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InternatIonal Journal of
Human CapItal and InformatIon
teCHnology professIonals
October-December 2010, Vol. 1, No. 4
Table of Contents
Research Articles
1
Trust as an Aspect of Organisational Culture: It’s Efects on Knowledge Sharing in
Virtual Communities
Abel Usoro, University of the West of Scotland, UK
Imran U Khan, University of the West of Scotland, UK
22 A Dynamic Approach to Introduce Competency Frameworks: Application to the IT
& Systems Management Domain
Alfonso Urquiza Echavarren, Universidad Francisco de Vitoria, Spain
37 Project Managers’ Competence Identiication
Heli Aramo-Immonen, Tampere University of Technology, Finland
Andrea Bikfalvi, University of Girona, Spain
Núria Mancebo, University of Girona, Spain
Hannu Vanharanta, Tampere University of Technology, Finland
52 The Determinants of Information Technology Wages
Jing Quan, Salisbury University, USA
Ronald Datero, Southwest Missouri State University, USA
Stuart D. Galup, Florida Atlantic University, USA
Kewal Dhariwal, Athabasca University, Canada
70 Learning in Networks of SMEs: A Case Study in the ICT Industry
Valentina Morandi, University of Brescia, Italy
Francesca Sgobbi, University of Brescia, Italy
84 Facades of Atractive Employer in Indian IT Industry: Existing Employee Perspective
R. Saraswathy, National Institute of Technology, India
N. Thamaraiselvan, National Institute of Technology, India
B. Senthilarasu, National Institute of Technology, India
M. Sivagnanasundaram, National Institute of Technology, India
Book Review:
103 “Leadership in the Digital Enterprise: Issues and Challenges”
Fernando Cabezas-Isla, Universidad Carlos III de Madrid, Spain
Cristina Casado-Lumbreras, Karakorum Servicios Profesionales, Spain
International Journal of Human Capital and Information Technology Professionals, 2(1), 1-21, January-March 2011 1
trust as an Aspect of
organisational culture:
It’s Effects on Knowledge Sharing
in Virtual communities
Abel Usoro, University of the West of Scotland, UK
Imran U Khan, University of the West of Scotland, UK
AbStrAct
Knowledge sharing is of much interest to both practitioners and researchers because of its potential to quicken
learning, enhance innovation, reduce costs, and place organisations on a competitive edge. A principal tool
for knowledge sharing has been identiied by researchers to be virtual communities in which research collaboration and other knowledge sharing activities easily take place. Some key factors examined in literature
as inluencing knowledge sharing are technological, economic, and cultural. This paper concentrates on
organisation culture with speciic focus on trust as its component. While trust has been researched in other
contexts, it has not been researched as an organisational cultural component that could affect knowledge
sharing in virtual communities. This gap in knowledge is what this paper aims to ill. A conceptual framework
is developed to express the relationship between trust components and knowledge sharing in virtual communities. The framework will be veriied in future empirical research; however, possible implications of the
research to research and practice are presented.
Keywords:
Conceptual Framework, Knowledge Sharing, Organisational Culture, Trust, Virtual Communities
IntroductIon
A real challenge for organisations at the beginning of the millennium was “....how to harness
the intelligence and spirit of people at all levels
of organisation to continually build and share
knowledge” (Senge, 1997, p. 32). Since then
researchers have shown that knowledge sharing
provides business with competitive advantage
(Reid, 2003), enhances innovative performance
DOI: 10.4018/jhcitp.2011010101
and reduces redundant learning efforts (Calantone, Cavusgil, & Zhao, 2002; Scarbrough,
2001). Most research has discussed technical
and economic aspects of knowledge sharing
while very limited attention is given to culture
specific factors that affect knowledge sharing.
Usoro et al. (2006) classified culture that affects
knowledge sharing into organisational and societal categories. They also noted that research
in culture is predominantly either value-based
or work-practice based and this paper takes the
work-practice approach.
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2 International Journal of Human Capital and Information Technology Professionals, 2(1), 1-21, January-March 2011
Organisation culture has many components
and trust is one of them. Trust itself can be
decomposed. For example, McAllister (1995)
categorised trust into affective and cognitive
categories. The effect of trust has been researched in different organisational aspects like
coordination and control at interpersonal and
organisational levels in the works of Shapiro
(1987, 1990) and Zucher (1986). At organisational level it can be differently analysed, for
example, trust in teams, trust of subordinates to
leaders or managers and trust between organisations (Pesamaa & Hari, 2007; Politis, 2003;
Selness & Sallis, 2003; Grayson & Ambler,
1999). Nonetheless, Zaheer, Bill, and Vincenzo
(1998, p. 141) noted that “considerable ambiguity is evident in the literature about the precise
role of trust as it operates at different levels of
analysis and its influence on performance.”
Thus, this research is one of the efforts at addressing the ambiguity on the role of trust. This
research examines trust from the point of view
of being a subset of organisational culture, and
investigates how it affects knowledge sharing.
The rest of this paper will present (a) research
problem; (b) existing research; (c) review of
literature; (d) IT professionals in virtual communities and knowledge sharing; (e) levels of
trust in organisation; (f) dimensions of trust;
(g) research model (h) implications; and (i)
limitations and future work.
rESEArch ProblEm
This research is part of a large scale study on the
‘effects of organisational culture on knowledge
sharing in virtual communities’. The current
paper focuses only on trust factor of organisational culture. To determine the effect of trust
on knowledge sharing, the level of trust in an
organisation has to be first established and this
is investigated in this paper.
The research problem can be illustrated by
Figure 1 below. The example supposes a virtual
community of three institutions: University of
the West of Scotland (UWS), Glasgow University and Strathclyde University. Assuming
that the trust levels (TL) of two organisations
are equal (TLuws == TLglas), the question is
whether the amount of knowledge they would
share among themselves or with others will vary
or be the same. On the other hand, assuming
that the trust level of Strathclyde University (see
Figure 1) is greater than that of UWS, does this
mean that the former institution will be more
inclined to share knowledge than the latter?
ExIStIng rESEArch
Mayer, Davis, and Schoorman (1995, 2007)
carried out a pioneer study that dimensioned
trust into benevolence, integrity and competence
or ability components and Sharratt and Usoro
(2007) used this dimension to hypothesize
relationships between them and knowledge
sharing in virtual communities. They found
that all three dimensions have positive relationships with knowledge sharing in virtual communities. This study is not repeating Sharratt
and Usoro’s (2007) study but focuses on trust
as an organisational cultural factor. The idea
of trust existing as a component of organisational culture is supported by other studies (cf.,
Gupta & Govindarajan, 2000; Park, Ribiere, &
Schultel., 2004).
Ismail, Nayla, and Yasmeen (2007) researched the relationship of organisational
culture and knowledge sharing. They used the
organisational cultural factors specified by
Govindarajan and Gupta (2000). Apart from
trust, they found information systems, communication, rewards and organisation structure
to be positively related to knowledge sharing.
One of the main limitations in their research
was generalisation because they collected data
only from Bahraini organisations. Ismail, Nayla,
and Yasmeen’s (2007) discussion of relationships between trust and knowledge sharing was
not in-depth and although it provides a good
foundation for the current study, the context of
the latter is virtual communities, making the
research reported by this paper unique.
Figure 2 clearly draws the boundary to the
research and puts trust and knowledge sharing in
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International Journal of Human Capital and Information Technology Professionals, 2(1), 1-21, January-March 2011 3
Figure 1. Research problem example
the contexts of organisational culture and virtual
communities, respectively. This paper, which
focuses only on trust, is part of a larger scope
of study into how organisational culture affects
knowledge sharing in virtual communities.
rEVIEw of lItErAturE
organisational culture
Schein (1985) describes organisational culture
as a set of implicit assumptions held by members of a group that determines how the group
behaves and responds to its environment. It
reflects member’s experiences, their beliefs,
attitudes and values.
Though organisational culture is described
as implicit, the main approach to its is not only
value based but also work-practice based (Usoro
& Kuofie, 2006). Park et al. (2004) used valuebased approach to study culture and dimensioned organisational culture into trust, sharing
information freely and working closely together
or making friends. However, he acknowledged
that if the purpose of the research is to obtain
a global perception then a questionnaire using
practice-based approach would be adequate.
The researchers who believe that value based
approach is not the most appropriate approach
argue that organisations show more differences
in work practices than in values (Hofstede,
2001, p. 394). In a slight similarity to Park et
al.’s (2004) view, Berg and Wilderom’s (2004)
consider values as important but at the same time
they consider values as sometimes a difficult
factor to contain within an organisation: it is
difficult to draw a boundary between values that
belong to an organisation and those that are not.
Thus, they preferred work-practice approach
to studying organisational culture more so as
the approach would highlight more differences
between organisations. Their specified dimensions of culture are:
•
•
•
•
•
Autonomy.
External orientation.
Interdepartmental coordination.
Human resource content.
Improvement orientation.
Identifying with these arguments, this research also adopts the practice based approach.
trust as a concept
Trust has been studied in different disciplines
like psychology like in psychology (Rotter,
1971, 1980; Elliott & Yannopoulou, 2007) and
different contexts like in organisations (Bijlsma
& Koopman, 2003), and virtual communities
(Casalo, Flavian, & Guinaliu., 2008), to name
only a few. Moreover, different approaches have
been used. For example Bhatacharya, Devinney,
and Pillutla (1998) used a highly statistical and
mathematical approach to examine and define
it. Nonetheless, they agree (after they examined
various definitions and studies across different
disciplines) that no matter the approach used or
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4 International Journal of Human Capital and Information Technology Professionals, 2(1), 1-21, January-March 2011
Figure 2. Research boundary
the discipline of study, common characteristics
are evident. These characteristics are that:
•
•
•
•
•
•
Trust exists in an uncertain and risky
environment;
Trust reflects an aspect of predictability,
that is, it is an expectancy;
Trust’s importance differs according to
circumstance;
Trust has some strength over time and
circumstance;
Trust exists in an environment of mutuality,
that is, it is situation and person specific; and
Trust is associated with positive (not negative) outcomes.
Rousseau et al. (1998) agreed with the idea
of uncertainty (or vulnerability) in trust and
expectancy which two characteristics, he considered, are common in most trust definitions.
Another scholar who agreed on expectancy
characteristic is Rotter (1967, p. 651) with his
definition of trust as “an expectancy held by an
individual or a group that the word, promise,
verbal or written statement of another individual
or group can be relied upon.”
The variability of importance and strength
of trust accounts for each trust situation and the
difference in consequence of trusting. For example, the reliability of public transport turning
up in time in an African village may be scored
the strength of 50%, much lower than in a city
as London. However, their importance may be
the same as the consequence of a late bus in a
relaxed African village but may be as severe
as such lateness in London.
Bhatacharya et al.’s (1998) also include
mutuality in the same way that trust is specific
to individuals and situations. A religious clergy
or politician can be very much trusted by their
followers but even among the followers there
are likely to be variations which are also based
on the situations – a member of the laity may
trust his or her clergy on certain pronouncements
but not on others for instance. To emphasise the
variability of trust, Barney and Hansen (1994)
describes weak, semi-strong and strong forms
of trust.
The last item on Bhatacharya et al.’s (1998)
list is the positive nature of all trusts. Perhaps
this is reflected in the idea of competence
included in Mayer et al.’s (2007) definition of
trust. The trustee is expected to be competent
or able to perform.
Bhatacharya et al.’s (1998) synthesised
characteristics appear comprehensive. However, it can be added that trust is not only between
individuals but can have inanimate entities as a
party or parties in the trust relationship. Rotter
(1967, p. 651) in his definition above included
the fact that an entity can be a group and not
just an individual. An organisation can also
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International Journal of Human Capital and Information Technology Professionals, 2(1), 1-21, January-March 2011 5
constitute an entity in a trust relationship as
exemplified in the research literature (cf., Selness & Sallis, 2003; Smith & Barclay, 1997;
and Zaher, Bill, & Vincenzo, 1998).
Perhaps a way of viewing trust as a process
and taking into consideration the foregoing
discussion is Figure 3.
Using Figure 3, trust can be defined as the
expectations that an entity (a trustor) has that
another entity (a trustee) will fulfil promises,
through proper actions using the trustor’s
knowledge and skills; and that the outcomes
will be desirable to the trustor. Mutuality and
variability of trust have to be noted as implicit
in this definition. That variability and mutuality account for different trust relationships and
makes measurements and comparative research,
such as the one this paper proposes, possible.
trust in organisational culture
As has been indicated before, trust has been
researched as a component of organisational
culture. Thus, as shown in Figure 4, Gupta
and Govindarajan (2000) include trust in their
dimensions of organisational culture. More
recently, Park et al. (2004) also positioned trust
within organisational culture just as Tyler (2003)
did in his research which indicated that the
change in the nature of organisations increases
the importance of trust within and between them.
One of such changes is virtuality with the use of
information systems to glue together separated
entities of organisations. Trust need to exist
within and between these entities for them to
share knowledge and collaboratively progress.
In an organisation, trust can be noticed in
different areas, for example, trust in teams, trust
between colleagues and trust of subordinates
towards managers. Trust benefits organisations
in many ways, for example trust between managers and members reduces or even eliminates
monitoring (Costa, Roe, & Taillieu, 2001). Trust
works as a lubricant in a wide array of organisational processes (Bijlsma et al., 2003) and
economic transactions by creating good relations between actors and saves the organisation
monitoring costs (Creed & Miles, 1996; Pow-
ell, 1990). It has been empirically proven that
trust is positively related to team performance,
team satisfaction and relationship commitment
(Costa et al., 2001). Trust leads to acceptance
of decisions (Tyler, 2003) and acceptance of
influence (Tyler & Degoey, 1996). The foregoing discussion indicates that trust is a component
of organisational culture and has great importance in organisations.
Virtual communities
Preece (2000) made the point that virtual communities are complex social systems enabled
by complex sets of information technologies.
Rheingold (1994), considered as one of the first
to present the meaning of a virtual community,
described it as a social aggregation that emerges
after people using communication technologies
(typically the Internet) have carried out enough
discussions, with sufficient feelings, to form
relationships. Scholars generally agree that
members of virtual communities most often
do not meet face to face but are connected by
technology (Camison, Palacios, Garrigos, &
Devece, 2009; Hsu, Ju, Yen, & Chang, 2007, p.
153) which removes the space and time barriers
(Andersen, 2005).
The motivation is to gain social support
and sense of belonging, to share or pursue a
common interest which may be fantasies and/
or transactions (Hagel & Armstrong, 1998).
Another important reason why people belong
to virtual communities has been said to be
knowledge sharing which can be research collaboration, data or message exchange (Wang,
Yu, & Fesenmaier, 2002). Hence, virtual communities have been recognised an important tool
of Knowledge Management (KM) (Camison
et al., 2009).
Wasko and Faraj (2005) investigated why
people share their knowledge with others in
electronic networks of practice. They found that
both reputation and centrality have significant
influences on the helpfulness and volume of
knowledge contribution. Knowledge can flow
easily when employees view knowledge as a
public good belonging to the whole organiza-
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6 International Journal of Human Capital and Information Technology Professionals, 2(1), 1-21, January-March 2011
Figure 3. Stages of trust
tion (Ardichvili et al., 2003). Kollock (1999)
suggested that there are four possible reasons
why a person is motivated to contribute valuable
information or resources to a group. They are:
•
•
•
•
The expectation that one will subsequently
receive useful help in return;
The increasing of one’s own reputation and
status in the group through contributing;
A sense of efficacy; and
The feeling of belonging to the group.
Virtual communities are therefore good
platforms for knowledge sharing.
Knowledge Sharing
Lin (2007) defines knowledge sharing as a
social interaction culture, involving exchange
of employee knowledge, experience and skills.
In Davenport and Prusak’s (1998) opinion,
organisations are like knowledge markets,
where buyers (people seeking knowledge),
sellers (people with substantial knowledge), and
brokers (people making connections between
buyers and sellers) engage through some form
of communication which results in knowledge
sharing. Knowledge sharing has been proved
by studies to be of great importance to organisations as it provides them with competitive
advantage (Reid, 2003). Other researchers have
demonstrated that knowledge sharing enhances
innovative performance and reduces redundant
learning efforts (Calantone et al., 2002; Scarbrough, 2003); and innovative performance
is the principal mechanism for organisational
growth and sustainability (Sullivan & Dooley,
2010).
Hooff and Weenen (2004a) indicated that
the practice of mutual knowledge exchange
between employees result in jointly creating
new knowledge and they identified two dimensions of knowledge sharing: knowledge donating (communicating their personal intellectual
capital to others) and knowledge collecting
(consulting colleagues to encourage them to
share their intellectual capital).
It ProfESSIonAlS In
VIrtuAl communItIES And
KnowlEdgE ShArIng
In an organisation IT department consists of
various personnel whose skills can generally be
divided into technical and non-technical skills
(Goles, Hawk, & Kaiser, 2008). Hardware,
systems and application software, and telecommunications skills are some of the examples of
technical skills (Cash, Yoong, & Huff, 2004).
Trigo et al. (2010) described non-technical skills
generally to include: (a) business skills, such
as knowledge of the organization’s structure,
strategy, processes and culture and the ability to understand the business environment;
(b) management skills as planning, leading,
organizing and controlling; and (c) soft skills.
Both technical and non-technical professionals can find virtual communities very useful
in sharing their experiences, seeking solutions
and learning new techniques. Virtual communities formed by professionals are known as professional virtual communities (PVC). Bifulco
and Santoro (2005) developed a conceptual
framework for professional virtual communities
and described them as emerging human-centred
new organisational arrangements aimed at le-
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International Journal of Human Capital and Information Technology Professionals, 2(1), 1-21, January-March 2011 7
Figure 4. Organisational culture dimensions from the work of Gupta and Govindarajan (2000)
veraging knowledge management development,
value creation and social welfare.
Companies like SUN, Microsoft and others
build virtual communities for staff and customers, where they can post a question, reply to
queries, find others’ opinions and perform other
knowledge sharing activities. The diversity of a
virtual community makes it a unique and useful tool for knowledge sharing as its members
have different levels of experience and are from
different cultures and backgrounds. An answer
to a typical question may not be possessed by a
friend or colleague in close proximity. On the
other hand a virtual community can enable the
fetching of the answer from a distant community
member who may not even belong to the same
organisation as the enquirer.
As implied in the foregoing, virtual communities can provide numerous benefits to IT
professionals but only a few are listed here:
•
•
•
•
•
•
Collaborating in research;
Developing new ideas;
Learning new techniques;
Finding out different opinions about
something;
Finding out new developments; and
Finding different solutions to a problem.
This study will help IT professionals from
different organisations to understand how their
organisational culture affects their knowledge
sharing activity in virtual communities which
often cut across organisational boundaries.
lEVElS of truSt In
An orgAnISAtIon
Literature shows that trust exists at different
levels of analysis. For example, trust exists
within individuals, within groups or organisations and between organisations. Mishra (1996)
confirmed that trust exists even at institutional
level, for example, the public’s trust in their
political system. Trust as a factor in an organisation is considered to be very important and
much research has been conducted on it (Gupta
& Govindarajan, 2000; Park et al., 2004).
In organisations, trust can be noticed in
teams, between subordinates and their leaders
or managers, between different departments,
between external (customers/suppliers) and
organisations and between organisations.
Zaheer et al. (1998, p. 141) noted that “considerable ambiguity is evident in the literature
about the precise role of trust as it operates at
different levels of analysis and its influence on
performance”. To systematically study trust in
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is prohibited.
8 International Journal of Human Capital and Information Technology Professionals, 2(1), 1-21, January-March 2011
an organisation and to simplify its role so that
its level in an organisation can be assessed,
we have proposed that trust should be based
on interactions. Interactions can be internal
among members of an organisation or with
external entities like suppliers, customers and
competitors. Interactions may create a relationship between inter-actionists. On the basis of
this main categorisation of interactions in an
organisation (internal and external) trust has
been divided into internal and external levels
(of trust) in this research as shown in Figure 5.
•
•
Internal trust consists of trust between
members of organisations. This trust level
has different sub levels like trust between
subordinates and managers, between managers or between subordinates.
External trust consists of trust between an
organisation and external entities. Some
of the sub levels of external trust are trust
between customers and organisation, between suppliers and organisation and inter
organisational level.
For an organisation trust is operationally
defined in terms of the average level of trust
among the members of the organisation (Mishra,
1996). In this research organisational trust consists of internal and external trusts which are
considered as exhaustive generalisation of the
trust levels as seen in existing literature (and
to the best of the authors’ knowledge). These
literature-supported levels, e.g., trust between
organisation and members (Gabarro, 1987;
Tyler, 1996), are used as subcomponents of
internal and external trust. Full literature support of the subcomponents is presented in the
sections that follow.
Interpersonal Level
Interpersonal trust describes trust between coworkers (Ismail et al., 2007) and is recognised
as an attribute of organisational culture (Gupta
& Govindarajan, 2000). Organisational members almost always depend on the support and
cooperation of each other. It is interpersonal
level trust that facilitates cooperation among
staff members (Pesamaa et al., 2007). Trust
at interpersonal level increases social control
and facilitates reciprocity and sympathy (Axelrod, 1984). When there is similarity in ideas
and thinking, then performing organisational
task effectively and efficiently might not be
a problem. When interpersonal trust is high
between staff they might have good relationship with each other, staff may use their skills
and abilities, and might share their knowledge
to help themselves. Politis (2003) empirically
showed that interpersonal trust is essential for
knowledge sharing and collaboration in teams.
Members of virtual communities, having
high interpersonal levels of trust in organisations in which they work, might trust other
participants of virtual communities making
the chances of creating a trusting relationship
very high. Participants of virtual communities
should cooperate with each other by replying
to postings on virtual communities, starting
discussion, giving suggestions, providing
sources or direction. If an organisation has high
interpersonal levels of trust then it should have
a positive effect on knowledge sharing in virtual
communities. Thus,
Hypothesis 1: A high interpersonal level of trust
has a positive relationship with knowledge sharing in virtual communities.
Internal trust
Between Organisation and Staff
Internal trust refers to trust between entities
inside the organisation, i.e., an organisation
towards its members, members towards their
organisation and interpersonal trust (between
members. Figure 6 lists a sample of studies
related to internal level of trust.
According to Jude Welles (2005), in a survey
in 2004 by Rights Management consultants,
about thirty five percent (35%) of new managers
and executives in industry failed in their jobs
because of their inability to build relationships
and teamwork with staff. A good relationship
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International Journal of Human Capital and Information Technology Professionals, 2(1), 1-21, January-March 2011 9
between managers and staff is important for
organisations. Trust can play a positive role to
create enabling relationships between managers
and staff. Thus, Gabarro (1987) emphasized
that trust is one of the main characteristics that
subordinates want in their leaders; and this is
very important because these leaders or managers are the principal representatives of the
organisation and through them can members
trust the organisation.
If the managers trust their employees there
will be less control and monitoring (Costa et
al., 2001), the chance of positive reply from
employees towards organisation may be high;
and the organisation can expect them to use their
skills and share their knowledge with each other
to perform tasks. Moreover, the chances are high
that employees will share their expertise (knowledge) with other colleagues, be committed to
the organisation, be loyal to the organisation,
and perform extra roles (Tyler, 1996). Iverson,
McLeod and Erwinl (1996) proved empirically
that employee trust is a significant determinant
of organisational performance.
To highlight changing organisational work
environment, Costa et al. (2001, p. 226) stated
that “traditional forms of management have been
replaced by more collaborative approaches that
emphasize coordination, sharing of responsibilities and the participation of the workers in the
decision processes”. In this new work environment more and more people work from home
or from miles away, so controlling such staff
is difficult. Thus, to have a trust relationship
in such a situation would be very helpful. In
this direction, Child and Guido (2003) found
that corporate manager’s trust in their foreign
entities’ performance is positively related to
growth in sales and profits.
When an organisation has a high trust level
between itself and its staff then the chances are
high that members from such an organisation
will share their knowledge with other participants in virtual communities which may traverse
organisational boundaries. Thus,
effect on knowledge sharing in virtual
communities.
External trust
External trust exists between organisation
members and external entities like customers,
suppliers and other organisations. Figure 7 lists
research related to external level of trust.
Organisation and Customers
Businesses are established to earn money. However, competition and customer’s knowledge
of the market are among some of the factors
that make it difficult to gain profit. Customers
not only want products but also good services.
If a business is only about earning money and
ignoring customer satisfaction, very soon such
a business will disappear from the market.
Thus the best strategy for a business is to have
a win-win relationship; profit for the business
and satisfaction for customers.
To compete and gain profit, businesses
need to build relationships with customers.
Trust plays a significant role in achieving this
objective (Guenzi, Johnson, & Castaldo, 2009).
Customer trust in an organisation is affected by
trust in both the staff and organisation branded
products (Guenzi et al., 2009). Trust is one of
the important drivers of customer retention
(Ranaweera & Prabhu, 2003). Gremler et al
(2001) specified dimensions of interpersonal
bonds: trust, rapport, care and familiarity. They
claimed that customer’s trust in employees has
a positive relationship with WOM (word of
mouth) of customers about the organisation.
The outcome of trust relationships between
customers and an organisation may not be
limited to profit of business or satisfaction of
customers but can extend to willingness to share
their experience (knowledge) with the organisation. In virtual communities such customers
may respond to questions asked, take part or
start discussions, give suggestions and perform
other knowledge sharing activities. Thus,
Hypothesis 2: A high trust relationship between
staff and an organisation has a positive
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10 International Journal of Human Capital and Information Technology Professionals, 2(1), 1-21, January-March 2011
Figure 5. Categories of trust
Figure 6. Internal trust
Hypotheses 3: A trust relationship between
organisation and customers is positively
related to knowledge sharing in virtual
communities.
Inter-Organisational Level
Inter-organisational trust level means trust
between two or more organisations some of
which may be suppliers, competitors or other
types of organisations. Most modern businesses
survive on inter-organisational collaborations. A
typical organisation often has limited expertise
hence the necessity to collaborate with other
organisations. Some of the main goals of such
collaboration are: to develop new products
(Rindleisch & Moorman, 2001), to strengthen
supply chains (Wathne & Heide, 2004), to
reduce operating costs (Cannon & Homburg,
2001) and to devise industry standards (e.g.,
the 3G project of Qualcom, Ericsson, and others). For a successful cooperation between two
organisations more than friendship is required.
Pesamaa et al. (2007) empirically proved that
trust and commitment will initiate cooperation
between two businesses. Inter-organisational
trust reduces costs and opportunistic behaviours
(Selnes & Sallis, 2003). Research has found
out that inter-organisational trust increases
performance (Selnes & Sallis, 2003; Zaheer
et al., 1998; Smith & Barclay, 1997). If an organisation has a high inter-organisational trust
level then its members might trust members of
other organisations easily and will help participants to solve their problems, be more open to
start discussion, develop more innovative and
original solutions, respond to questions posted
by members, guide each other and thus they
will be sharing their tacit knowledge with each
other. Virtual communities often span across
different organisations thus inter-organisational
trust can be very important. There seems to be a
positive connection between knowledge sharing
and high inter-organisational trust level. Thus,
Hypothesis 4: Organisation members having high inter-organisational trust level
increases knowledge sharing in virtual
communities.
dImEnSIonS of truSt
Previous research has shown some similarity in
dimensioning the trust concept. Most of these
previous studies were context specific. The
dimensions specified by Mayer et al. (1995)
which are integrity, benevolence and ability or competence are mostly cited by other
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International Journal of Human Capital and Information Technology Professionals, 2(1), 1-21, January-March 2011 11
researchers and many believe that these are
very generalized dimensions of trust. These
trust dimensions along with those proposed
by other researchers are summarised in Table
1 below (Costa et al., 2001; Sako, 1992; Mayer
et al., 1995; McAllister, 1995; Ganesan, 1994).
As indicated on Table 2, these dimensions
from earlier research have been mapped into
benevolence, knowledgeableness and openness
which are the three trust dimensions adopted
and used in this research.
suppliers then a trusting relationship may engender between an organisation and suppliers.
Benevolence can create a good relationship at
inter-organisational level too.
Benevolence can initiate a feeling of
kindness and helpfulness between human and
organisational entities. When entities are benevolent to each other there is a high possibility
that they will trust each other.
benevolence
Knowledge is necessary not only for good performance of tasks but also for earning respect
and trust from other employees.
In internal level of trust (interpersonal as
well as between staff and organisation) knowledgeableness can create a trusting relationship.
Generally in an organisation, staff and managers
trust those individuals who know their jobs well;
for example, in colleges and universities teachers’ knowledge is one of the reasons that their
students trust and respect them. Knowledgeableness helps in creating a trusting relationship
between parties and this enhances knowledge
sharing between colleagues.
Knowledgeableness has roots in the ability
(competence) dimension of trust which is specified by Mayer et al. (2007). Mayer et al. (2007,
p. 346) highlighted the importance of ability
(competence) in a supplier/buyer relationship.
According to them, “if the supplier’s ability to
deliver is questionable, it will not be trusted”.
If the external entities of an organisation are
able and skilful it may increase the chance for
the organisation to trust such an entity.
Benevolence means to be kind and helpful. It is
the extent to which a party is believed to want
to do good for the trusting party, aside from a
selfish profit motive (Mayer et al., 2007). It can
also imply being forgiven of other’s misgivings.
Benevolence is a very important dimension of
trust both at internal and external levels of trust
of an organisation. The role of benevolence at
internal level of trust is very clear and we can
find many examples where this dimension can
play a significant role. In an organisation if a
person is kind, other colleagues generally trust
that individual. Similarly when a manager is
benevolent to her subordinates, they will likely
trust her.
Benevolence in external level of trust of
an organisation has also a significant role.
For example, if customers perceive that an
organisation’s staffs are kind and helpful then
the chances should be very high that customers will trust such an organisation. Similarly,
if an organisation staffs are benevolent to
Knowledgeableness
Figure 7. External trust
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12 International Journal of Human Capital and Information Technology Professionals, 2(1), 1-21, January-March 2011
The belief that the second party is highly
knowledgeable can create de-motivational factors. For example, if we meet a person who is
more highly educated than us, we may shy away
from quickly expressing our views because we
are afraid of making wrong statements. Conversely, a knowledgeable individual may not
share his knowledge with others because of fear
of risking his job. McClure and Faraj (2000)
found that people think of their knowledge as a
private asset and a competitive advantage thus
some members of an organisation would not
share their knowledge with colleagues. However, Ardichivli et al. (2003) found that only a
small minority do not share their knowledge
because of information hoarding.
from literature are listed and grouped with
respect to similarity. On the left dimensions
which we specified in this research are listed.
The +++ shows strong correspondence between
our dimension with those from literature, +
represents some correspondence and – means
that there is no correspondence. For example,
the second line in the Table shows +, +++
and – entries. It means that benevolence has
some relationship with integrity, fairness and
credibility, +++ means openness has strong
relationship and – indicates that it is difficult
to find any examples where the relationship
between knowledgeableness can be established
with those on the right.
openness
rESEArch modEl
If a person is knowledgeable and benevolent but
is not open in communication, trust would be
dampened. Openness, which refers to expressing of thoughts and feelings without restrictions,
is very important in both internal and external
levels of trust.
In internal level of trust (interpersonal
and between staff and organisation) openness
helps in creating a trusting relationship. In an
organisation, staffs usually trust those colleagues and managers who are honest and fair.
If an individual believes that his colleague is
unnecessarily hiding information that should be
shared then he might not trust that colleague.
Staff trusts those managers who are honest in
fulfilling their promises.
In external level of trust (between organisation and other external entities), openness is
equally important. For example, if a supplier
is open (and honest) with an organisation, it
may create or increase the trust relationship
between the organisation and its suppliers. This
will help in sharing useful knowledge between
themselves.
Table 2 presents the dimensions of trust
specified in this research. The table consists
of mainly two parts. On the right, dimensions
The model on Figure 8 consists of dimensions
of trust and levels of trust. The three dimensions of trust which are benevolence, openness
and knowledgeableness determine the four
sub-levels of trust in organisation. The four
sub levels of trust are interpersonal, staff and
organisations, inter-organisational; and organisation and customers. Each dimension of trust is
a component in each of the four levels of trust.
The four levels of trust determine the internal
and external levels of trust. The model suggests
that internal and external levels of trust have
positive relationships with knowledge sharing.
ImPlIcAtIonS
Even though the research is currently at a
conceptual rather than an empirical level, a
number of implications can be drawn. Firstly,
managers should encourage knowledge sharing by building trust relationships with and
among organisation members. Having good
trust relationships between managers and staff
will not only help in sharing knowledge but will
affect on organisation performance as a whole.
Good trust relationships will help in securing
manager’s jobs as Jude Welles (2004) observed
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International Journal of Human Capital and Information Technology Professionals, 2(1), 1-21, January-March 2011 13
Table 1. Dimensions of trust from previous researches
Dimensions
Authors
1. Faith
2. Confidence
Cook and Wall (1980)
3. Competence
4. Goodwill
5. Fairness
6. Contractual
Sako (1992)
1. Integrity
2. Benevolence
3. Competence or Ability
Mayer et al (1995)
1. Cognitive
2. Affective
McAllister (1995)
1. Credibility
2. Benevolence
Ganesan (1994)
Table 2. Dimensions of trust
Correspondence with presented dimensions
Trust dimensions in several studies grouped
with respect to similarity
Mayer et al,
2007
Sako, 1992
Ganesan,
1994
Cook and
Wall, 1980
Benevolence
Benevolence
Goodwill
Benevolence
Faith
+++
+
_
Integrity
Fairness
Credibility
+
+++
_
Competence
Competence
_
_
+++
_
_
_
Contractual
Confidence
Openness
Knowledgeabl
eness
Figure 8. Research model: trust levels in an organisation and knowledge sharing
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14 International Journal of Human Capital and Information Technology Professionals, 2(1), 1-21, January-March 2011
that 35% managers failed in their jobs because
they failed to build trust relationships with their
employees.
Secondly, this research simplifies the role
of trust in organisations by dividing the role into
internal and external levels; thus contributing to
literature that endeavours to clear the ambiguity
in the role trust plays in organisations (Zaheer
et al., 1998).
Thirdly, with regards to customers, this
paper shows the importance of creating and
maintaining a trusting relationship. The field
of customer relationship management has
contributions to managers on how to do this.
But suffice to say that organisations should
maintain their capabilities, transparency (openness) and dependability to their stakeholders
who are more than customers. Especially with
the current economic recession, stakeholders’
loyalty and support are very important to the
existence of organisations.
Fourthly, inter-personal trust should be
encouraged within an organisation. This would
not develop without personal interactions
among staff. So, managers should organise
and manage in a way that enables sufficient
interactions whether face to face or virtually.
The managers themselves should show a good
example of being trustworthy and making their
subordinates feel trusted.
Fifthly, inter-organisational relationships
cannot be avoided in the current age of collaboration often along supply chain lines.
Whether the relationships are horizontal or
vertical, trust is its lubricant. Managers should
ensure that their organisations keep their side
of any contracts they have with their partners
or suppliers. By positively contributing to the
relationship they will be using their capabilities
to build and maintain trust.
Finally, the research model will help managers to carry out trust related analysis of the
organisation. The research model is simple and
defines the different levels and components of
trust in an organisation.
lImItAtIonS And
futurE worK
This paper reports on a part of a study that
investigates the effect of organisational culture
on knowledge sharing in virtual communities.
It focuses on trust as an organisational cultural
component. The various dimensioning of trust in
literature has been synthesised into benevolence,
knowledgeableness and openness. Almost every
research has some limitations and this paper is
no exception to that.
Trust has been divided into internal and
external levels of trust. These two levels have
further sub levels of trust in organisation. In
this research only a few sub levels of trust have
been identified. Research should be conducted
to define the more complete list of sublevels of
internal and external levels of trust.
This in only a conceptual study and not
yet supported by empirical evidence. There
is therefore a need for a follow up empirical
study that will begin with the operationlization
of the theoretical model such that data can be
collected and analysed to test the relationships
between the constructs of the model. A survey
using questionnaire method will be used to
gather data that will be analysed to examine
the research model.
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Zaheer, A., Bill, M., & Vincenzo, P. (1998). Does Trust
Matter? Exploring the effects of internorganisational
& interpersonal trust on performance. Organization
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Wang, Y., Yu, Q., & Fesenmaier, D. R. (2002). Defining the virtual tourist community: implications for
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Abel Usoro lectures in the School of Computing, University of the West of Scotland, UK. His
current research interest is in information systems which includes knowledge management, elearning and e-tourism. He has published book chapters, in refereed international conferences
and journals (such as International Journal of Information Management, International Journal
of Global Information Management and International Journal of Knowledge Management).
His academic work has taken him to many countries in Africa, Europe, Asia, North and South
America. He is a member of scientific committees of many international conferences and chairs
one of them (Conference on Information Technology and Economic Development – www.uws.
ac.uk/cited2010). He is also a member of the British Computing Society.
Imran Ullah Khan is a Doctoral researcher in the School of Computing, University of the West
of Scotland, UK. He obtained MSc Computing and Information Systems from Liverpool JMU,
PGCert Research methods from UWS and is on the way to achieve PGCert TLHE. His research
interests include organizational culture, knowledge management and autonomous systems. His
current research work is on knowledge management with particular emphasis on the cultural
aspects of knowledge sharing in on-line communities. He has contributed to international conferences and published in international journal.
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18 International Journal of Human Capital and Information Technology Professionals, 2(1), 1-21, January-March 2011
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22 International Journal of Human Capital and Information Technology Professionals, 2(1), 22-36, January-March 2011
A dynamic Approach to
Introduce competency
frameworks:
Application to the It & Systems
management domain
Alfonso Urquiza Echavarren, Universidad Francisco de Vitoria, Spain
AbStrAct
Although a wide consensus exists about potential business beneits derived from Competency based HR
management practices, reality shows that in practice, Competency Management deployment cases are scarce
and dificult to implement. This HR business related problem directly affects IT Software industries, both in
HRMS applications development and consultancy related services. Market indicators relect ‘unbalance’
between potential organizational beneits and actual applications deployment. In this context, deining useful, business-oriented Competency Frameworks has become an important challenge for many organizations
willing to progress along through continuous HRM improvement processes. This paper addresses the major
issues underlying this Competency Management unbalance. A new business-oriented approach proposing
an alternative, scope extended methodology is outlined in this publication, after ield validation and wide
acceptance from experts in functional HR management and IT Systems professionals from various large size
organizations. Therefore, the indings resulting from this research work have both theoretical and practical
implications in helping IT management in deining eficient HRMS Competency based applications and
deployment strategies.
Keywords:
CIO Skills, Competencies, Competency Frameworks, Human Capital Management, Systems
Management Model
IntroductIon:
bAcKground And IntErESt
In comPEtEncy bASEd
mAnAgEmEnt
Today’s Human Resources (HR) management
evolution from a traditional functional support
DOI: 10.4018/jhcitp.2011010102
activity to a process-oriented, business-aligned
scenario is shaping the way in which HR professionals work and the scope and architecture
of Human Resources Management Systems
(HRMS) provided by the Software Industry.
Traditionally, large size organizations
focussed primary interest in this area towards
Payroll and other basic administrative functions automation. Other required management
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International Journal of Human Capital and Information Technology Professionals, 2(1), 22-36, January-March 2011 23
activities such as recruitment or training were
also performed in a semi or non automated or
integrated manner, thus generating relatively
large staff departmental units dedicated to
HR, not directly linked to main organizational
business.
Most recent organizational scenarios
produced new efforts focussed to generate efficiency, transforming and automating most HR
operations in place in which process flows were
handled as ‘automated transactions’ and selfservice tasks directly implicating employees
became common, enhancing task-driven routines formerly performed by HR departments.
Within this background scenario, CM business interest appears very much linked to the new
Human Capital (HC) paradigm (Blain & Dodd,
1999). Two new dimensions appear. The first is
that a new strategic role is expected from HR,
linked to what is known as Talent management.
The second one is that HR becomes another
component within the organization such as IT,
Financial Management, Supply Chain Management, Customer Relations Management or any
other, all of them driven to produce products or
services generating value to the Customer. HC
organizational Talent investment value (Cantrel,
Benton, Laudal, & Thomas, 2006) needs now to
be continuously measured and managed. Two
associated facts are shaping the development
of the new economy:
•
The first is that the Talent market is becoming one of the levers of value determining success in most business markets.
Independently of current financial crisis,
business markets are generally growing
while ‘Talent markets’, particularly in
technology driven organizations, seems to
be shrinking, so that Talent is considered a
most valuable asset requiring new management approaches in today’s organizations.
It is in this context where CM practices are
viewed as a most valuable HR business
approach to define, measure and manage
these talent assets, the Human Capital of
the organization.
•
The second one is the growing contribution
of Information Technology & Systems to
most organizations business results. EBusiness process transformation is boosting the development of new management
approaches, such as HRMS’s.
It is in this comprehensive management
context, conditioned by increasing business
expectations from managing and developing organization’s workforce, where CM becomes the
integrating key component in HC Management
Systems (Sagi-Vela, 2004) reshaping today’s
and future E-HRM implementation strategies.
Analysts add HR professionals throughout the
world have published research initiatives results
validating the potential business benefits and
performance improvement effects derived from
implementing Competency based HR management practices. Probably the most significant
starting point in building interest in CM comes
from the publication of a most interesting book
from (Boyatzis, 1982) in which the Competency
orientation effect as a conceptual response to
competitive business challenges is identified.
CM usually pursues the following goals:
1) Support business objectives, providing
information to acquire, maintain, influence,
develop and retain the right employees.
2) Align people, processes and technology
around shared values.
3) Measure the strategic value of Human
Capital investments.
4) Anticipate human capital changes.
5) Learn from industry best practices, leveraging benchmarking data.
The reference guide generated by SEI’s
People Capability Maturity Model or P-CMM
(Curtis, 2001) is another example of trust and
confidence in the CM approach. P-CMM is a
five level reference model built upon experience in implementing employee’s performance
continuous improvement practices in a selected
number of multinational and large size organizations. The competency-based practices appli-
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24 International Journal of Human Capital and Information Technology Professionals, 2(1), 22-36, January-March 2011
cation appears in the most significant Process
areas of the 3 highest Maturity Levels (Defined,
Predictable and Optimizing) within the Model.
The stated market CM ‘unbalance’ situation between business potential and actual real
deployment extend is proven by our research
findings, showing that 86% of Spain´ s largest organizations have interest in deploying
improved, comprehensive Competency based
management practices, but just 24% of them
have put in place long term HRM SW transformation initiatives in place. Management
related Competency Framework’s research
result indicates that the subject is still immature. Theoretical oriented initiatives such as the
work presented by (Ravarini, Moro, Tagliavini,
& Guimaraes, 2004) are based in statistically
collected information from thousands of IT
professionals around the globe, but when it
comes to practical implementations, although
interesting to consider as a starting reference,
they do not fit into the specific business context
of individual organizations and are difficult to
keep updated and business-aligned in dynamic
organizational scenarios. Researchers, HR
professionals and IT specialists demand new
innovative research efforts to try to break trough
potential barriers and speed up the deployment
of new, business aligned CM based initiatives.
Competency Management (CM) is considered by some authors (Sagi-Vela, 2004) as
a complementary methodology to other related
HR management practices, such as emotional
intelligence or very often, Knowledge Management. Most of today’s known research
initiatives relating Intellectual Capital and
technology (Mayo, 2002), (Lindgren, Stenmark,
& Ljungberg, 2003), Ward and Aurum (2004)
are usually focussed to Knowledge Management (KM), while CM contributions are scarce,
directed to specific related aspects as corporate
organizational effects (Lindgren, 2005) or Competencies development (Hardless, 2005). Both
concepts – KM and CM – are closely related, but
the first deals more with the capture, analysis,
application and reuse of Knowledge within the
organization, with the objective of improving
business processes quality, reducing costs and
generating competitive advantage. CM however
is mostly focused towards employee life cycle
management in the organization. In the field of
IT, several efforts are devoted to the importance
of CM in this field (e.g., Colomo-Palacios et
al., 2010; Ruano-Mayoral et al., 2010; Trigo
et al., 2010).
The necessity to suggest new proposals around organizational CM application is
evident as indicated by (Grzda, 2004). His
research results concludes that a major problem
behind the usage of organizational Competency
Frameworks is due to the conceptual ambiguity
in Competency definitions, due to complex job
definitions schemas and formal contradictions in
dependant or independent variables definitions
used by Competencies.
The identified innovation requirements
and wide interest concerning Competency
Frameworks definition justifies the efforts in this
research, mainly focused to provide guidance
in IT strategic decision making for Software
application developers and consultancy services. The methodological suggested approach
to organizational Competency Frameworks
described in following parts of this paper has
been successfully validated in various large size
organizations, considering both theoretical and
practical implications.
common ASPEctS
In orgAnIzAtIonAl
comPEtEncy frAmEworKS
Competency Frameworks are currently just
viewed as a model definition of Competencies,
to be used by individuals in HR management
processes as maps or indications of behaviour,
Knowledge or skills that are valued, recognized
and sometimes rewarded by the organization
(CIPD, 2008). They may be considered as the
language of ‘performance’ in any organisation.
In most corporate organizational contexts,
the objective behind creating a Framework is
to identify the generic and activities related
Competencies (and associated levels of compli-
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International Journal of Human Capital and Information Technology Professionals, 2(1), 22-36, January-March 2011 25
ance) that truly have impact in business results
(Draganidis & Mentzas, 2006).
The most extended industry methodology
relies in creating complex internal Work job
analysis aimed at the identification of ‘standard’
corporate job profiles (Pereda & Berrocal,
2001). Job description includes objectives,
evaluation criteria, organizational hierarchy and
level of autonomy (Pereda & Berrocal, 2001).
Following steps are considered:
1.
2.
3.
4.
5.
Process Planning and preparation. Corporate and management implication.
Employee’s dissemination, seeking active
process support from labour workforce.
Generic common corporate Competency
definition, according to identified mission,
values and strategic options.
Job profiles definition, from previous job
descriptions and required consolidating
efforts, each profile is defined in terms of
required competencies and performance
level, thus finalizing the Competency
dictionary.
Framework validation, usually in a limited
functional segment of corporate organizational scope.
This complex and highly cost process
involves too many persons (both internal and
external consultants) and has also the disadvantage that in changing market or business
scenarios, the picture translated to Competencies may become quickly outdated due to
change in corporate priorities towards business
response. Apart from previous analysis, it may
also be interesting to consider the outcome from
CIPD’ s research concerning most Frameworks,
which shows that the following Competencies
are always found in most of them:
•
•
•
•
•
•
Communication skills
People management
Team skills
Customer service skills
Results-orientation
Problem-solving.
Other common external type of methodological approach to creating Frameworks relies
in working with internal and external expert
reviews and statistically based analysis of information (Dawes & Helbig, 2006), (Ravarini
et al., 2001). The main problem with these types
of approaches relies on people. Many conflicts
arise when HR tries to mix internal view and
external opinions from collected information,
thus agraviating the conceptual ambiguity
problem identified in previous chapter.
Mixed combinations of two previous approaches are sometimes considered, as the one
proposed by (Yang, Wu, Shu, &Yang, 2006) in
its POCCI (‘Process Oriented Core Competency
Identification’) Model. Although results may
be satisfactory, the authors recognize that the
process is very complex to develop, as well as
highly consumer of time and organizational’
s effort.
comPEtEncy frAmEworKS
dIffErEntIAl ASPEctS
Differences are usually related to the framework content itself. Originally they consisted
mainly of behavioural elements (CIPD, 2008)
and later on they have become broader and
more ambitious in scope, incorporating technical competencies. In some cases (Abel, 2006)
they just outline competency definitions but
don’t include relevant information concerning
compliance levels and required employee’s
activity-based expected behaviour associated
to each level. In some scenarios the problem is
the opposite, too many detailed content makes
associated HR support processes bureaucratic
and time consuming, thus generating reluctant
employee attitudes affecting efficiency.
Apart from the various aspects identified so
far in this paper, we believe that there is also a
missing aspect in all known Frameworks which
may be essential to succeed in any large scale
transformation process such as CM, particularly
in large size, technology driven organization:
the deployment definition strategy. Having a
just a good Competency definition model is not
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26 International Journal of Human Capital and Information Technology Professionals, 2(1), 22-36, January-March 2011
enough to successfully approach a significant
transformation initiative in HR. What is missing is a strategy definition methodology that
includes at least:
tion from the particular Business activities
Management Model, here the Systems Domain.
It has two major advantages compared to other
approaches:
•
1.
•
Guide to analyze and diagnose current
organizational situation (both in HR processes development and System support.
Definition and evaluation of current organizational technology scenarios.
A buSInESS AlIgnmEnt
orIEntEd APProAch: from
SyStEmS mAnAgEmEnt
to comPEtEncy
modEl dEfInItIon
The innovative Competency Model approach
suggested in this paper has been produced as
a response to many organizations willingness
to speed up CM supported transformation
processes in a straight, business aligned manner and easy to implement for application
in any HR management competency based
process such as e-recruitment, e-Learning,
Performance management or any other. As in
any real business scenario, we have selected
a particular functional domain, common and
always present in any large size organizations:
The IT & Systems management domain. The
relevance of this domain relies in the actual fact
that Computing and IT related activities are
now recognised as one of the most significant
forces that are reshaping business development
in the new economy (Stiroh, 2000). Far from
early predictions that IT management related
activities could loose business influence and
even easily be externalised (Dearden, 1987),
current e-business organizational transformation shows just the opposite effect, particularly
in large size organizations (Reich & Nelson,
2003) in which CIO´ s are required to develop
new organizational skills, management competencies and ability to cope with on going
technology and IT architecture evolution.
The original idea consists in shaping the
Framework from extracted relevant informa-
2.
All organizational activity domains are
managed following simple or complex
management models. Even in low maturity developed organizations, managers
define priorities, objectives, sometimes
assigning performance indicators that are
periodically reviewed with employees. It
is easier and cheaper to work with existent
information then initiating new dedicated
HR consultancy projects.
Shaping the Framework in accordance to
the management model will ensure a permanent alignment between the Competencies defined and the business objectives,
which are usually ‘incorporated’ in the
management performance and objectives
indicators.
The Framework (as showed in Figure 1)
has two major components within its intended
scope: the first one is the Competency model
definition built following adequate performance
business indicators linked to the specific business management model (IT& Systems in our
case), rather than using the classical job work
assignment’s definition analysis and subsequent
job profiles required for the organization. The
second component is the Implementation
Technical Strategy definition, covering both
Processes and associated System support applications reengineering strategy, in which
the methodological approach has been the
following one:
•
•
•
Building a ‘characterization’ of all HR
business processes, identifying competencies-related activities and process
interfaces.
Current’s Processes & System’s status
analysis
Identification of HR Business Technology
scenarios
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International Journal of Human Capital and Information Technology Professionals, 2(1), 22-36, January-March 2011 27
Figure 1. Competency framework definition scope proposal for large size organizations
•
Evaluation and strategic selection of Organizational preferred scenario
The Activity Management Model for IT
& Systems showed above represents the basis
of our Framework as a reference guide to
match against the particular model (functional,
service-oriented, etc) used internally in each
organization and it has been structured around
3 macro-processes:
•
•
•
Innovation: it includes all System’s activities driven to generate Business advantages
from opportunities generated by technology innovation. System’s Planning, Applications and Systems Architecture or
Business alignment IT relationships are
typical innovation related activities.
Change Management: it covers any
Customer’s development or maintenance
support (Business Units as Marketing,
Customer Sales or Finances) required
applications.
Infrastructure Support: includes all Data
Processing Centers operation and management responsibilities, desktop and network
service or help desk support.
This macro-processes view of organizational Systems activity is complemented and
matched with a 4 views or responsibility levels,
thus facilitating a ‘visual’ representation for employees objectives assignments, in accordance
to adequate HR management maturity level,
usually in 1-INITIAL or 2_MANAGED from
P-CMM (Curtis, 2001):
The Financial view: measures Business
value generated to its customers (internal Business Units) from Systems management. It’s the
highest level, due to the fact that the ‘common
language’ ensuring alignment between Systems and Business Units requires considering
IT products or services as ‘technology related
assets’, in away that there in common understanding to evaluate, determine priorities and
decide how and when introduce changes in them.
The Client view: relates to the customer
orientation in any Systems management model
in place. It should incorporate indicators that are
valued by Business Units (quality of IT services,
deployment time measures, etc.).
The Process view: used to evaluate whether
IT internal processes respond to Business Units
service expectations (applications quality, # of
maintenance actions in active services, etc.).
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28 International Journal of Human Capital and Information Technology Professionals, 2(1), 22-36, January-March 2011
The Resources view: is measured in terms
of results from Human Capital or Infrastructure
management actions performed to achieve
results (Training, etc.).
With this 2-dimensions model, managers
can assign different kind of metrics linked to
key performance indicators viewed in this
model and potentially usable in evaluating
employee’s performance. Systems Management
modeling and related CIO’s usage of advanced
management tools such as Balanced Score
Card incorporating key performance indicators
linked to IT business support activities, is now
widespread in large Corporations, but never,
so far, have been ‘linked’ or ‘used’ to create
Competency frameworks.
In our model we identified 8 Objectives,
which could match in any job assignment scenario within IT, presented in Figure 2.
The proposed way to proceed from System’s Management information to Competencies selection is explained with a practical
example in which an organization assigns
Competencies to the CIO in the next section.
An ExAmPlE of thE
dynAmIc comPEtEncIES
ASSIgnmEnt APProAch
The Competency model selected for application
to employees working in any IT or System’s
support activities is based on a 4 Level scale
(level 0 meaning that the Competency is not
required, A trough D are Levels matched to Job
Competency assignment) associated to generic
and specific kind of Competencies (Table 1
and Table 2):
The Competency assignment process is
performed in two consecutive phases:
•
In Phase 1, we identify in which of the
4-cuadrant picture of the ‘Credibility –
Business perception of dependency on
Information’ Matrix. The 2 variables in this
matrix reflects at any given time, both the
Systems and Business alignment level in
the organization plus the relative measure-
ment of value generated to business objectives as perceived by IT & Systems Clients
(internal Business Units). Each quadrant
contains the ‘priority’ Competencies that all
Systems employees should work on during
next HR management period (Learning to
improve Competency level, Performance
management, evaluation, variable compensation, etc) (Figure 3):
•
In Phase 2, we complete the assignment
of Phase 1 with those Competencies that
are directly linked to the key performance
indicators or similar management information that best match the individual employee current responsibilities, using the
reference management model indicated
earlier: we ‘fit’ the employee in the most
significant macro-process of the model and
his hierarchy level of responsibility in the
System’s department (Figure 4):
Examples of application:
a)
Organization’s CIO, where the System’s
activities are located in quadrant B-A:
i. Priority Competencies: INI, IDO,
CNG
ii. System’s Management associated
Competencies: INN, ORL, PLO, LID,
CNG, PGF
iii. Final CIO’s assigned Competencies:
INI, IDO, INN, ORL, CNG, PGF(Final
recommended number of Competencies in this organization is 6. This
may be higher, including the ones
discarded (PLO, LID) when combining competencies.
b) CPD Operation´ s manager, and the System’s activities are located in quadrant A-A:
i. Priority Competencies: OAC, COM,
CNG
ii. System’s Management associated
Competencies: COM, NEG, OAC,
LID, PRO, PGF
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International Journal of Human Capital and Information Technology Professionals, 2(1), 22-36, January-March 2011 29
Figure 2. Overall 2-dimension systems management reference model
iii. Final CIO’ s assigned Competencies:
OAC, COM, NEG, LID, CNG, PRO
hrmS tEchnIcAl
dEPloymEnt StrAtEgy:
SElEctIng A buSInESS
drIVEn ScEnArIo
Any significant corporate HRMS technical
deployment strategy such as any one related
to Competency based management, requires a
methodological approach to ensure long term
project success. We outline hereafter the most
significant steps suggested for this purpose in
this contribution:
•
HR Processes Characterization: the organization requires a detailed review of final
process status review against current situation, including all major business processes
to consider, specifying basic activities and
interfaces, with particular focus into the
most important transformation effects from
competencies based practices over current
corporate-wide HR processes.
•
•
•
Final processes objectives from a Systems
point of view: the idea is to establish the
business limits and technical challenges in
terms of System & Applications Architecture to ensure adequate evolution to final
scenarios.
Identify possible Technology business
driven deployment scenarios to consider
by the organization.
Evaluate and select the corporate Technology business driven scenario and define the
roadmap transition strategy from current
to desired scenario.
The most challenging and innovative part
of the previously outlined approach relies in
the identification of alternatives as possible
HRMS Technology business driven deployment
scenarios to consider by the organization, before
considering any technology or application evolution option . The technical HRMS architecture
must be directly aligned with the kind of process
management model that HR business managers
intend to deploy throughout the organization.
Different Organizations choose management
models basically in terms of levels of desired
centralization or distributed operations sce-
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30 International Journal of Human Capital and Information Technology Professionals, 2(1), 22-36, January-March 2011
Table 1. Generic set of competencies
Code
Competency
A
B
C
D
E
OAC
Customer Orientation
4
3
4
1
1
TRE
Team Work
4
4
3
3
3
ORL
Achievement orientation
4
4
4
1
1
INI
Initiative
4
2
2
1
1
IDO
Organizational alignment
3
4
3
0
0
ANS
Analytic Thinking and synthesis capabilities
4
3
3
2
2
LID
Leadership
4
3
2
0
0
COM
Communication Abilities
3
2
1
0
0
INN
Innovation
4
3
2
1
1
PLO
Planning & Organization
4
2
1
1
0
EXP
Expertise
3
3
3
2
2
TDC
Decision taking attitude
3
2
1
0
0
NEG
Negotiation
3
4
1
0
0
Table 2. Specific set of competencies
Code
Competency
A
B
C
D
E
PGF
Financial Mngt. & Planning
3
3
1
0
0
CNG
Business Knowledge
4
3
2
1
0
ART
Technical Knowl.: Appl & Systems Arch.
3
4
2
2
1
ISW
Technical Knowl.: Software Engineering
3
4
2
2
1
PYO
Technical Knowl.: CPD Operations
3
4
2
2
1
narios, sometimes even in federated types of
architectures in which some shared functions
might serve to all corporate Units or Companies
and others are handled in an independent manner. The technically aligned approach must fit
into the required management model, and in HR
business, organizations choose from a range of
five possible scenarios to consider by any large
size organization, in which Business Units may
coexist under Corporate wide department units
or incorporating Product or Services independent companies within the group, having local
market oriented operations or multinational type
of operations in various countries:
•
•
Applications Independency: typical in
largely decentralized organizations or starting scenario after merging or acquisitions
operations. Units and group companies
keep HR process and application autonomy
but it may have some disadvantages, such
as the lack of a single corporate wide HR
directory, added difficulties in establishing
corporate wide HR practices and increasing Systems related synergies difficulties
in managing infrastructure.
Corporate shared HR Directory: including employees administrative related
data base information as well as corporate
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International Journal of Human Capital and Information Technology Professionals, 2(1), 22-36, January-March 2011 31
Figure 3. Priority competencies assignment and ‘credibility-dependency’ status
•
•
organizational information. This option is
a sort of minimal shared HR information
option, maintaining autonomy in Units and
Companies within the Group, although
does not facilitate the deployment of corporate wide HR initiatives.
Corporate Shared HR Administration: It
represents a step forward from previous scenario into a single Administration System,
integrating Payroll, Inventory, Organization Management and HR Planning. This
shows the minimum integrating scenario
to introduce Shared Services options. Requires interfaces to each Company’s HR
management application platform.
Corporate Shared HR Management:
Integrates all HRMS processes in a single
System, thus facilitating the deployment of
corporate wide transformation initiatives
such as Competency based practices. Generates corporate wide synergies in Systems
management and technology evolution.
•
Corporate Shared Single System: This is
the option for those organizations willing
to fully integrate all HR Administration
and Management processes into a single
system, thus maximizing the benefits of
generating common HR corporate management culture and practices, sharing
infrastructure, Portals, etc.
Final evaluation of preferred scenario
should be made considering both the interests
and view from HR and Systems managers
within the organization, complemented by a
detailed Cost /Benefits analysis of each option
when applied to the particular organization,
considering the migration consequences from
current to desired final scenario.
Only after previous HR business and architectural considerations is when organizations
are ready to evaluate SW market applications or
in house developments to consider in corporate
transformation initiatives such as Competency
based management.
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32 International Journal of Human Capital and Information Technology Professionals, 2(1), 22-36, January-March 2011
Figure 4. Competencies assignment according to management indicators
hrmS tEchnIcAl
dEPloymEnt StrAtEgy:
SElEctIng thE rIght
APPlIcAtIon
Selecting the right or the best suited application to build a new Competency driven HRMS
organizational strategy is the final step considered within the Framework’s scope, right after
selecting the adequate technology scenario as
indicated in the previous step.
Current HRMS application market is considered by most Software analysts as a fairly mature market. Although the basic Administrative,
transaction oriented applications have a limited
growth potential (probably Outsourcing hosted
type of services might be the exception to the
rule), the strategic, talent management type of
applications, driven primarily by Competency
Management, seems to be on the high.
Before the E-Business transformation
processes entered into all major IT large organization’s priorities, the specific Software
HR Businesses market consisted in a vast,
non integrated application fragmented Market.
Companies had options over hundreds (if not
thousands) of different, HR Administration or
Management solutions (Payroll, Learning, Performance Management, Work Force Planning
& Analytics, Competency Management,…).
Some were global market - oriented, others
vertical cross-industry oriented, most of them
local, country driven solutions, aimed to satisfy
specific, single market demands.
In this context, Competency Management
was not an exception to the rule, where early
implementations where typically stand-alone
or linked to other related HR type of solution,
such as Learning or Performance Management,
incorporating new technology paradigms as the
semantic Learning organizations (Sicilia, 2005).
But at present, the above scenario is
moving forward very rapidly, in a way that
the e-business organizational transformation
is driving Industry from the previously stated
Software application fragmented scenario to an
extremely concentrated one. The vast majority
of today’s large Organizations (65% of our largest corporations) in which CM has the largest
deployment potential, are automating HR (or
planning to do so) within the scope of one, out of
the two most successful global, integrated ERP
suits – SAP or Oracle (building a comprehensive
architecture around the PeopleSoft platform,
world leading integrated HRMS solution in the
market, acquired in 2005).
Current market research (Draganidis &
Mentzas, 2006) shows that Competency based
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International Journal of Human Capital and Information Technology Professionals, 2(1), 22-36, January-March 2011 33
Management is driving evolution trends in HR
management processes, particularly within
the scope of most large size organizations. A
significant indicator for this trend is the publication of the People-Capability Maturity Model,
or People-CMM by the Software Engineering
Institute at Carnegie Mellon (USA). PeopleCMM (Curtis, 2001) is a best practice reference
to implement state of the art HR management
strategies, where CM practices are essential
particularly when organizations set up business
objectives associated to advances in the 3 highest
CMM defined maturity levels. This CM driven
related Software applications market demand
coming from large size organizations, makes
Competency management the most relevant
business driver boosting the HRMS market
growth in the years to come.
In this evolutionary context, Information
System’s Solutions Vendors that automate
CM processes, typically fall in one of the four
Product families indicated hereafter:
•
•
Large Integrated ERP Suites: Those
Vendors dominate the high end HRMS
market, and are also competitive in the
SME Markets. Organizations select these
solutions to typically automate various
corporate business processes (in areas such
as Financials, CRM, HC Management,
E-Procurement, etc). Even assuming that
these vendors do not always deliver the best
solution for any given individual process,
their value proposition, is based upon the
overall process Integration benefit for the
organization, providing proven and reliable
comprehensive process automation solutions. SAP, Oracle, or Lawson Software
are typical application products within
this category.
SME Integrated ERP Suites: they provide
similar functional scope as the previous
Suites, usually delivering simpler parametrization options, much faster to deploy,
tailored to specific SME type of organizations. Northgate Information Solutions or
the Microsoft Business Solutions (Axapta,
•
•
Navision) are typical products fitting in
this category.
Standalone E-HRMS: Both large and
SME driven solutions from Vendors that
are exclusively dedicated to Payroll &
HRMS business, not providing support for
any other corporate processes (as Supply
Chain Management or Financials, …etc).
Kronos, Meta4 (particularly in Spain) or
Ultimate Software is considered typical
products in this category.
Standalone CM Solutions: They just
automate Competency based Management
processes, sometimes in combination with
Performance Management or eventually
providing support for other related CM process, in a non-comprehensive, integrated
way. Mindsolve or GeoLearning offerings
are typical solutions within this category.
The best suited organizational application is
therefore selected after professional evaluation
of latest versions of identified or preferred solutions, combining Company / Market / Product
required Functionality / Product Architecture
information, using if possible, financial &
technology expert analyst’s information .
Final step in the methodology is about
establishing the evolutionary strategy from
current situation to the final selected one. The
resulting roadmap must carefully consider the
detailed gap analysis between current and final
scenarios both in terms of business processes and
System & Software application, in a way that a
detailed Project Plan can be finally established
and presented for final organizational approval.
rESultS
This new dynamic oriented Competency
Framework approach has been used in various large size organizations, two of them in a
multinational scope environment.
About half of the organizations that have
used our proposed dynamic Competency assignment approach already had previous experience in the use of classical job profile oriented
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34 International Journal of Human Capital and Information Technology Professionals, 2(1), 22-36, January-March 2011
approaches implementing limited scope CM
applications. The most relevant conclusions
extracted from all participants in the process
are summarized in Table 3.
An unexpected result extracted from these
answers is that the highest valued effect from
participants in the process is the improvement
in internal communications among employees,
managers and organization’s HR professionals.
Apart from the previous statement, and
focussing only in the HR and Systems Management’s opinion (3 out of 4 of them believe
that the management model based approach is
“Much more” or “More” efficient then previously known approaches and 65% think that
the methodology can easily be translated to
any other corporate wide activity domain. This
results concludes that this proposed dynamic
approach to Competency Model definitions may
be an alternative methodology to the classical
ones (Corporate Job profiles definition, professionally based market and experts surveys, etc.).
The proposal suggests a Competency definition
process extracting information and performance
indicators directly from the specific activity
Management Model, thus ensuring a permanent
dynamic alignment between defined Competencies and Business requirements and objectives.
•
•
•
•
•
concluSIonS
The overall main objective associated to this
research work was to provide an innovative approach to define Competency Frameworks that
could efficiently be used by large size type of
organizations willing to transform employee’s
management processes using Competency
based models. The selected activity domain
to evaluate this proposal results is the IT &
Systems Management domain and the methodology used has been defined as a modified
version of the (Draganidis & Mentzas, 2006)
proposal, introducing changes in the way the
Competency model is constructed and incorporating in it’s scope the Technical deployment
strategy definition. The methodological phases
followed were:
Detailed activity Planning: including ‘state
of the art’ analysis about application of
the Competency paradigm and industry
based proposals and market application
evolution trends.
Definition of a Reference Management
Model for IT & Systems activities domain, with recommendations about key
performance indicators and associated
performance metrics in this field.
Definition and selection of the required, dynamically business oriented Competency
Model, as explained in previous parts of
this paper.
Technical Deployment Strategy Definition for Large size type of organizations,
including:
◦ A generic HRM Processes characterization, very much focussed to
facilitate the identification of areas
in which Competency management
affects HR related activities.
◦ Strategy definition method to transform management processes into
Competency based practices and
selection of best suited application
Software implementation option.
Final validation of the proposed Framework, introducing new relevant Competency based management practices.
The final conclusions obtained from this
research are summarized as follows:
•
About the requirement to establish Competency Frameworks in large size organizations including the technical deployment
strategy definition associated to HR
Processes & Software applications in its
functional scope: no major, comprehensive HR transformation process as the one
represented by Competency based management, can be successfully undertaken if
the technical deployment strategy is not
taken into consideration at early stages of
the transformation process. When included
within the Competency Framework, we
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International Journal of Human Capital and Information Technology Professionals, 2(1), 22-36, January-March 2011 35
Table 3. Employees and HR’s opinion on Mngt. model competency based approach organizational effect
•
•
Very High
High
Low
Negative
1. Employees perception on organization’s
interest in people’s career development
16.07%
42.86%
21.43%
16.07%
2. Effect on Business results
14.29%
39.29%
41.07%
5.36%
3. Employees professional recognition
32.14%
46.43%
16.07%
5.36%
4. Employability
17.86%
44.64%
25%
12.50%
5. Better internal communication
37.50%
48.21%
10.71%
3.57%
6. Others
21.43%
37.50%
30.36%
10.71%
23.26%
43.16%
24.11%
8.04%
ensure a reference roadmap definition
to progress in a well defined direction in
terms of HR management maturity steps
definition path.
About the way Competency Model definitions are established: the practical results
obtained after field validation in competitive large size organizations allows us to
conclude that the proposed dynamic approach to Competency Model definitions
may be an alternative methodology to
the classical ones (Corporate Job profiles
definition, professionally based market
and experts surveys, etc.). The proposal
suggests a Competency definition process
extracting information and performance
indicators directly from the specific activity Management Model, thus ensuring
a permanent dynamic alignment between
defined Competencies and Business requirements and objectives.
About HRMS Application Market evolution: large size organizations trend is to
rely on general purpose integrated type
of ERP, even in scenarios where just HR
management Administration or Management processes are the business focus,
although HR specific solutions constitute
an extended installed base in local markets
such as in Spain, while the ‘made to measure’ on in-house applications are almost
non existent in this market.
•
About the acceptance of the proposed
method to deploy HRM solutions in large
size organizations: around 80% of professionals involved in evaluation of the
proposed methodology in real business
scenarios have expressed satisfaction with
the suggested deployment process, with
particular interest in the initial characterization of all business processes and the
possibility of evaluating long term HRM
strategy in relation to the five proposed
business scenarios.
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Alfonso Urquiza is Professor at the UFV Engineering and Business Schools, with more than 25
years professional experience in IT & Communications Business engineering and management,
recognized HRMS business and technology expert.
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is prohibited.
International Journal of Human Capital and Information Technology Professionals, 2(1), 37-51, January-March 2011 37
Project managers’
competence Identiication
Heli Aramo-Immonen, Tampere University of Technology, Finland
Andrea Bikfalvi, University of Girona, Spain
Núria Mancebo, University of Girona, Spain
Hannu Vanharanta, Tampere University of Technology, Finland
AbStrAct
The objective of this article is to help align higher education of future project managers to the contemporary
requirements of global project business. The perspective is project managers’ competencies in knowledge
intensive industry, such as in IT branch. In this paper, it is considered that a holistic view of competence selfevaluation helps to assess the current intentional change. The system introduced supports decision making by
measuring and capturing the actual drivers designed speciically for the role of project manager. Generalizing
the competence identiication process appears to be more constructive than detailing about competence content itself. This study brings valuable and novel empirical data using a sample of students acting as project
managers in Spain and a sample of experienced project managers from Finland. A number of possible future
studies using the same experimental set up are apparent.
Keywords:
Competence Evaluation, Higher Education, Intentional Change, Project-Based Business,
Project Management
IntroductIon
Competences and consequently competence
evaluation has gradually become a strategic
issue in areas of academic research, business
and education. Despite the conceptual ambiguity the competence approach is widely adopted.
The competence framework literature provides
an integrative system for human resource management. For example, competences are often
conceptualized as the underlying characteristics of the individual, and as a combination of
DOI: 10.4018/jhcitp.2011010103
skills, knowledge and attitudes. In this paper
competences refer to traits, knowledge, skills,
experience and values that an individual needs
to accomplish his or her tasks. Competence
assessment becomes a significant instrument
for predicting work-role performance, and accordingly a core element for human resource
management practices.
Competences are linked to individual and
organizational performance, or in a more specific level as it is the training outcome. McClelland (1987) suggested that competence ought to
become the basis for more effectively predicting
individual performance in organizations. The
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38 International Journal of Human Capital and Information Technology Professionals, 2(1), 37-51, January-March 2011
awareness of the enduring capabilities and
dispositions and identify the core component
that interacts with the ideal self. This ideal self
becomes the driver of intentional change.
However, competences are subject to dynamic change as a result of motivation, intervention, tacit and/or explicit education and learning
in a given time frame. Both at individual and
organizational level learning plans represent a
formal tool in competence development. The
power of a learning plan enhances the ability to
get results through a greater understanding of
ones’ own and others’ competences and emotions. Moreover the Intentional Change model
(Boyatzis & Akrivou, 2006) can help people to
engage in personal transformation successfully.
Another field experimenting major transformations is Higher Education, one of the
main pillars of any national/regional innovation system and one of the major suppliers of
professionals working in the business field.
Building a strong strategic bridge between
academia and business is in the interest of any
nation and universities are main actors in the
convergence of Europe towards the knowledge
economy (Commission of the European Communities, 2003).
Although competences seem to be linked
primordially to business environments, universities in their way towards the Bologna process
want to align to competence development.
The Bologna process started in 1998 when the
education ministers of Germany, France, Italy
and the United Kingdom signed the Sorbonne
Declaration concerning the harmonization of
European higher education degree systems.
The object of the Bologna Declaration is to
create a common European Higher Education
Area by 2010 with a view to improving the
competitiveness and attraction of European
higher education in relation to other continents
(The Bologna Declaration, 1999). The modern
educational system complements traditional
teaching/learning models with competence
development. However, the competence topic
in universities is still in its infancy compared to
the business sector. Its incipient nature is given
by the fact that most higher education institu-
tions have undergone the following phases:
definition, diffusion on their importance and
creating awareness among the different communities -students, educators, managers-, linking
subjects and competences, among others. One
major challenge is competence evaluation and
development as well as an in-depth integration
of competences among the existing educational
models (Bikfalvi, Pagès, Kantola, Marquès,
Gou, & Mancebo Fernàndez, 2007).
Professional profile of technical competencies such as management of requirements,
design, construction, testing, maintenance,
configuration, quality, engineering and processes in software engineering projects has
been introduced (Colomo-Palacois, Tovar-Caro,
Carsía-Crespo, & Goméz-Berbís, 2010). To accomplish project managers’ competence profile
this article introduces analysis of human aspects
such as self-knowledge, self-control, cognitive
capability, motivating oneself, empathy and
social skills (Bikfalvi, Mancebo, & AramoImmonen, 2009; Liikamaa, 2006; Spencer &
Spencer, 1993; Zwell, 2000; Boyatzis, 1982;
Goleman, 1998). Even though Software-based
Project Management (e.g., SPMM; Salahelding
et al., 2010) methodologies provide support for
project management processes in organization,
there is always the human intention behind
the success. Competences are highly contextdependent. Opting for a project management
based competence model seems to easily fit in
the complex academic setting, where students
are characterized by high diversity in terms of
maturity, objectives, motivation (Suominen et
al., 2008). On the other hand, indifferently of
their academic background, the project management way of working is frequently habitual in
any business sector in which they end up as
professionals. Most often it is the business sector appearing as a first scenario where students
meet competences, either when applying for a
job, or once working with the aim of detecting
training necessities.
Competence evaluation, in general, and
in project management, in particular, has received reduced attention in both theory and
practice. Therefore, the main purpose of this
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International Journal of Human Capital and Information Technology Professionals, 2(1), 37-51, January-March 2011 39
study is to investigate and show the results of
a self-assessment of students acting as project
managers in academic settings compared to
experienced project managers in industry
settings. In the conceptual part of this article
project management, competence analysis and
intentional change are reviewed. Secondly the
method is introduced and the research processes
is described. Finally the empirical results are
presented.
ProjEct mAnAgEmEnt
The Project Management Institute (PMI)
provides us with a materialistic definition of
a project. According to the Project Management Body of Knowledge (PMI, 2000), a
project is a temporary endeavor to create a
unique product or service. From the project
learning angle in the concept of a project, the
cognitive perspective has to be included (Bredillet, 2008): The project is human capital and
financial resources organized in a novel way
to undertake a unique scope of work within
time and cost constraints, achieving quantitative and qualitative objectives (Turner, 1999).
Here is referred to this latter definition which
includes a knowledge management perspective
to project management. According to Global
Industry Classification Standard (GICS) the
IT industry includes software production and
services, technology hardware and equipment
production, and telecommunication services.
Research and development as well as businesses
in IT domain are often project based.
Theoretical approximation of the concept
of project management comes from the wide
stream of literature (cf., Lampell, 2001; Levine,
2005; Lytras & Pouloudi, 2003; Turner, 2003;
Koskinen & Pihlanto, 2008; Kähkönen, Kazi, &
Rekola, 2009). Project outcomes are milestones
in a knowledge management activity and the
various deliverables are knowledge exploitation
in meaningful formats. Communication and
learning play an important role if we take into
account the authors’ description that project
deliverables consist of knowledge artefacts
integration through a social communication
process (Lytras & Pouloudi, 2003). Projects are
characteristic in knowledge-intensive organizations, including universities, academia, research
groups, R&D departments, business where a
group of people having different background,
education, experience and skills co-work on the
achievement of certain goals within a limited
period of time.
The project manager is the key to project
success (Cleland, 1984; Kezsbom, Schilling,
& Edward, 1989; Nicholas, 1994) and project
management is an important part of an industrial
company’s success. According to Artto and Wikström (2005), project business is defined as the
part of business that relates directly or indirectly
to projects, with the purpose of achieving the
objectives of a firm or several firms. Industrial
projects often large-scale, complex projects
delivered through various partnerships, are
affecting both public and private stakeholders
(van Marrewijk et al., 2008). Managing these
large national and international projects can
pose many demanding tasks for project managers (Marrewijk van, Clegg, Pitsis, & Veenwijk,
2008; Sweis, Abu Hammad, & Shboul, 2008;
Flyvbjerg, Bruzelius, & Rothengatter, 2003;
Aramo-Immonen & Porkka, 2009). The contemporary networked economy has pushed businesses more and more towards project-based
performance. Therefore, project management
competencies do have impact on the global
society, economy and well-being.
comPEtEncE EVAluAtIon
Competences are defined as behaviour models
(Roberts, 1997), as hidden characteristics of
personality with an effect on the performance
at work (Spencer & Spencer, 1993), as traits
or features of human being (Zwell, 2000) and
as features related to effective working performance (Boyatzis, 1982).
Based on these definitions the application
(named Cycloid) utilized in this research focuses
on the assessment of the most essential and
critical professional competencies of project
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40 International Journal of Human Capital and Information Technology Professionals, 2(1), 37-51, January-March 2011
managers (Liikamaa, Koskinen, & Vanharanta,
2003). The application evaluates the project
managers’ generic and specific competencies
through the process of self-evaluation. The system was built based on the Evolute architecture
(Kantola, Vanharanta, & Karwowski, 2005).
It aims to illustrate the gap between project
managers’ current state and personal vision, i.e.
the creative tension (Senge, 1994), within the
context of a specific competence. This gap helps
both the project manager and the management
to evaluate the needs for targeted training and
development. The results can be used to direct
personnel development and training efforts to
areas where they are most needed.
Project business could be considered as a
research field, when broadening the perspective
of the project–centric point of view to an organizational view. This broadening enhances the role
of projects managers because of the addressing
the organization and enhancing the managerial
activities that allows managing multiple projects
for the firm business purposes (Pellegrinelli,
Partington, Hemingway, Mohdzain, & Shah,
2007; Levine, 2005; Aramo-Immonen, 2009).
When having in attention competences for
project management some issues are relevant.
On the one hand, learning, capabilities and
competencies are strongly linked. According to
some authors learning and knowledge sharing
appear as the most important capability that a
project-based firm should have (Hawk & Artto,
1999; Prencipe & Tell, 2001; Ruuska, 2005).
On the other hand, characteristics of project
managers as well as project management in
relation to performance are discussed. It is
interesting to know more about what are the
characteristics of project managers who appear
to be able to handle complexity at pre-defined
levels, and are these characteristics imitable?
The challenge for the academic and practitioner
communities is to possess a credible suite of
tools and techniques, well developed through
research such as that outlined above, which
are based on good evidence and that support
practitioners in improving performance in
their own environments (Whitty & Maylor,
1990). Performance evaluation takes into account different items acting as determinants
for such. According to Isik, Arditi, Dikmen,
and Birgonul (2009) it is the same organization
and its characteristics having effect on project
management comptencies.
The assessment of the effects of human
resource management on project effectiveness
shows contradictory results and has evolved
from a technical perspective to a behavioral
perspective. As an example, in the evaluation of
success of project management the satisfaction
of the project team, particularly in terms of interest, challenge, and professional development is a
relevant criterion (Belout, 1998). Project, teams
and their management have different styles.
The requisite variety of project manager’s
competences and the managerial complexity
of project are in relation (Blackburn, 2002;
Aladwani, 2002; International Project Management Association, 2009). In other words
more complex and complicated the project
is more competencies from project manager
are required. In IT industry there is a variety
of project governance methods, which are requiring different skills and competencies from
project managers. The ‘Water fall’ model is close
to traditional industrial investment projects
steering style. Rational Unified Process (RUP)
is an iterative software development process
framework, typically requiring skills needed
in matrix organization. SCRUM is an iterative
incremental framework for managing complex
work (such as new product development) commonly used with agile software development.
Although it was intended for management of
software development projects, it can be used
to run software maintenance teams, or as a general project/program management approach. In
this governance style the project management
responsibility is changed from a person to another during the project phases (sprints). This
kind of approach requires project management
competencies as a meta-competence for each
project team member.
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International Journal of Human Capital and Information Technology Professionals, 2(1), 37-51, January-March 2011 41
IntEntIonAl chAngE
Sustainable behavioral change is intentional
(Boyatzis, 1999; Boyatzis, 2001; Goleman,
Boyatzis, & McKee, 2002; Kolb, Winter, &
Berlew, 1968; Boyatzis & Kolb, 1969). It is
important to note that often an intentional
change process must begin with a person wanting to change. This desire may not be in their
consciousness or even within the scope of their
self-awareness. Wake-up calls, or moments and
events that awaken the person to the need for
consideration of a change, may be required to
bring the person to the process of desired, intentional change (Boyatzis et al., 2002). Before
we get into the details, let us step back and ask
why we believe this is a sound theory of change.
The five discoveries of intentional change
theory (ICT) bring us to the next feature of ICT
as a complex system (Boyatzis, 1999; Boyatzis,
2001). The change process actually involves a
sequence of discontinuities, called discoveries,
which function as an iterative cycle in producing
the sustainable change at the individual level.
These are:
1.
2.
3.
4.
5.
The ideal self and a personal vision;
The real self and its comparison to the
ideal self resulting in an assessment of
one’s strengths and weaknesses, in a sense
a personal balance sheet;
A learning agenda and plan;
Experimentation and practice with the new
behaviour, thoughts, feelings, or perceptions; and
Trusting, or resonant relationships that
enable a person to experience and process
each discovery in the process.
The first discovery: catching your dreams,
engaging your passion. The first discontinuity
and potential starting point for the process of
intentional change is the discovery of who you
want to be. Our ideal self is an image of the
person we want to be. It appears to have three
major components that drive the development
of this image of the ideal self:
1.
2.
3.
An image of a desired future;
Hope that one can attain it; and
Aspects of one’s core identity, which includes enduring strengths, on which builds
for this desired future.”
rESEArch ProjEct
The first objective was the assessment of project
managers’ generic and specific competencies
through the process of self-evaluation. Propose
a measure for the intentional change and their
drivers that may help in this endeavour since
it focuses on the assessment of the most essential and critical professional competencies
for project managers.
The second objective was the analysis, in
an academic context, relating the deployment
of social and personal competences with specifics indicators of students’ (at technical studies)
performance. Still, the main and most generic
application is improving teaching quality in
order to configure a student-centered teaching/
learning, where students are target of not just
scientific knowledge and career subject, but also
competences, having a high demand generated
by employers.
The third objective was the analysis in business context of experienced project managers.
In order to improve knowledge of competence
demands in business settings and in order to
compare the result with young student’s result.
The application used, evaluates the
competences of the work role of the project
manager by means of 120 statements related to
the individuals’ every day work. It requests the
self-evaluation of the current competence level
and the target level desired by the respondent,
identifying the possible creative tension. The
responses are given on a fuzzy scale guided by
standard linguistic labels (e.g., always, often,
seldom, never) (Kantola, 2005). The results can
be visualized in detail at the level of 30 competences, grouped in 6 competence groups than
can be further classified as personal or social
main groups of competences (see Figure 1).
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42 International Journal of Human Capital and Information Technology Professionals, 2(1), 37-51, January-March 2011
The proposed evaluation was used in two
different settings described below. Firstly
during 2007 an evaluation was conducted in
Finland for competence assessment among
experienced project managers from industry.
The method utilized was the same as in Spain.
In this research 14 project managers were
chosen with an age scale varying from 29 to
55. Participants had considerable working
experience, namely 5 to 25 years. The industry branch was project based businesses in
knowledge intensive technology industry.
Secondly during 2008 a part of the study
was conducted with students at the University
of Girona, Spain. Students were enrolled in their
last course of their technical studies. The present
organization of university studies gives students
the possibility of enrolling in their 4th year of
studies after graduating Technical Industrial
Engineering (3 years technical study). After
accessing the labor market, students usually
continue their academic career in order to finish
their 4th and 5th year of industrial engineering
(5 years higher education). Their proximity
Figure 1. Cycloid competence model (Adapted from Liikamaa, 2006; cf., Spencer & Spencer,
1993; Zwell, 2000; Boyatzis, 1982; Goleman, 1998)
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International Journal of Human Capital and Information Technology Professionals, 2(1), 37-51, January-March 2011 43
to finishing their degree, the fact that some of
them were already working and having some
experience in project management made them
especially receptive to competence evaluation.
They were asked to consider themselves as
project managers of their learning career. Approximately one week before the evaluation they
were instructed about the use of the application
and about the output reports. The application
evaluates the competences of the work role of
project manager by means of 120 statements
related to the individuals’ every day work.
It requests the self-evaluation of the current
competence level and the target level desired
by the respondent, identifying the possible
creative tension which we consider the driver
for the intentional change.
rESultS
Participants increase their awareness and
their intention to improve competences. The
academic results through traditional evaluation systems do not converge with competence
evaluation. Creative tension is a hidden element
to the traditional evaluation systems.
Results at the group level for students are
shown in Figure 2 and for experienced project
managers in Figure 3. The items are sorted following a decreasing trend in the creative tension,
meaning that we show first the major difference
between target and current level items. This
ordering is helpful in order to determine which
field can further be developed, from students’
point of view.
Figure 2 shows that a major difference
between current and target level competences
include: stress tolerance or the ability to handle
unfavorable, tiring and stressful matters and
situations and strong emotions, in the first place.
It is followed by their ability and courage to
use foreign languages - language proficiency,
performing tasks quickly and effectively – production efficiency, perceiving, considering and
understanding other peoples’ emotions and
views – understanding others, management
focusing on others - management. These are
the competences that for which students perceive a bigger gap between their actual and
desired levels. We could consider them as their
perceived weaknesses.
At the same time, the graph shows that
students feel strong in developing others,
conflict management and trustworthiness. We
could consider them as their perceived strengths.
Meanwhile, students’ future or desired level is
highest in self-assessment, group capabilities
and flexibility.
Figure 3 shows that for experienced project
managers the major difference between current
and target level competences include understanding others. It is followed by language
proficiency, communications, self-assessment
and maintaining order. These are the competences that for which experienced project
managers perceive a bigger gap between their
actual and desired levels. We could consider
them as their development potentials.
The graphs show that among students
optimism, responsibility, conceptual thinking
and seeking information are in the upper end of
the graph. Students recognize these features as
weaknesses. In the case of experienced project
managers these items appear in the lower end of
the graph. They perceive them as their strengths.
Both groups have a relatively wide gap
between current image and future vision. This
illustrates the development potential, the creative tension (Senge, 1994). Both students and
experienced project managers have high hopes
for the future. This is affects their goal orientation and their intention to change. According to
Boyatzis (2006) the more optimistic the person
is, the greater the amount of “pathways”, for
example, alternative ways to meet the goals he
or she can produce.
Figure 2 also reflects the grouping of the 30
competences previously analyzed into 6 main
groups. These results show that there are major
development possibilities or students in terms
of self-control, followed by cognitive capability, self-knowledge, motivating oneself, social
skills and empathy in decreasing order. For
experienced project managers (see Figure 3 in
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44 International Journal of Human Capital and Information Technology Professionals, 2(1), 37-51, January-March 2011
Figure 2. Students as project managers (Spain). The results can be visualized in detail at the level
of 30 competences, grouped in 6 competence groups than can be further classified as personal
or social main groups of competences.
the Appendix) the ranking is as follows: social
skills, self-control, self-knowledge, motivating
oneself, empathy and cognitive capability. It is
interesting to observe that the main difference
is conferred by the gap in the present/actual
level, while target levels are almost identical.
In terms of cognitive capability students
have lower levels of both target and current
levels. Possible reasons for current lower level
might be due to young age (approximately 20-23
years) and still a lot to learn combined with a low
level of practical experience. A possible reason
for the lower target level in cognitive capability
might rely in the fact they relate it exclusively
to their studies. Being close to finishing their
studies (third and last year) makes it lower than
all other competences, which they might not
label or interpret as study-related ones.
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International Journal of Human Capital and Information Technology Professionals, 2(1), 37-51, January-March 2011 45
Figure 3. Experienced project managers (Finland). The results can be visualized in detail at
the level of 30 competences, grouped in 6 competence groups than can be further classified as
personal or social main groups of competences.
When analyzing the main groups of competences, students prioritize personal competences while experienced project managers
have a minor bigger differential gap for social
competences.
Table 1 presents the competence differentials (in terms of creative tension) for students
and experienced project managers. For example,
optimism in the case of students ranks 6 and in
the case of experienced project managers ranks
23. The table shows a ranking of differences in a
decreasing order, meaning that the figure shows
the competences for which students perceive
a major differential compared to experienced
project managers. Therefore, developing
optimism is 17 positions more important for
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46 International Journal of Human Capital and Information Technology Professionals, 2(1), 37-51, January-March 2011
the former than the latter. It is followed by
conceptual thinking and responsibility with 12
positions, ranking them more important for the
Spanish sample of students than for the Finnish
sample of experienced managers.
On the other hand, group capabilities,
meaning creating synergy while reaching for
common goals, initiative defined as perceiving
opportunities, seizing opportunities and the
ability to create new opportunities and selfassessment as understanding one’s own weaknesses and strengths are perceived as most
important for the experienced project managers.
The differential value zero (0) shows the
commonalities (Table 1). Emotional awareness
(ability to recognize, understand and analyse
one’s own feelings), developing others (noticing
other peoples’ development needs and promoting their capabilities), language proficiency
(ability and courage to use foreign languages),
and conflict management (conciliating and settling of disagreements) are competences that
both students and project managers rank as
important for development.
In summary experienced project managers
show social competencies in general to be more
problematical than students. Students express
the lack of cognitive capability on the contrary
to experienced project managers. These results
indicate that there is a need for this kind of
assessment in order to focus education at both
individual and group level taking into account
the right set of work role competencies. The
evaluation also visualizes the hope, or the positive energy inside the person (Boyatzis, 2006)
acting as a positive trigger to intentional change.
concluSIon
In the conceptual part of this article the concepts
of project management, competence evaluation and intentional change are discussed. The
results provided by the self-evaluation gave
valuable information for individuals, organizations and management. At the individual level
the person receives data on his/her perception
that might be a trigger for self-reflection and
self-development. Meanwhile, the organization through the group reports might design
and implement target training according to the
individual’s need. Therefore, a more effective
impact is expected.
However, the implementation and exploitation of competence development is highly context dependent. In academic settings, such evaluation is relatively recent and the competence
topic is one step behind business. Therefore,
comparing students acting as project managers
to experienced project managers makes much
sense from the perspective of universities as
human resource suppliers for business.
Competence standardization and regular
monitoring in university settings is far from the
degree of such in businesses where the habitual
way of working is often by the means of projects. Certain facts might explain this situation:
the complexity of university organization, the
gap between those in the “ivory tower” (academia) and those “looking for dirty solutions
to their regular problems” (industry), the lack
of a unique competence model, among others.
Competence evaluation and development
is suggested to have resource reduction and
savings for businesses. Until recently inverting
into training targeting different employee communities according to their position was quite
habitual. This fact supposes a multiplication of
resources. Using competence evaluation a better
strategic orientation of resources is possible.
Social impact can be perceived at individual
and group levels. Employees might note certain
satisfaction when companies design training
and development plans taking into account their
idiosyncrasy and their own needs.
Universities, as work force providers for
the business sector, are actors in the knowledge
society where businesses are the ultimate innovators and wealth generators. Global economy
has high expectations in terms of the quality
of the education system. Still, certain gaps are
perceivable between the two worlds. One possible way to create synergies between the two
is through project management.
The proposed methodology shows extremes and commonalities for academia and
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is prohibited.
International Journal of Human Capital and Information Technology Professionals, 2(1), 37-51, January-March 2011 47
Table 1. Abbreviations in the table: Project Manager (PM), Finnish (FIN), Spanish (ESP)
Brief definition
Experienced PM
- FIN
Students as
PM - ESP
Differential
Group capabilities
Creating synergy while reaching for common goals
9
22
-13
Self-assessment
Understanding one’s own weaknesses and strengths
4
14
-10
Initiative
Perceiving opportunities, seizing opportunities and ability
to create new opportunities
16
26
-10
Trustworthiness
Honesty and following professional ethics
20
30
-10
Decision quality
Making decisions based on high principles, goals and
values
8
16
-8
Leadership
Management focusing on people
13
21
-8
Collaboration
Working together with others for common goals
19
27
-8
Relationship building
Establishing, maintaining and developing beneficial
relationships and unofficial networks
7
12
-5
Competence
Communications
Sincere listening and sending messages
3
7
-4
Maintaining order
Maintaining order, quality and accuracy
5
9
-4
Understanding others
Perceiving, considering and understanding other peoples’
emotions and views
1
4
-3
Leveraging diversity
Pursuing goals together with the diversity of people
18
20
-2
Self-confidence
Belief in one’s own capacity, competence and value
21
23
-2
Emotional awareness
Ability to recognize, understand and analyze one’s own
feelings
17
18
-1
Language proficiency
Ability and courage to use foreign languages
2
2
0
Developing others
Noticing other peoples’ development needs and promoting
their capabilities
28
28
0
Conflict management
Conciliating and settling of disagreements
30
29
1
Organizational savvy
Recognizing and utilizing organizational dynamics for
achieving goals
10
8
2
Flexibility
Flexible attitude towards changes and diversity
12
10
2
Commitment
Adopting the goals of a group or an organization
26
24
2
Achievement orientation
Will to develop or to pursue still better performance
22
19
3
Innovation
Natural and open attitude towards new ideas, views and
information
15
11
4
Analytical thinking
Dividing problems to parts and organizing the parts
systematically on rational basis
29
25
4
Stress tolerance
Ability to handle unfavorable, tiring as stressful matters
and situations and strong emotions
6
1
5
Management
Management focusing on matters
11
5
6
Seeking information
Satisfying curiosity and thirst for knowledge
24
17
7
Production efficiency
Performing tasks quickly and effectively
14
3
11
Responsibility
Conscientiousness and the sense of responsibility of one’s
own actions
25
13
12
Conceptual thinking
Recognizing, applying and defining concepts
27
15
12
Optimism
Reaching for goals regardless of obstacles and setbacks
23
6
17
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48 International Journal of Human Capital and Information Technology Professionals, 2(1), 37-51, January-March 2011
business in terms of perceived development
needs using a sample of students acting as project
managers and another sample of experienced
project managers.
Further development and special attention should be centered to a more in-depth
integration of project management competence
development and evaluation in the traditional
teaching/learning system and in project business environment.
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Universitat de Girona. (2006b). Guia per a
l’Adaptació a l’Espai Europeu d’Educació Superior
– 2. Competències UdG.
van Marrewijk, A., Clegg, S. R., Pitsis, T. S., &
Veenwijk, M. (2008). Managing public-private megaprojects: Paradoxes, complexity, and project design.
International Journal of Project Management, 26(6),
591–600. doi:10.1016/j.ijproman.2007.09.007
Whitty, S., & Maylor, H. (1990). And then came
Complex Project Management (revised). International Journal of Project Management, 8(1), 39–44.
Zwell, M. (2000). Creating a Culture of competence.
New York: John Wiley & Sons.
Heli Aramo-Immonen, D.Sc (Tech), has 15 years career as an engineer in international business
development, vendor management, purchase and supply chain management, in various managerial
and expert positions. Since 2004 she has been a researcher and since 2009 lecturer in Tampere
University of Technology (TUT). She has performed 2006 and 2007 as a Head of Industrial Sector
in Adult Education Center JAKK. Her research is focused on project management and knowledge
management. Present position is Lecturer of Industrial Management and Engineering at TUT
Pori, Finland. She has positions of trust in international scientific conferences and journals.
Andrea Bikfalvi is Lecturer in the Department of Business Administration and Product Design at
the University of Girona, Spain. She has a degree in Business Administration and a PhD in the
same area. Dr. Bikfalvi participated in considerable projects at regional level, conceded by the
Catalan Regional Development Agency, on the topic of entrepreneurial success, industrial competitiveness, spin-off creation, regional development and family business. Her regular activities
include both teaching and research having in common the topic of innovation. She coordinates
networks for conducting research related to innovation in teaching among regional, national
and international higher education institutions.
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International Journal of Human Capital and Information Technology Professionals, 2(1), 37-51, January-March 2011 51
Núria Mancebo Fernàndez is a Lecturer of Human Resources Management at the Business School
and Health and Safety Management at the Polytechnic School of the University of Girona, Spain.
She holds a PhD degree in the Department of Business Administration and Product Design at
the University of Girona. Her main research interests are human resource management and
health and safety management, gender relations at work and public sector industrial relations.
She is currently involved in several research projects developing and validating tools to assess
performance of organisational innovations.
Professor Vanharanta, 1949, began his professional career in 1973 as Technical Assistant at the
Turku office of the Finnish Ministry of Trade and Industry. 1975 – 1992 he worked for Finnish
international engineering companies, i.e., Jaakko Pöyry, Rintekno and Ekono as process engineer,
section manager and leading consultant. His doctoral thesis was approved 1995. In 1995-1996
he was professor in Business Economics in the University of Joensuu. In 1996-1998 he served
as Purchasing and Supply Management professor in the Lappeenranta University of Technology. Since 1998 he has been professor in Industrial Management and Engineering in Tampere
University of Technology at Pori. The research interests are: Human Resource Management,
Knowledge Management, Strategic Management, Financial Analysis, E-Business and Decision
Support Systems.
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52 International Journal of Human Capital and Information Technology Professionals, 2(1), 52-69, January-March 2011
the determinants of Information
technology wages
Jing Quan, Salisbury University, USA
Ronald Dattero, Southwest Missouri State University, USA
Stuart D. Galup, Florida Atlantic University, USA
Kewal Dhariwal, Athabasca University, Canada
AbStrAct
Anchoring this work to the classical human capital theory, the authors examine the effects of various human capital factors on IT professional compensation. Dividing IT salary into LOW (<$75,000) and HIGH
(>=$75,000) ranges and using binomial logistic regression analysis, this paper estimates the effects of IT
experience, education, IT degrees, IT certiications, and managerial positions on the probabilities of earning
low wages in comparison to high wages, while controlling for industry type, organization size and location,
gender, and marital status. Results indicate that the most important factors associated with high salaries are
managerial positions, IT experience, education, and organization size. Practical advice is given on how IT
professionals can employ these results to increase their compensation.
Keywords:
Human Capital Theory, Information Systems Personnel Management, Information Systems
Stafing, Information Technology Wages, Logistic Regression
IntroductIon
The information technology (IT) field continues to experience significant changes as we
begin to emerge from the downtrend of the
latest economic recession. Compensation for
IT jobs reached a plateau during recent years,
and in fact, decreased for some industries and/
or geographic locations (Brandel, 2009). This
trend makes it especially important to discern
the variables that determine IT wages.
Economists have widely used the human
capital theory to identify the competences,
DOI: 10.4018/jhcitp.2011010104
knowledge and personality attributes embodied
in the ability to perform a specific job function, which produces economic value for the
employer (Sullivan & Sheffrin, 2003). For
example, propose a professional career and
the competency levels related to the professional profiles identified for the organizations
subject to this study is proposed Traditional
human capital earnings functions focused on
education and work experience as the main
determining variables (Mincer, 1974). Recent
development has expanded the current models
by including variables such as training and
certifications, organization specific variables
such as industry type, location, and organiza-
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International Journal of Human Capital and Information Technology Professionals, 2(1), 52-69, January-March 2011 53
tion size, and demographic variables such as
age and gender (Galup, et al., 2004; Dattero et
al., 2005; Galup et al., 2006; Quan et al., 2007
and Quan et al., 2008).
Applying the economic theory to IT
compensation research has recently gained in
popularity. A recent study on IT compensation
uses salary data for 1,576 IT professionals in
39 organizations to investigate the relationship
between human capital endowments and IT
compensation (Ang et al., 2002). The results
show that IT salaries are directly determined
by human capital endowments of education and
experience. Moreover, institutional differences
are found to moderate the relationship. A series
of work by Quan et al. (2008), Quan et al. (2007)
and Dattero et al. (2005) using secondary data
found that IT salaries are also related to age,
gender, organization type and size, industry
type and job functions.
This study extends the existing literature of
the determinants of IT wages in the following
ways. First, the authors built the questionnaire
based on extensive literature review and collected the data first hand. Second, the specific
type of education (e.g., a degree in MIS), in
addition to education level, is considered. This is
important because a degree in IT related fields,
instead of another area such as liberal arts or
the sciences may have different implications
for IT wages. Third, managerial positions are
considered in the model. Colomo-Palacios
et al. (2010) propose a pyramidal model for
professional career development of Software
Engineers which states that competencies not
uniquely pertaining to Software Engineering,
such as management skills, are important to
stimulate professional development towards
higher levels. Higher levels mean higher pays.
Finally, binomial logistic regression analysis
is used to estimate the odds ratios of making
low wages (<$75,000) when compared to high
wages (>=$75,000) for the key variables in
the study.
In the next section, the relevant literature
on human capital theory is reviewed. Then, the
research questions based on the human capital
factors are formulated. This is followed by the
development of the binomial logistic regression
model. Following this, the nature of our survey
is discussed and some summary statistics are
presented. The binomial logistic regression
model results are then presented and discussed.
The paper ends with managerial implications
for IT professionals and suggestions for future
research.
thEorEtIcAl frAmEworK
Adam Smith’s (Smith, 1776) 18th century writings discussed the concept of compensating for
differences in wages paid to workers based on
amenities and risks in the workplace. From
this concept, Human Capital Theory (Berndt,
1991) evolved. Human Capital Theory is considered the dominant economic theory of wage
determination in the field of labor economics.
This is evidenced by its impressive record of
scholarship. Liberally including the economics
of education, Blaug (1966) bibliographically organized 792 journal articles, books, and research
studies. Less than four years later, this number
had grown to 1,350 (Blaug, 1970). In 1976, it
exceeded 2,000 (Blaug, 1978). This represents
a growth rate exceeding 120 publications per
year. The connectivity between human capital
theory and Nobel Prize awards is perhaps
more impressive than the formal publications
record. Since 1971, five Nobel prizes have been
awarded to scholars in, or affiliated with, the
field of human capital theory (Becker, 1993;
Wright, 1992). The Nobel distinction belongs
to Theodore W. Schultz and Gary S. Becker,
the two most pronounced scholars of human
capital theory; Milton Friedman and Simon
Kuznets (1945), who collaborated to publish
an important article linking medical profession incomes to investments in education; and
Robert M. Solow (1957), who helped to identify
the relatedness of education to the aggregate
production function. (Sweetland, 1996, p. 342).
Human Capital Theory states that investments made in ones’ occupation are directly
correlated to the compensation earned over
time that is received for the execution of job
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54 International Journal of Human Capital and Information Technology Professionals, 2(1), 52-69, January-March 2011
tasks. The term “human capital” relates to the
idea of treating educational spending as an
investment (Schultz, 1960; Schultz, 1961). In
essence, the more education workers have, the
more productive they will be when compared
to their less educated counterparts. As a result,
the educated worker is more likely to command
higher wages. Berndt (1991) writes that the
implications of education are a well-known
and are a straightforward extension of Smith’s
idea of equalizing differences.
This theory also provides an economic
explanation as to why a person will forego earnings and incur additional expenses to undertake
an education, for example, formal education,
on-the-job training, apprenticeships, and similar
activities (Becker, 1962; Berndt, 1991; Mincer,
1957; Mincer, 1962; Mincer, 1974).
hyPothESES dEVEloPmEnt
To examine the relationship between earnings
(dependent variable) and the human capital
factors that may affect IT professional compensation (independent variables), we extend
the Ang et al. (2002) model by including the
following determinants: (1) experience, (2)
education including education level and type, (3)
certification, (4) decision rights authority, and
(5) Institutional differentials such as industry
type, firm size and geographic location. We
also control for demographic variables such as
gender and marital status. The formal research
hypotheses are formulated in the remainder of
this section.
Experience determinant
In the IT profession, as in other professions,
experience is a primary human capital factor
(Auster, 1989; England & McCreary, 1987;
Hulin & Smith, 1965; Olson & Frieze, 1987).
As an employee gains experience, wages tend
to rise (Topel, 1991). Recent evidence indicates
that much of the wage compensation is attributable to the accumulation of industry and/or
occupation-specific experience (Groen, 2006;
Bureau of Labor Statistics, 2009).
As it relates to employer specific experience, “Neal (1995) and Parent (2000) argue that
the observed correlation between wages and
employer tenure is in fact attributable to the
wage growth with industry experience that is
correlated with employer tenure and generally
omitted from wage regressions” (Kambourov
& Manovskii, 2009, p. 64). Kambourov and
Manovskii (2009) go on to state that tenure in
an industry has a very small impact on wages
once you account for the effect of occupational
experience. Hence, we propose our first research
hypothesis as follows.
H1: IT wages are correlated with IT experience.
Education determinant
Education or training is also considered a primary human capital factor (Becker, 1975). The
human capital implications of education are a
well-known and straightforward extension of
Smith’s (1937) idea of equalizing differences
(Berndt, 1991). Educated workers are hopefully
more productive than their less educated counterparts and thus are more likely to command
higher wages. A U.S. Bureau of Labor Statistics
(2009) report (Table 1) showing 2008 annual
average earnings for persons age 25 and over
indicates that earnings increase steadily as an
employee gains more education.
Human capital theorists believe that an
investment made in education or training will
yield a lifetime of earnings (Mincer, 1957, 1958,
1962; Schultz, 1960, 1961). The investment is
twofold, it consists of direct costs in the form
of tuition and opportunity costs in the form of
foregone earnings.
We go one step further by asking whether
a degree in IT or Computer Science makes any
difference in determining IT wages. Human
capital theory distinguishes two types of training of general and firm-specific and states that
they impact earnings differently. We extend this
argument by distinguish education in IT and
in non-IT. Apparently, a degree in IT related
fields, instead of in other ones such as liberal
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International Journal of Human Capital and Information Technology Professionals, 2(1), 52-69, January-March 2011 55
Table 1. Earnings and annual average earnings
Education attained
Median weekly
earnings in 2008
(Dollars)
Median annual earnings
in 2008 (Dollars)
Percentage Change from
High-school graduate
Doctoral degree
1,561
$81,172.00
60.41%
Professional degree
1,531
$79,612.00
59.63%
Master’s degree
1,233
$64,116.00
49.88%
Bachelor’s degree
1,012
$52,624.00
38.93%
Associate degree
757
$39,364.00
18.36%
Some college, no degree
699
$36,348.00
11.59%
High-school graduate
618
$32,136.00
arts or biology, may have different implications
for IT wages.
Hence, we propose our second set of research hypotheses as follows.
H2a: IT wages are correlated with education.
H2b: IT wages are correlated with IT related
education.
certification determinant
Academics continue to debate the merits of
certifications, especially as potential substitutes
for education and/or experience (Quan et al.,
2007). Some argue that certifications do not replace experience or degrees obtained via formal
education (Adelman, 2000). Some argue that
individuals entering the IT workforce lacking
formal education may find their employment to
be short-lived with limited career opportunities
(Bartlett, 2002). Some, however, outright question the value of higher education and argue the
merits of alternatives, such as professional certifications (Vedder, 2004). Zeng (2004) points
out that certified professionals are considered
professionals regardless of whether or not they
have a college degree.
Realizing the complementary nature of IT
certifications to formal education, a number of
researchers (Peslak, 2005; Quan et al., 2007;
Randall et al., 2005; Zeng, 2004) suggest incorporating IT certifications into both secondary
and post-secondary curricula. They argue that
education alone is not sufficient, due to the
rapid changes in technology and associated
changes in the knowledge base and technical
skills, to develop professional capabilities
in the IT industry. This makes it difficult for
educational institutions to deliver relevant and
up-to-date IT education (U.S. Bureau of Labor
Statistics, 2009).
The debate about the importance of certification versus experience centers on the issue
of which one is more important. Some regard
certifications as almost immaterial without
proper experience, while others think certifications are a great complement to experience
(Roberts, 2002). We believe that IT certifications, as a form of general training, contribute
positively to human capital accumulation, and
in turn wage growth. Hence, we propose our
third research hypothesis as follows.
H3: IT wages are correlated with IT certification.
decision rights Authority
determinant
Decision rights indicate who in the organization
has the responsibility to initiate, supply information for, approve, implement, and control
various types of decisions (Pearlson & Saunders,
2010). Traditional human capital theory uses
years on the job as a proxy for ones influence or
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56 International Journal of Human Capital and Information Technology Professionals, 2(1), 52-69, January-March 2011
stature in the organization. This is because one
accumulates knowledge, skills, and expertise
over a career. Employment years alone may not
translate into a sufficient knowledge base for
sound decisions. Therefore, we use decision
rights authority as evidenced by an employee’s
job position (e.g., manager) as an indicator of
potential wage differential. Hence, our fourth
research hypothesis is as follows.
H4: IT wages are correlated with managerial
positions.
Institutional determinants
In addition to the four human capital factors
already discussed (experience, education,
certifications, and decision rights authority),
there are several institutional determinants that
may influence wages. Typically, explanations
for institutional wage differentials include:
industry, organization (or organization) size,
and geographic location.
Industry
Market environment theories suggest that
industry sectors and labor markets variations
may lead employers to different wages to their
workers. Hollister (2004, p. 660) states that,
“the most common of these explanations is that
large organizations hold monopolistic positions
in their product markets that allow them to earn
excess rents, some of which are shared with the
workers through higher wages.” Competition
to find high-quality employees with industry
specific knowledge is getting more and more
difficult even in these recessionary times. Over
the past decade, many organizations openly
boasted of their ability to “poach” or “brain
snatch” quality workers from their competitors
(Amaram, 2005). Hence, our fifth research
hypothesis is as follows.
H5: IT wages are correlated with industry type.
organization Size
Organization size wage effect is categorized by
economic theorists into two groups, neoclassical
or institutional. The neoclassical perspective
includes the labor quality hypothesis, the efficiency wage explanation, and the theory of
compensating wage differentials. The institutional perspective focuses on monopoly power
and unionization avoidance (Brown & Medoff,
1989). Scholars have studied this relationship
for over a century (Idson & Oi, 1999) and the research spans industries, occupations, countries
and time (Bayard & Troske, 1999; Paez, 2003).
Brown and Medoff concluded in their
1989 study that the size-wage premium is
“sizeable and omnipresent”. They (Brown &
Medoff, 1989) consider six explanations for
the positive relationship between organization
(organization) size and wages: (1) hire higherquality workers, (2) offer inferior working
conditions, (3) make more use of high wages
to forestall unionization, (4) have more ability
to pay high wages, (5) face smaller pools of
applicants relative to vacancies, and (6) are
less able to monitor their workers. Hence, our
sixth hypothesis is as follows.
H6: IT wages are negatively correlated with
organization size.
geographic location
Several studies have documented the central
role that human capital plays in economic development (Barro, 1991; Rauch, 1993; Simon
& Nardinelli, 1996). Since human capital is
basically the relationship between supply and
demand of skills and knowledge, geographic
locations rich in specific competencies will
draw employers to compete for in-demand
human capital. “Most economists conceptualize human capital as a stock or endowment,
which belongs to a place in the same way that
a natural resource might. But the reality is that
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International Journal of Human Capital and Information Technology Professionals, 2(1), 52-69, January-March 2011 57
human capital is a flow, a highly mobile factor that can and does relocate” (Florida et al.,
2008, p. 619). Hence, we propose our seventh
hypothesis is as follows.
H8: IT wages are correlated with gender.
H9: IT wages are correlated with marital status.
H7: IT wages are correlated with firm location.
The econometric literature on wage determination based on human capital has for the most
part been based on regression models of the
following form: the natural logarithm of earnings is a function of a measure of schooling, a
measure of experience, possibly other factors,
and a random disturbance term. In a major
departure from the traditional linear model,
we employ logistic regression by dividing the
annual salary Y into two mutually exclusive
categories: LOW for salaries less than $75,000
(Y = 0) and HIGH for salaries at least $75,000
(Y = 1). Using the HIGH group as the reference category, we used the following binomial
logistic regression model:
control Variable gender
The Equal Pay Act of 1963 was enacted to
ensure that man and women received equal
pay for equal work. Almost 50 years later, the
wage differential between women and men is
present in the work force. “A 2003 study by the
General Accounting Office (now the Government Accountability Office) found that women
earned 79.7 percent of what men earned, even
after controlling for occupation, industry, years
of work experience, job tenure, number of work
hours, time off for childbearing, race, marital
status, and education” (Alkadry & Tower, 2006).
Gender wage differentials are often associated with limited career advancement for
women. Truman and Baroudi (1994) examined
salary differences among senior IT managers
and found that the mean salary for women IT
managers was considerably lower than males.
In a later study, Dattero et al. (2005) found
that gender is a statistically and practically
significant factor in assessing a software developer’s salary.
control Variable marital Status
The wage premium attributable to marriage is
well documented (Kenny, 1983; Bartlett et al.,
1984). The two most common explanations of
why married men earn more than unmarried
men are: (1) the division of labor in a married
household allocates more of the man’s time to
the market, and (2) married men have a lower
cost of human capital acquisition, since a spouse
may be working to help finance the additional
human capital (Cornwell & Rupert, 1995, p.
10). Hence, we propose our final set of research
hypotheses as follows.
modEl
Y = α + β1(Exp) + β2(Edu1) + β3(Edu2)
+ β4(IT Degree) + β5(Certification)
+ β6(Manager) + β7(IT Industry) +
β8(Geographic location) + β9(Organization
Size) + β10(Male) + β11(Marital Status) + ε
(2)
where:
•
•
•
•
•
•
•
•
•
•
Y = 1 if wages are at least $75,000
Exp = 1 if IT Experience >=10 years
Edu1 = 1 if ‘Bachelors degree’
Edu2 = 1 if ‘Master’s or Ph.D’
Edu0 (‘some college’ or lower) is used
as base.
IT Degree = 1 if degree in MIS
Cosc Degree = 1 if degree in Computer
Science
Certification = 1 for holder of any of the
ICCP certifications (ISA, CDP, CCP, CBIP,
CDMP, CSP or ACP)
Manager = 1 if ‘Supervisor/Manager’
IT Industry = 1 ‘Communication Carriers
(ISP, Telecomm, Data Comm, TV/Cable)’,
‘Computer / Network Consulting’, ‘Data
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58 International Journal of Human Capital and Information Technology Professionals, 2(1), 52-69, January-March 2011
•
•
•
•
Processing Services’, ‘E-commerce /
Internet / Computer Services’, ‘Service
Provider (ASP, ESP, Web Hosting)’, ‘VAR,
VAD, Systems or Network Integrator’,
‘Business Intelligence and Data Integration Consulting’, ‘Computer Hardware,
Software, Services Vendor’, or ‘provider of
administrative software for K-12 schools’
D_Canada = 1 if organization in Canada
D_small = 1 if the number of employees
less than 500
Gender = 1 if male
Marital status= 1 if married
The model produces an odds ratio for each
of the independent variables that determine the
probability to be in the HIGH group associated
with that particular variable.
8 members of the ICCP Education Foundation
Board of Directors. Academics and practitioners
were included in all three groups.
Questionnaire Modifications
After Pre-Test
Each reviewer submitted comments and suggestions after completing the questionnaire.
Approximately 20 comments and suggestions
were reviewed and appropriate modifications
were made to the questionnaire.
Questionnaire Pilot Study
and modifications
This section contains the background on the
development of the questionnaire and the
method of data collection.
A pilot study was conducted during August
2008 by emailing 100 ICCP members, selected
at random, from difference parts of the globe.
The pilot study responses were not included
in the large-scale study, and the members that
participated in the pilot study were not emailed
for the large-scale study. The revised questionnaire was reviewed by the ICCP Board prior
to distribution.
Questionnaire development
data collection
Item Generation
To examine our hypotheses, we surveyed
industry practitioners, experts and managers
in information technology who are members
of the Institute for Certification of Computing
Professionals (ICCP). Founding in 1973, the
ICCP has dedicated itself to the establishment
of high professional standards for the computer
industry. It is the standard bearer for professionals in the computer industry.
Data for the study were collected using a
large-scale web-page based questionnaire. A
list of members was obtained from the ICCP.
Members were sent an e-mail asking them to
participate in the study and directing them to a
web-page based questionnaire. The questionnaire (Appendix A) was administered from
September 2008 through the end of January
2009. Table 2, Table 3, Table 4, and Table 5
present the frequency distributions of the questionnaire data for the Age, Gender, Job Title,
and Industry measures. 6,389 ICCP members
mEthodology
Human capital and IT compensation literature as
well as other relevant literature were reviewed
to understand the evolution of the human capital
theory. A comprehensive list of items was generated from the literature review. Additional items
were added where appropriate to ensure that the
constructs were properly represented. 45 items
were selected and grouped into five categories;
Respondent Background Section, Compensation Section, Education Section, Certification
Value Section, and Benefits Section.
Questionnaire Pre-test
A pre-test was conducted to establish construct
validity and to further enhance the content validity, readability, and brevity. The questionnaire
was reviewed by 12 ICCP board members, 10
members of the ICCP Certification Council, and
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International Journal of Human Capital and Information Technology Professionals, 2(1), 52-69, January-March 2011 59
were asked to participate in the study and we
received 208 completed questionnaires (3.25%
response rate). For this study, all 208 questionnaires were used to conduct the data analysis.
organization type (IT organizations), gender
and are not significant factors.
The odds ratios are reported in Table 7.
The results clearly indicate that more education, higher level of experience, being ICCP
certified, and being a manager make it more
likely that one is highly paid (making $75K or
more). The probabilities (computed from the
odds ratios) for being in the high wage group
for IT professionals who are with higher level of
education, in a supervisor position, with higher
level of IT experience, and ICCP certified stand
at 0.89, 0.83, 0.76 and 0.73, respectively. All
are substantially higher than the 50-50 split if
the respondents were evenly distributed between the High and Low wage groups. On the
contrary, IT professionals who work for small
organizations have only a probability of 0.18
to be in the High wage group, the probability
rESultS
Using the procedure LOGISTIC in SAS program, we fitted the binomial logistic model
using our survey data. The model parameter
estimates are given in Table 6 and the odds
ratios are given in Table 7.
Table 6 shows that IT experience, graduate
level education (Education 2), ICCP certification, and managerial position are all positively
associated with high salaries, while organization
size (small), geographic location (in Canada)
and marital status demonstrate the negative
effects. A degree in IT or Computer Science,
Table 2. Age
Value
Frequency
Percent
Valid Percent
Cumulative Percent
None Selected
1
.5
.5
1.0
25 to 29
11
5.3
5.3
6.2
30 to 34
10
4.8
4.8
11.0
35 to 39
12
5.7
5.7
16.7
40 to 44
17
8.1
8.1
24.9
45 to 49
37
17.7
17.7
42.6
50 to 54
49
23.4
23.4
66.0
55 to 59
45
21.5
21.5
87.6
60 to 64
26
12.4
12.4
100.0
Total
208
100.0
100.0
Table 3. Gender
Value
Frequency
Percent
Valid Percent
Cumulative Percent
None Selected
1
.5
.5
1.0
F
45
21.5
21.5
22.5
M
162
77.5
77.5
100.0
Total
208
100.0
100.0
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60 International Journal of Human Capital and Information Technology Professionals, 2(1), 52-69, January-March 2011
Table 4. Job title
Value
Frequency
Percent
Valid Percent
Cumulative Percent
None Selected
1
.5
.5
1.0
CIO, CTO, VP, Director
39
18.7
18.7
19.1
Computer Programmer
6
2.9
2.9
22.0
Computer Software Engineer, Applications
7
3.3
3.3
25.4
Computer Software Engineer, System Software
3
1.4
1.4
26.8
Computer Systems
Analyst
14
6.7
6.7
33.5
Database Administrator
5
2.4
2.4
35.9
MIS Manager
18
8.6
8.6
44.5
Network and Computer
Systems Administrator
3
1.4
1.4
45.9
Network Systems and
Data Communications
Analyst
3
1.4
1.4
47.4
Non-IT: Financial
1
.5
.5
47.8
Non-IT: Manufacturing /
Operations
1
.5
.5
48.3
None Selected
8
3.8
3.8
52.2
Other
57
27.3
27.3
79.4
Project Manager
12
5.7
5.7
85.2
Teacher / Consultant
Teacher / Consultant
31
14.8
14.8
100.0
Total
208
100.0
100.0
for those in Canada is 0.26 and for those who
are married is 0.27.
To make sure we made a good choice of
selecting $75,000 as the threshold to separate
high and low wage groups, we conducted sensitivity analysis by running the same model with
$90,000, $95,000, and $100,000 as the cutoff
points (see Table 8). Based on the Akaike’s information criterion, the model with the original
selection of $75,000 is apparently the best fit.
dIScuSSIon
Our model results provide support for many
of our research hypotheses (H1, H2a, H3, H4,
H6, and H7) and reveal some interesting findings. First, the results provide support for the
basic human capital factors of experience and
education. High level of IT experience makes
its highly likely (0.76) that the worker is in the
high wages group. Higher level of education
with Master’s or Ph.D. contributes greatest to
the probability (0.89) of earning high wage.
This highlights the importance of education.
In fact, our sample suggests that even a bachelor’s degree is not sufficient for one to earn
high wages.
Second, managers are highly likely (0.83)
to earn high wages. Limited number of studies
for IT compensation has specifically examined
the role of managerial positions. One study
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International Journal of Human Capital and Information Technology Professionals, 2(1), 52-69, January-March 2011 61
Table 5. Industry
Value
Frequency
Percent
Valid Percent
Cumulative
Percent
None Selected
1
.5
.5
.5
Agriculture / Forestry / Fisheries
2
1.0
1.0
1.4
Business Services / Consulting (noncomputer related)
4
1.9
1.9
3.3
Communication Carriers (ISP, Telecomm, Data Comm, TV/Cable)
5
2.4
2.4
5.7
Computer / Network Consulting
15
7.2
7.2
12.9
Data Processing Services
3
1.4
1.4
14.4
E-commerce / Internet / Computer
Services
3
1.4
1.4
15.8
Education
36
17.2
17.2
33.0
Finance / Banking / Accounting
13
6.2
6.2
39.2
Government: Federal (including
Military)
16
7.7
7.7
46.9
Government: State or Local
22
10.5
10.5
57.4
Health / Medical / Dental Services
7
3.3
3.3
60.8
Insurance / Real Estate / Legal
Services
20
9.6
9.6
70.3
Manufacturing of Computer Hardware or Software
3
1.4
1.4
71.8
Manufacturing Process Industries
(non-computer related)
5
2.4
2.4
74.2
Mining / Oil / Gas
4
1.9
1.9
76.1
None Selected
6
2.9
2.9
78.9
Not for Profit
3
1.4
1.4
80.4
Other
17
8.1
8.1
88.5
Publishing / Broadcast / Advertising /
Public Relations / Marketing
1
.5
.5
89.0
Research / Development Lab
4
1.9
1.9
90.9
Retailer / Wholesaler / distributor
(non-computer related)
6
2.9
2.9
93.8
Service Provider (ASP, ESP, Web
Hosting)
2
1.0
1.0
94.7
Transportation / Utilities
7
3.3
3.3
98.1
Travel / Hospitality / Recreation /
Entertainment
3
1.4
1.4
99.5
VAR, VAD, Systems or Network
Integrator
1
.5
.5
100.0
Total
208
100.0
100.0
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62 International Journal of Human Capital and Information Technology Professionals, 2(1), 52-69, January-March 2011
Table 6. Output of LOGISTIC regression
Parameter
IT Experience (>= 10 years)
Education 1 (Bachelor’s)
Estimate
Pr > ChiSq
1.169*
0.058
-0.121
0.8155
2.062***
0.0044
Degree in Computer Science
-0.638
0.1875
Degree in MIS
-0.279
0.7413
1.004***
0.0054
Education 2 (Graduate)
ICCP certification
IT industry
-0.572
0.3683
Managerial Position
1.579***
0.0031
Small Organizations
-1.621***
0.0063
Canada
-1.041**
0.0327
Male
0.501
0.3574
Marital
-0.975
0.0895
Total N = 166
Note: Reference category for the equation is High Wage (≥$75,000)
*** significant at the 1% level
** significant at the 5% level
* significant at the 10% level
Table 7. Odds ratio
Effect
IT Experience (>= 10 years)
Odds Ratio
3.218
Education Level 1 (Bachelor’s)
0.886
Education Level 2 (Master’s/Ph.D.)
7.862
Degree in Computer Science
0.529
Degree in MIS
0.756
ICCP certification
2.728
IT industry
0.565
Managerial Position
4.851
Small Organizations
0.198
Canada
0.353
Male
1.650
Marital
0.377
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International Journal of Human Capital and Information Technology Professionals, 2(1), 52-69, January-March 2011 63
Table 8. Sensitivity analysis
LOW-HIGH Cutoff
Sample Points
AIC Information Criterion
$75,000
43/123
149
$90,000
71/95
206
$95,000
89/77
218
$100,000
101/65
218
by (Soon Ang et al., 2002) show that project
leaders consistently make more money than
senior analyst and system analyst across their
hierarchical linear models, but supervisor positions are much broader than project leaders. Our
study serves as starting point for future theory
development for IT compensation by including
this important dimension.
Third, our results shed light on the long
held debate on value of education vs. certification (Adelman, 2000; Bartlett, 2002; Peslak,
2005; Randall & Zirkle, 2005; Roberts, 2002;
Quan et al., 2007; Zeng, 2004). Our results
show that while an ICCP credential improves
the probability of earning high wage to 0.73
low education level (no college education) or
average education (college education) do not
increase the probability. The combined results
seem to suggest that certifications are very
important factors for earning high wages in
the IT field while only high level of education
is relevant. In contrast, an IT related degree
(Computer Science or MIS) was found to have
an insignificant impact on salary. This was
the most surprising result and future research
needs to be undertaken to more thoroughly
investigate this. A recent study by Trigo et
al. (2010) may shed some light on this. They
surveyed 102 Chief Information Officers from
Iberian (Spain and Portuguese) large companies
and find that it is not the technical skills but
business knowledge and user support that are
important for successful IT positions. In addition, two to five years of work experience is a
key requirement as well. The combination of
business knowledge and user support skills and
work experience undermine the importance of
an IT related degree.
Fourth, our results did not show that gender
was a significant factor. While not statistically
significant, males did earn more than their female counterparts in our study --from the odds
ratio, a male has 0.62 probability of being in the
higher earning group. Additional research seems
warranted to determine if gender is becoming
less of a factor in determining wages.
Finally, mixed results are found for the
institutional differentials. Small organizations
pay IT professionals significantly less with a
probability of earning high wages being only
0.17 when compared to relatively large organizations. In addition, geographic location (the
US vs. Canada) is significant in a sense that IT
professionals in Canada have only a probability
of 0.26 making to the high wage group, when
compared to their counterparts in the US. Organization type is not a significant factor. The
suggests that at least in the two focal countries
in this study, the probability of IT professionals
earning high salary is the same for all types of
companies. This seems to directly contradict the
result by Ang et al. 2002) which states that IT
professionals in IT intensive organizations are
paid more than those in less IT intensive ones.
However, given that their data were collect in
Singapore in 2002, we think the two sets of
results cannot be directly compared.
Study limitations
This study has certain limitations. First, the data
was collect using an email distribution list from
the ICCCP whose membership may not fully
represent the general IT professional population.
But the fact that the data was collected from
members who are also practicing IT professional
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64 International Journal of Human Capital and Information Technology Professionals, 2(1), 52-69, January-March 2011
in 25 industries and 15 job titles moderated some
of this concern. Second, because the data comes
from the ICCP membership, potentially some
bias toward responses from those who benefit
from certification may be present. Third, the
data was collected only from North America
(Canada and the U.S.).
concluSIonS
Based on classical human capital theory, this
study examines the effects of various human
capital factors on IT professional compensation. The set of factors include IT experience,
education, degree type, industry type, IT certifications, managerial position, organization size
and location, and demographics such as gender
and marital status. IT experience, high level of
education, IT certifications, and managerial
position were found to be significant factors
while degree type, organization type (IT vs.
non-IT), gender and marital status were found
to be insignificant.
Our results suggest to IT professionals that
if making more money is the goal, they should
expand their horizon beyond the pyramid and
scope of the IT careers (Colomo-Palacios et
al., 2010). It is helpful for them to empower
themselves with managerial knowledge and
skills that can enable them to move up the organizational career ladder. In addition, people
who combine business skills and IT experience
to establish effective links between separate operations within organizations are more efficient
and effective for successful implementation
of IT-enabled business process re-engineering
(Galinec, 2010). Other important factors include
earning advanced degrees, getting certified, and
acquiring as much IT experience as possible. In
fact, a highly educated, experienced (10 years)
manager with ICCP has about a 0.97 chance of
being in the high salary group. Our results also
indicate that IT professionals should continuously update their skills by obtaining proper
industry certifications.
This research suggests a few avenues for
future research. First, it may be useful to further
divide managerial positions into more detailed
groups such as lower level, middle and top
management. By doing this, one can discern
the marginal monetary reward as IT workers
move up the management ladder. Second, the
sample used in this research seems biased toward the highly educated with more than 35%
of the respondents having Master’s or Doctorate
degrees. This is by no means a reflection of the
general IT workforce. Future research may want
to aim to collect more balanced data set. Third,
our results indicate that an IT degree is not a
significant factor, which contradict directly
with Ang and Slaugher (2002). More research
must be done to explain the discrepancy. Fourth,
our results indicated that graduate degrees and
managerial positions are both significant factors
so a future investigation on the effects of an MBA
on the wages of IT workers seems warranted.
AcKnowlEdgmEnt
The authors gratefully acknowledge the support
for this research from the Institute for Certification of Computing Professionals.
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Jing Quan is an Associate Professor in the Department of Information and Decision Sciences
in Perdue School of Business at Salisbury University. He holds a Ph.D. from the University of
Florida. His research interests include organizational impact of information technology (IT), IS
security, and IT professional and personnel issues. His work has appeared in such journals as
Journal of Management Information Systems, Communications of ACM, Communications of AIS,
Information Resources Management Journal, International Journal of Information Management,
Journal of Global Information Management, and Journal of Computer Information Systems.
Ronald Dattero is Professor of Computer Information Systems at Missouri State University. He
holds a Ph.D. from Purdue University and holds the Professional Competence Certificate in
ITSM (Information Technology Service Management) according to ISO/IEC 20000. His research
interests include knowledge management, IT professional and personnel issues, and ITSM. His
work appears in such journals as Journal of Management Information Systems, Knowledge
Management Research & Practice, Journal of Knowledge Management, Knowledge and Process
Management, Information and Management, Information Systems, Decision Support Systems,
Communications of the AIS, and Communications of the ACM.
Stuart D. Galup is Associate Professor of Information Technology at Florida Atlantic University.
He holds a D.B.A. from Nova Southeastern University and is a Certified Computing Professional
Certified ITIL® Expert, Certified in the Governance of Enterprise IT, and Consultant/Manager
Competence Certificate in ITSM according to ISO/IEC 20000. His professional work in the
transformation of information technology organizations was featured in Computerworld and
Datamation. His research appears in such academic journals as Communications of the AIS,
Communications of the ACM, Information Resources Management Journal, Communications
Research, Information Systems Management, and Journal of Computer Information Systems.
He is co-author of ‘Building the New Enterprise: People, Processes, and Technology’ and ‘The
IT Organization: Building a World-Class Infrastructure’ both published by Prentice Hall.
Kewal Dhariwal has been a manager of ICCP research in knowledge standards and impact
of professional credentials on promotion in the workplace and learning outcomes assessment
for graduates of four year degrees in IT. He has had parallel research projects in supply chain
management at Athabasca University for the past 9 years. He was the founder and Director of
the NAIT Microcomputer Institute (1985-2001) and adjunct faculty for Information Management
at the University of Alberta from 1995-2001. He has managed/manages International education projects in Cuba, Zambia, Zimbabwe, Kenya, Tanzania, Botswana, Indonesia, Thailand,
Philippines, India, Saudi Arabia, Libya, Hong Kong, Singapore, Argentina, USA, Trindad &
Tobago and works extensively improving competitiveness of small companies as well as fortune
1000 corporations.
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68 International Journal of Human Capital and Information Technology Professionals, 2(1), 52-69, January-March 2011
APPEndIx A: QuEStIonnAIrE
demographics
Age
Gender (F/M)
Marital Status
Do you work in the IT field (Y/N)?
Job Title
Job Function
Supervisor/Manager (Y/N)
Number of Years for current job title
Number of Years with the current company
Job Type: Temporary, Term, Permanent, Contracted, Other (please specify)
Industry:
City:
State/Province:
Country:
Base salary in 2007:
% increase from 2006:
Bonus in 2007:
% increase from 2006:
Education
Some high school
High school graduate
Some college
Junior college graduate (2 year / Associate degree program)
Bachelor’s degree (3 or 4 year degree program)
Graduate diploma
Master’s degree
Doctoral degree
Other (please specify)
degree major
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
Information Science
Communications
Computer Science
MIS/BIS
Liberal Arts
Business
Education
Mathematics
Economics
Chemistry
Physics
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International Journal of Human Capital and Information Technology Professionals, 2(1), 52-69, January-March 2011 69
12.
13.
14.
15.
16.
17.
18.
Engineering
Science
Statistics
Management Science
Accounting
Finance
Data Management
21. Management
22. Other
IccP credential
CBIP
CCP
CDMP
CDP
CSP
CCPformer
ACP
ISA
Non-ICCP Credential (Please specify)__________
None of any.
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70 International Journal of Human Capital and Information Technology Professionals, 2(1), 70-83, January-March 2011
learning in networks of SmEs:
A case Study in the Ict Industry
Valentina Morandi, University of Brescia, Italy
Francesca Sgobbi, University of Brescia, Italy
AbStrAct
This paper contributes to the debate on the participation of SMEs in voluntary business networks by framing
the relationship between the different types of network-based learning. Learning about networking, which
concerns the capability to set, manage, and terminate a strategic alliance, is opposed to learning by networking, which involves the sharing and the joint creation of technical knowledge. The proposed framework is
tested in the case of a network of Italian SMEs in the ICT sector. Empirical evidence conirms that learning
about networking enables learning by networking and helps to balance those tensions and conlicts that inevitably mark the existence of inter-irm networks. Learning about alliance management provides networked
IT entrepreneurs with the capabilities to compete against larger competitors. As learning paths also drive
the evolution of inter-irm alliances, networked entrepreneurs would beneit from choosing collective goals
in line with their alliance management capabilities.
Keywords:
ICT, Learning Process, Management Capabilities, Networks, SME
IntroductIon
Thanks to the promise of providing a suitable
and timely response to intense and rapid change,
inter-organisational networks have gained
considerable attention by researchers, business
companies and institutional actors (Doz &
Hamel, 1998; Parkhe et al., 2006). A growing
body of literature has examined the formation of
inter-firm linkages (Gulati, 1995; Ahuja, 2000;
Park & Zhou, 2006), the governance structure
of networks (Jones et al., 1997; Rowley et al.,
2000), the dynamics of relationships among network participants (Hite & Hesterly, 2001; Kim
et al., 2006) and the impact of networking on
DOI: 10.4018/jhcitp.2011010105
firm performance (Bell, 2005; Goerzen, 2007).
Prior studies suggest that strategic alliances and
networks are powerful means to face intense and
dynamic knowledge-based competition. They
represent cost- and time-effective alternatives
to the purchase or the in-house development
of proprietary resources (Grant, 1996) without
compromising autonomous decision-making
at the firm level (Street & Cameron, 2007).
However, participation in networks also exposes
members to the risk of opportunistic behaviour
by partners and requires the development of
alliance management capabilities (Kale et al.,
2000; Pisano, 1990; Ireland et al., 2002).
The use of alliances and networks as means
to overcome the constraints imposed by limited
resources makes those solutions particularly
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International Journal of Human Capital and Information Technology Professionals, 2(1), 70-83, January-March 2011 71
attractive for small and medium enterprises
(SMEs). Nevertheless, the available evidence
on networks mainly focuses on alliances among
large players (see e.g., Browning et al., 1995;
Doz, 1996; Simonin, 1997; Kale et al., 2000;
Gogan et al., 2007) or local networks of socially
and economically intertwined smaller actors
in industrial districts (Pyke et al., 1990). Only
recently researchers have started to provide
evidence on networks of non-district SMEs
(for a recent survey see Thorgren et al., 2009),
which provide participants with the opportunity
to achieve economies of scale and to rationalise
internal and external processes (Sher & Lin,
2006). The wide number of potential beneficiaries and the persistence of substantial obstacles
to the achievement of the expected advantages
(Duysters & Heimericks, 2005) justify the effort
of disentangling the processes which underlie
cooperation in networks among SMEs.
This paper contributes to the debate on the
participation of SMEs in voluntary business
networks by modelling the relationship between
different types of learning. The proposed approach differentiates between learning about
networking, defined as the capability to set,
manage and terminate a strategic alliance, and
learning by networking, which concerns the
sharing of technical knowledge and capabilities
among network members and the joint creation
of new technical knowledge. We argue that
learning about networking is an enabling factor
of learning by networking. By developing mutual trust and shared values, network participants
develop communication skills and learn how
to balance those tensions and conflicts which
inevitably arise in alliances. Learning about
networking consequently provides a favourable environment in support of the sharing and
transfer of technical knowledge.
The proposed framework is validated
through the analysis of a longitudinal case study
about an ICT consortium of Italian SMEs. The
focus on the ICT industry is motivated by three
reasons. First, intense and dynamic competition
in the ICT industry encourages firms’ participation in networks. Second, the ICT industry is
characterised by the opposition between few
large, integrated, often multi-national companies and a plethora of small entrepreneurial
firms focused on limited stages of the supply
chain. As a matter of fact, specialisation and the
parallel need for compatibility among different
modules and products have led to the creation of
ICT business clusters all over the world (OECD,
2001). Third, IT professionals in general, and
small ICT entrepreneurs in particular, often
benefit from strong technical skills, opposed to
much weaker managerial capabilities (Storey,
1994; Hines, 1995; Orser et al., 2000; ColomoPalacio et al., 2010; Trigo et al., 2010). These
characteristics make alliances among small ICT
firms an ideal test-bed to observe processes of
learning about networking.
The rest of the paper is organised as follows.
The main features of voluntary networks of
SMEs are outlined, followed by an introduction
of the key-concepts which underlie learning
processes in voluntary networks of firms and
presents the proposed framework to identify and
model those learning processes. Next, the story
of the examined consortium is discussed and
the evidence on the observed learning processes
under the light of the proposed framework is
presented. Finally, some concluding remarks.
VoluntAry nEtworKS
of SmES
SMEs increasingly opt for external relationships
as a means to overcome their shortage of skills
and resources (Deeds & Hill, 1999; Van Gils &
Zwart, 2004). Besides the benefit of cost and risk
sharing, external relationships may provide access to additional and complementary resources
and know-how that enable the exploration of
new business and technological opportunities.
Consequently, external relationships support
the achievement of competitive advantages
otherwise beyond their scope and capabilities of
SMEs. Yet, a successful cooperative relationship
requires specific management skills (De Man,
2005), which include both alliance capability and alliance portfolio management skills
(Draulans et al., 2003; Hoffman, 2007). The
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72 International Journal of Human Capital and Information Technology Professionals, 2(1), 70-83, January-March 2011
former is required to match internal resources
with partners’ resources. The latter concerns the
development of a set of external cooperative
relationships according to the business strategy
of the firm.
Dyadic alliances are often not enough to
overcome the constraints imposed on SMEs by
their limited resources. The increasing rate of
network relationships observed among SMEs
(Varamaki & Vesalainen, 2003) drives the
attention of this study to multi-lateral cooperative agreements, defined as “a collection of
relationships that binds a group of independent
organizations together” (Street & Cameron,
2007, p. 241). In particular, this study focuses
on voluntary business networks, which aim at
increasing the participants’ turnover and involve
explicit commitment by members based on a
formal contractual agreement.
Compared to other types of inter-organisational relationships, voluntary networks
are characterized by long-term commitment,
explicit agreement upon cooperative goals
otherwise precluded, and independence of
participants (Yoshino & Rangan, 1995; Gulati
et al., 2000; Kale et al., 2000; Speckman et
al., 1998). Prior studies have identified the
antecedents and the drivers of the outcomes
of those networks. In particular cooperative
relationships are more fruitful if partners are on
the technological frontier (Stuart, 2000). Intranetwork knowledge transfer is supported by
equity-based agreements (Mowery et al., 1996),
by diversity in the technological background of
partners1 (Montoya-Weiss et al., 2001) and by
good relational and combinative skills, which
favour stability and effective combination of
external and internal resources (Lechner &
Dowling, 2003). The management of cooperative relationships is supported by a clear state of
purpose and a long-term oriented scope, which
reduce the likelihood of misunderstandings and
competitive tensions among partners (Larsson et
al., 1998). Also the help by external intermediaries has proven to be significant in smoothing
intra-network tensions (Sherer, 2003).
Among the peculiarities of networks of
SMEs, the literature has stressed their higher
difficulty in capitalising the profits from cooperation (Hobday, 1994) and their higher risk of
losing control of their own business compared
to large firms (Street & Cameron, 2007).
lEArnIng In fIrm nEtworKS
Opposite to the large number of studies on the
determinants of formation and performance of
voluntary networks, research on organisational
learning and knowledge transfer in networks
is still relatively limited (Street & Cameron,
2007). In addition, the widely shared consensus
on the multi-faceted nature of learning2 so far
hampered a comprehensive understanding of
network-based learning processes.
Organisational learning is regarded as a
typical outcome of inter-firm cooperative agreements and learning opportunities are expected
to result in better economic performance and
innovativeness (Powell et al., 1996; Lane et al.,
2001; O’Sullivan & Dooley, 2010). The access
to partners’ knowledge and capabilities, the
acquisition of new skills and competences from
network members, and joint product or process
innovation represent intangible knowledgebased pay-offs for the members of multi-lateral
inter-firm networks (Simonin, 1997).
The transfer of technological knowledge to
and from partners and the creation of new technical knowledge develop either by integrating
different sources of existing knowledge or by
jointly exploring new opportunities (Podolny &
Page, 1998; Johansson & Ylinenpää, 2006). We
name the underling learning process as learning
by networking, as it concerns the acquisition and
development of technical knowledge involved
with the goals of an alliance.
Learning by networking cannot be taken
for granted, as knowledge transfer among
independent organisations is usually more
challenging than internal knowledge transfer
(Inkpen & Tsang, 2005). Effective knowledge
transfer requires adequate absorptive capacity
by partners (Mowery et al., 1996), complementary technical knowledge3 (Powell et al., 1996),
and the capability to make sense of, internalise
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International Journal of Human Capital and Information Technology Professionals, 2(1), 70-83, January-March 2011 73
and routinise past experience: “A firm’s propensity to transform collaborative experience into
a form of competitive advantage will depend
on its capacity to internalize and routinise lessons drawn from a variety of organizational
and individual experiments” (Simonin, 1997,
p. 1157). Therefore, learning by networking is
not the only type of learning which takes place
in a network. Inter-organisational relationships
also involve learning about collaboration planning and management (Kale et al., 2000). We
label this second learning process as learning
about networking. Learning about networking is
driven by experience, yet experience alone is not
enough to reap the full benefits of collaboration.
Organisational experience has to be internalised
before turning into collaborative know-how,
defined in literature as the capability to identify,
negotiate, manage, monitor and terminate cooperative agreements and to apply those skills
to subsequent collaborations (Simonin, 1997).
The internalisation of experience is leveraged
by the creation of organisational roles devoted
to codify and share the know-how from prior
experiences (Kale et al., 2001), the development of organisational routines to work with
partners (Inkpen & Tsang, 2005) and to assess
the value of alliances (Draulans et al., 2003),
and the establishment of relational capital. The
latter is defined as “the level of mutual trust,
respect and friendship that arises out of close
interaction at the individual level between
alliance partners” (Kale et al., 2000, p. 218).
Relational capital favours information sharing,
cooperation and coordination of joint activities
among firms. If collaborative know-how opens
up additional communication channels and
represents a means to integrate participants’
resources, relational capital reinforces mutual
trust and the willingness to collaborate.
The above presentation suggests that learning by networking and learning about networking are not independent processes. Effective
collaboration among partners takes place only
after learning about networking has created the
necessary common language and routines to
support competence integration and exchange.
In other words, if learning by networking is
an expected outcome of network-based collaboration, learning about network represents
an enabling condition that develops a shared
reference framework for cooperative practices
(Figure 1).
In addition, learning about networking
provides crucial skills to manage the inevitable
tensions which arise among partners. In successful networks, participants develop the capability to manage conflicting forces and to
survive the subsequent crisis which threatens
an alliance. Networks usually suffer from tensions due to the contrasts between the advantages from collaborating with potential competitors and the benefits from competing with
former partners, to the contemporary need for
codified rules to govern usual operations and
flexible solutions to cope with unpredictable
events, and to the strategic opposition between
exploiting current results and exploring future
opportunities (Das & Teng, 2000). By providing tools to manage the inherent tensions in a
collaborative network, learning about networking facilitates the survival of network-based
alliances. In turn, stability increases the partners’
willingness to share technical knowledge and
activate processes of learning by networking.
thE AlPhA conSortIum
A longitudinal case study on a business consortium of ICT small firms established in 2003
provides an interesting opportunity to identify
learning processes in a network of SMEs4. Data
were collected in spring 2009 via face-to-face
interviews with the president of the consortium,
a member of the board of directors, and representatives of the local Small Firms Association
(SFA). Additional information was provided by
the analysis of available documents on network
members.
The consortium, which in early 2010 included 26 firms between 2 and 40 employees,
will be named Alpha. The members of the
consortium supply ICT products and services
to local private and public clients. All firms
are located in a province of Northern Italy
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74 International Journal of Human Capital and Information Technology Professionals, 2(1), 70-83, January-March 2011
Figure 1.
whose industrial background is characterised
by the predominance of entrepreneurial and
small firms. In order to bridge the province
to the knowledge economy, the local Public
Administration (PA) has promoted important
investments to renew the ICT infrastructure used
by the local public administrative, health and
educational organisations and to provide ICTbased services to residential and business users.
As the PA is the largest and technically most
advanced client in the local market, contracts
with the local PA constitute for ICT companies
the most stimulating and challenging orders,
besides an attractive source of “guaranteed”
cash flow. However, participation in public calls
for tender requires an ISO certification and a
productive capacity usually beyond the span of
a small ICT company. Alpha Consortium was
consequently established to access this promising market segment otherwise dominated by
large, often non-local companies. Up to 2009,
the life of the consortium can be divided into
three stages: the set up, the initial steps, and the
consolidation phase. The following paragraphs
describe those stages and outline the incoming
business opportunities and challenges.
the Set up (2002-july 2003)
The birth of the consortium was triggered
by two main events. First, an IT chapter was
established in 2002 at the local SFA. The new
entrepreneurial association encouraged the
development of relational capital among ICT
entrepreneurs and the exchange of information
about problems and business opportunities. By
supporting the aggregation of SMEs to exploit
synergies and enhance competitiveness, the new
chapter encouraged the diffusion of a local entrepreneurial culture supportive of networking.
Second, the local government chose to encourage the participation of local ICT suppliers in
public calls for tender in order to trigger the
development of a qualified local demand for
ICT services and to foster the development of
local suppliers5.
Within the above framework, the board
of directors of the IT chapter promoted a
consortium to aggregate local SMEs and enter
the market of public calls for tender. All ICT
associates of SFA were invited to a kick-off
meeting, where about half of local small players participated. The consortium was founded
in July 2003 with 23 members, including both
potential competitors and companies with
complementary skills. All the most prominent
players among local small companies listed
among founders.
The memorandum and the regulations of
the consortium were prepared by the staff of
SFA, who could provide their long experience
with consortium legal issues. Whilst the memorandum describes the governance structure and
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International Journal of Human Capital and Information Technology Professionals, 2(1), 70-83, January-March 2011 75
entry and exit mechanisms, the regulations state
the fundamental rules of job order management,
including the allocation of contracts and the
coordination mechanisms among partners. Job
orders are usually allocated based on competences and rotation among partners, under the
supervision of a project manager chosen among
the involved firms. However, members who directly lobby to win a contract to the consortium
are entitled to participate in it, irrespective of
rotation rules. A share between 1% and 10% of
each contract won by the consortium is used to
cover the operating costs of Alpha. In addiction,
new members are required to pay a deposit of
5.000 euros, which is paid back in case they
leave the consortium.
Alpha is governed by a board of 4 directors and a president, elected by members every
three years. The board of directors is in charge
of deliberating about project development,
investments, entries and exits to and from the
consortium, and administrative issues. Although
time-consuming, the participation in the board
of directors is not rewarded, except a small
token paid to the president.
the Initial Steps (july
2003- july 2006)
The first task of the consortium members was
the election of a board of directors. Apart from
few exceptions, the members of Alpha had
neither cooperated nor interacted before joining
the consortium. The weak mutual acquaintance
among members and the lack of information
about partners’ characteristics led to the election
of entrepreneurs who also seated in the steering
committee of the IT chapter at the local SFA,
who were the most active promoters of Alpha.
At the beginning, and possibly due to their
technical background, the directors showed a
stronger focus on technical issues rather than on
marketing initiatives. Alpha promoted technical
meetings where entrepreneurs and technicians
debated promising technologies and common
technical challenges. Alpha organised also
social events where members could develop
mutual acquaintance. However, according to
the opinion of some associates, these activities diverted the attention from the main goal
of the consortium, i.e., winning contracts from
the local PA. Indeed, between 2003 and 2005
the consortium won only two contracts, both
with the same public organisation. Despite the
slow growth of turnover, the initial steps of
the consortium have been appreciated by most
members as Alpha demonstrated the capability to compete with the existing lobby of long
established suppliers in the provision of ICT
services and products to the local PA.
New firms joined the consortium between
2003 and 2006. In addition, since the beginning
participation in the consortium has stimulated
cooperation among firms that goes beyond the
consortium mission. Firms have been increasingly cooperating in joint contracts also with
private clients.
the consolidation Phase
(july 2006 – 2009)
The action of Alpha gained an additional impulse after 2006, when a decree by the Italian
government forced the exit of the largest local
industrial provider of ICT services from the
publicly-owned company in charge of managing the ICT services of the local PA. In the
same year, as mandated by the memorandum
of the consortium, a new board of directors was
elected, with partial renewal of the governance
board. On the one hand, not all members of
the original board of directors were willing to
continue, due to the time-consuming nature of
the position. On the other one, some members
lobbied for a board of directors more prone to
marketing activities and less focused on technical issues. As a matter of fact, after 2006 the
consortium reduced the frequency of technical
meetings. The new board of directors implemented substitute mechanisms to support the
transfer of technical knowledge, including a
mailing list and a competences repository, the
latter stimulated by the local PA.
Thanks to increasing commitment towards
marketing activities, the new business opportunities risen by the recalled governmental decree
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76 International Journal of Human Capital and Information Technology Professionals, 2(1), 70-83, January-March 2011
and the good reputation acquired with previous
orders, the consortium gained several contracts
with the local PA. According to the president,
the profits of the consortium increased because
of the growth of new contracts both in number
and size. Not all members of the network participated in contracts with the same frequency:
some highly specialised firms never engaged
into the business activities of Alpha consortium.
However, their permanence in Alpha provides
indirect evidence of the positive impact of being a consortium member on the reputation of
participants.
The variety of contracts in size and type
made the consortium experience different
management solutions. For example, in order
to achieve the production capability required
by large and complex contracts, the consortium
learnt to outsource some tasks to external ICT
firms. As the turnover of the consortium rose,
administrative tasks absorbed an increasing
amount of time from the board of directors.
At the end of 2006 a part-time administrative
employee was consequently hired to assist the
president in daily management operations.
In time, the board of directors and the
president gained increasing knowledge about
the technical skills, the managerial skills and
the cooperative attitude of members. This
knowledge has favoured a more frequent resort
to informal negotiation and moral suasion in
order to manage and, when possible, prevent
contrasts among partners.
Cooperation among members continued to
increase also after 2006. In spring 2009 about
one third of participants collaborated outside the
consortium mission in the provision of products
and services to private clients. Cooperation also
stimulated mergers among network participants.
In 2007, a one-entrepreneur firm merged with
another company, whilst a merger among two
potential competitors was foreseen in the next
future at the time of our interviews. According
to the president of Alpha, these events would
not have happened without the consortium.
the current challenges
The consortium is still alive and prospering 7
years after its foundation and no termination
is in sight. So far the consortium has achieved
several important targets. First of all, the contracts won witness its reputation as a reliable
business partner for the local PA. Although
Alpha accounts for only 15% of local SMEs,
whose turnover represents 50% of the local
private ICT market, it became de facto the
only channel available to small companies for
participating in calls for tender for the local
PA. The consortium also gained a reputation
as an effective supplier of advanced services
and know-how. For example, the firms of the
consortium developed an advanced solution for
the search engine of the Internet portal of the
local PA, previously run by a foreign large firm.
The consortium is now debating future
opportunities, including the expansion to other
geographical markets and the entry in the private sector with proprietary software products
developed by members. However, the entry
in new markets is hampered by the required
investments in assets and knowledge and by
the opposition of some members, who resist
growth processes and the associated significant
changes in the organisation and governance of
their company.
dIScuSSIon
The lifecycle of Alpha Consortium provides
insight on how external relationships support
SMEs in a dynamic and challenging business
environment such as the ICT industry. The
consortium mainly targets the increase of the
participants’ turnover. However, the above section has reported significant learning processes
and their effects on partners and network’s performance. Therefore, Alpha looks suitable for
validating the role of learning about networking
as an enabler of learning by networking and a
tool for conflict management.
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International Journal of Human Capital and Information Technology Professionals, 2(1), 70-83, January-March 2011 77
learning Processes in
Alpha consortium
The interpretive framework depicted in Figure
1 suggests that learning about networking is a
firm-level process resulting from the interaction between (collective) relational capital
developed at the network level and (individual)
collaborative know-how developed at the firm
level. At the start up of Alpha consortium, the
local institutions played a crucial role to initialise
trust and relational capital. The opportunity to
participate in calls for tender for the local PA
emphasised the benefits of joining the network,
while the administrative support provided by
the local SFA and the commitment by the local
IT chapter and the best reputed players helped
new members to overcome initial distrustfulness and doubts. Technical meetings and social
events further reinforced relational capital in the
phase of start up.
The beginning of operations activated two
distinct flows of collaborative know-how, which
respectively involved the board of directors and
the firms participating in the consortium. Learning by the board of directors concerned operations
such as negotiation of new contracts, allocation
of won contracts, management of new entries and
exits and conflict management. Informal negotiations and knowledge about each participant’s
characteristics and attitudes became in time as
useful as formal rules in order to avoid competitive or uncooperative behaviours by partners.
In time, the board of directors became aware of
the limits of the rotation rule, which does not
guarantee that the firms entitled to participate
in a job order are those whose capabilities best
match with the job technical and managerial
requirements. The solution adopted to maximise
the fit between required and provided capabilities
while formally respecting the pre-emption rule
consists in involving the consortium members
whose competences are critical for success in
early negotiations with the PA, as lobbing for
winning a contract entitles participation in the
contract irrespective of the rotation rule. In this
case, a deep knowledge of members’ capabilities
and an early understanding of the requirements of
calls for tenders are critical for avoiding contrasts
among interested firms. The board of directors
also learnt how to optimise the allocation of
resources by matching the size of the teamwork
with job order characteristics, eventually resorting to outsourcing.
In the case of consortium members, interaction with partners and outsourcers in the execution of joint orders represented the main source
of learning about networking. Firms learnt how
to divide, coordinate and control inter-dependent
tasks. The members of Alpha also developed
capabilities to lobby with the local PA to win
new contracts and with the board of directors for
affecting the strategic choices of the consortium.
Learning about networking in Alpha
consortium develops along a virtuous cycle of
interaction between collaborative know-how and
relational capital. Individual collaborative knowhow transforms into shared routines and beliefs,
while relational capital is filtered by individual
collaborative know-how to shape unique learning processes at the firm level. The story of the
consortium provides several examples of the
continuous swing between the individual and
the collective dimension of learning. The need
for a stronger market-oriented leadership by
some firms resulted in a new composition of the
board of directors. Progressive learning about the
administrative burden of running a consortium
made members accept to share the fixed cost of
a part-time administrative staff, initially refused
by most firms. However, learning about networking has not been homogeneous in the network,
as learning paths depend on the frequency of
firm’s engagement in consortium activities and in
cooperative experiences outside the consortium
with other members of Alpha. Different learning
paths result in different opinions about the future
challenges of the consortium. Despite a growing
convergence towards the opportunity of enlarging the scope of the consortium to new business
areas, some firms still regard the cost and risk
of managing internal growth processes higher
than the prospective benefit of a higher turnover.
Although partners do not primarily regard
Alpha as a source of technical know-how,
some mechanisms exist in support of learning
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78 International Journal of Human Capital and Information Technology Professionals, 2(1), 70-83, January-March 2011
by networking. Both the technical mailing
list and the competence repository represent
voluntary channels to exchange technical
knowledge across sub-cliques of SMEs with
similar interests. However, the main source
of knowledge transfer among the members of
Alpha consortium is represented by cooperation
in the execution of joint job orders. Horizontal
collaborations among partners with similar
skills to provide the required productive capacity
mainly involve processes of knowledge deepening. On the contrary, vertical collaborations
among specialised partners to provide clients
with end-to-end services develop integrating
capabilities.
Significant processes of joint creation of
new knowledge did not take place yet in Alpha
consortium. However, cooperative innovation
has been identified as a strategic option to support the growth of the consortium. At the time
of our interviews, the entrepreneurs of Alpha
were assessing the pros and cons of widening
the scope of the consortium to the provision
of innovative proprietary software products to
private clients. However, several obstacles to
this option have been identified, including the
non-negligible relation-specific investments
required by the new project and the need to
develop new managerial skills to operate in a
different business environment.
the Enabling function of
learning About networking
The above paragraph has pointed out how processes of learning about networking and learning
by networking unfold with the development of
Alpha. In most cases, learning about networking
plays the role of an antecedent to learning by
networking as it provides a common reference
framework that supports the transfer and sharing
of technical knowledge. First, learning about
networking and mutual knowledge are the main
drivers of technical projects jointly executed
by partners outside the consortium mission.
Learning about networking also stimulated the
observed mergers, aimed at improving the technical competence of involved partners. Second,
only after learning how to work together the
members of the consortium are now discussing
cooperative innovation.
An additional indirect proof of the enabling
role of learning about networking is supplied
by the client-specific nature of relational capital
and collaborative know-how in the observed
case-study. Learning about networking developed by the members of Alpha consortium is
focused on a unique and quite peculiar client, the
local PA. This focus has led to the development
of a relational capital supportive of contextspecific collaborative know-how, which may
be hardly transferable to other businesses. In
case of significant changes of current rules and
goals, the conditional nature of trust among
the network members risks to constraint the
evolutionary path of the consortium. If partners
trust each other and the board of directors as
far as it concerns contracts with the local PA,
less agreement exists about the opportunity
of expanding the consortium in new markets
and jointly developing and providing new
products and services. This finding underlines
that consortium members are at least partially
aware of the limits due to the client-specific and
region-specific nature of their paths of learning
about networking.
learning About networking
and conflict management
The analysed consortium is affected by all
types of tension identified by Das and Teng
(2000), i.e., the contrast between cooperation
and competition, the contrast between stability and flexibility, and the contrast between
partners pursuing short-term and long-term
targets. Learning about networking proved to
be an important tool to manage and balance
these competing forces.
The diversity of participants in terms of size
and specialisation represented a potential source
of non-cooperative behaviour and competition
among associated firms. However, members
have been able to moderate the competitive
pushes since the very beginning of the alliance.
The careful identification of the consortium
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International Journal of Human Capital and Information Technology Professionals, 2(1), 70-83, January-March 2011 79
mission has been a crucial tool for smoothing
competitive tensions in Alpha. While private
clients represent a competitive arena for the
members of Alpha, the local PA is only accessed via consortium-mediated cooperation.
By segmenting their market, the members of
Alpha clearly identified separate fields for
competition and cooperation. In addition,
competitive and cooperative forces are balanced
by the centralisation of decisional power in
the hands of the directors. This choice favours
the early identification of potential sources of
competition among network members. Also the
existence of formal rules to govern standard interactions among partners pushes to cooperation
and lowers the risk of opportunistic behaviour.
The consortium also developed solutions to
smooth tensions between rigidity and flexibility.
The development of collaborative know-how
led to shared formal procedures whose rigidity
is smoothed by their simplicity and leanness.
In addition, the flexibility of entry and exit
mechanisms moderates the rigidity of the
consortium mission and informal bargaining by
the president and the other directors supports
the identification of more acceptable solutions
than those allowed for by the strict application
of formal rules.
During the start up, the consortium faced
the opposition between short and long-term
orientation of participants. Whilst most participants were attracted by the short-term
opportunity of making business with the local
PA, the technical focus of the original board
of directors attached importance to long-term
growth strategies. The dissatisfaction expressed
by network members and the election of a more
business-oriented board of directors solved
the tension between technology-driven longterm targets and business-driven short-term
goals in favour of the latter. At the time of our
interviews, the consortium was again exposed
to the contrast between the exploration of longterm strategies and the exploitation of existing
business opportunities. However, thanks to the
accumulated experience, the board of directors
is aware of the need to adopt an incremental and
progressive approach in redefining the targets
of the consortium, as an unbalance between
long-term strategic goals and short-term business targets may compromise the consortium
performance.
concluSIon
The examined case study provides qualitative
insight about learning processes in an ICT business consortium where entrepreneurial SMEs
cooperate to gain economies of scale, increase
their productive capacity and integrate their
technologies to win contracts from the local PA.
Alpha consortium shows that learning
about networking is an effective enabler
of learning by networking. The continuous
interaction between relational capital and collaborative know-how, mediated by individual
experience, sketches the path along which each
partner learns how to cooperate in the network.
Mutual knowledge, trust, shared routines and
positive past cooperative experience stimulate
the members of Alpha consortium to explore
new technical solutions within and beyond the
borders of the consortium mission.
This case study suggests that both sources
of tension and balance points depend on the
specific learning paths which take place in a
network. The capability to deal with conflict
management represents an outcome of learning
about networking. The effective management of
competitive pushes in Alpha consortium follows
from the integrative method adopted by the
board of directors, who leverage on their deep
knowledge of partners’ goals and competences,
as well as on intense two-way communication.
The rigidity of the consortium mission (participation in calls for tender for the local PA) and
the clear definition of the routines to allocate
contracts among network members have been
sided by the complementary development of
informal routines and practices to face unexpected events. The balance between short term
goals –current business with the local PA– and
long term goals –growth based on innovative
products for the private sector– is driven by
the awareness that the collaborative know-how
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80 International Journal of Human Capital and Information Technology Professionals, 2(1), 70-83, January-March 2011
to support new challenges will progressively
emerge as partners experience and metabolise
new opportunities, needs and interaction modes.
Only after seven years of cooperation the
members of Alpha have started to debate learning by networking and innovation as explicit
goals of the consortium. However, network
participants are aware that, due to the contingent
nature of their learning about networking, the
existing collaborative know-how is not apt to
support successful processes of learning by
doing focused on innovation. A new business
strategy would require a new round of learning
about networking, which should cope with the
existing routines developed for cooperating in
contracts for the local PA.
This study has unveiled some of the complex relationships among the building blocks of
learning about networking in a consortium of
small firms, as well as their links with learning
by networking. The success of Alpha consortium
demonstrates that SMEs inter-organisational cooperative relationships are a means to overcome
technical and dimensional limits. Nevertheless,
benefits can be achieved only after firms engage
in learning alliance management capabilities. In
addition, the case study confirms the key-role
played by a supportive institutional environment
and the crucial role of the governance body
of the network in building up and supporting
collective relational capital.
The case study remarks that networking
can be a solution for small ICT firms to compete against larger companies. Yet, successful
cooperation requires IT entrepreneurs and professionals to develop a growing range of non-IT
skills. When engaging in cooperative agreements, IT entrepreneurs should be aware that
expected benefits depend on the development of
specific alliance managerial and soft skills such
as the ability to communicate, mediate tensions,
and match resources. Those skills are seldom
acquired in the education system. They rather
develop from learning-by-doing and internalisation of previous cooperative experience. The
analysed case study suggests that third-party
brokers, such as local trade associations or
alliance management specialists, can provide
significant support to IT entrepreneurs at their
first networking experience, especially at the
stat up of a cooperative agreement. In addition,
the case of Alpha consortium highlights how
learning paths drive the evolution of inter-firm
alliances. Joint innovation becomes possible
only when partners learn how to cooperate and
mutual trust develops in the network. In a similar
way, also cooperation in joint job orders requires
a significant amount of relational capital and
collaborative know how. Consequently, joint
innovation and joint exploration of new markets
should not be short-term goals of successful
networks of small IT firms.
More work is still needed in order to deepen
and validate our preliminary results. The analysis of Alpha consortium only partially highlights
which mechanisms actually encourage learning
about networking and learning by networking.
An additional area of future research concerns
the actors who most contribute to such learning processes.
AcKnowlEdgmEnt
We thank Hélena Lopez for useful comments
on a previous version of this paper. We are also
grateful to the president and all the members of
the Alpha Consortium. Financial support from
FIRB-NEP4B and FIRB-RISC research grants
is gratefully acknowledged.
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EndnotES
1
2
3
4
5
“There is a growing consensus in the literature
that learning can be behavioural and cognitive, exogenous and endogenous, methodical
and emergent, incremental or radical, and can
occur at various levels in an organization”
(Bapuji & Crossan, 2004: 400). In addition,
important learning processes have been identified among networked organisations (Knight,
2002).
“What can be learned is crucially affected by
what is already known” (Powell et al., 1996:
119).
Longitudinal case studies allow to carry out
process-oriented empirical research by tracing
operational links among variables over time
(Yin, 1994).
The political willingness to leverage on public
investment as a trigger to the development
of a local market for advanced ICT services
is clearly stated by the provincial E-Society
Programme launched in 2004.
Nevertheless, very high distance in cultural
background and technical know-how turns
coordination a challenging task (Pittaway et
al., 2004).
After completing her PhD in 2008, Valentina Morandi is research fellow at DIMI-University of
Brescia (Italy). Her research interests focus on strategic alliances, inter-organizational cooperative agreements, R&D cooperation, R&D processes and technology transfer.
Francesca Sgobbi completed her PhD in Industrial Engineering in 1997. She is Associate Professor at DIMI-University of Brescia (Italy). Her research interests concern techno-organisational
change, competence assessment, and economics of education.
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84 International Journal of Human Capital and Information Technology Professionals, 2(1), 84-102, January-March 2011
facades of Attractive Employer
in Indian It Industry:
Existing Employee Perspective
R. Saraswathy, National Institute of Technology, India
N. Thamaraiselvan, National Institute of Technology, India
B. Senthilarasu, National Institute of Technology, India
M. Sivagnanasundaram, National Institute of Technology, India
AbStrAct
Despite advances in technology and major shifts in economy, people remain an organizations most valuable
resource. Human capital and intellectual assets make a difference to the competitive advantage of the irm in
a knowledge based industry. Employer Attractiveness (EA) is the prerequisite to attract and retain superior
quality talent. Employer attractiveness can be deined as the envisioned beneits that a potential employee sees
in working for a speciic organization. This study empirically examines the elements of employer attractiveness
in Information Technology (IT) industry from the perspective of current employees and determines the most
attractive employer in the Indian IT industry. Results show that Indian IT employees valued economic factors,
global opportunities, development factors, and application factors. Tata Consultancy Services (TCS) was the
most attractive employer, followed by Infosys, Wipro, Polaris Software Lab and Hexaware.
Keywords:
Application Factor, Corporate Social Responsibility, Development Factor, Economic Factor,
Employer Attractiveness, Interest Factor, Social Factor
IntroductIon
Indian Information Technology (IT) and Information Technology Enabled Services (ITES)
industry has recorded tremendous growth and
is regarded by developing countries the world
over as a model for how they can leapfrog stages
of industrial development. Being knowledge
based industry-the human capital and intellectual assets make a difference to the competitive
DOI: 10.4018/jhcitp.2011010105
advantage of the firm. In the quest for manpower
companies are cajoling talent around the world.
Global expansion in market opportunities in
the IT sector, the shortage in manpower in both
numbers and skills has resulted in a seller’s
market. So human resource teams are pressurized to devise, optimize compensation packages,
and provide opportunities for growth, learning
and development and to make employee value
proposition lucrative. The internal marketing
concept argues that the organisation’s personnel
are the first market of any company (George &
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is prohibited.
International Journal of Human Capital and Information Technology Professionals, 2(1), 84-102, January-March 2011 85
Gronroos, 1989; George, 1990); the underlying principle is that jobs are internal products
and employees are the internal customers. Job
products must not only attract, develop and
motivate employees, but also satisfy the needs
and wants of internal customers in addition
to catering to the overall objectives of the
organization (Berry & Parasuraman, 1991).
Technological advances and global competition are creating the contest among employers
to attract and retain talented workers resulting
in widespread change in employment patterns
(Osborn-Jones, 2001).
Thus, employer branding is likely to assume
greater substance in India in the years to come
as it is one of the available panacea. It helps
build a brand recall and quick identification of
the company in the minds of its target audience.
For an Employer brand to be successful it is
essential to know the factors that contribute to
employer attractiveness. It comprises an imperative idea in information intensive contexts
where attracting employees with superior skills
and knowledge tunes the competitive edge of a
company. In India, getting the right people to
work has always been a challenge and employer
branding and marketing will play the key differentiating factor. Some apt examples would
be Accenture, HCL and Indian Army SSC. Accenture had relatively been an obscure brand in
India; Accenture with Tiger Woods has been a
winning combination portraying Accenture as
a great place to work. In the case of HCL, it
was lost among the IT biggies of India such as
Infosys, TCS and Wipro. Its TV commercials
were well crafted to showcase the HCL brand
as an employer to the target audience.
The article is structured as follows: This
paper begins by giving an overview of IT industry in India. The next section presents the
literature review; we then introduce and define
the concept of employer attractiveness and the
methodology used is elaborated. Implications
of the approach are then considered, limitations
noted and future research direction outlined
and closes with a conclusion.
overview
Information Technology (IT) industry has
definitely been one of the primary drivers in
shaping India as the one of the emerging economic superpowers. The Indian IT recorded
revenues of US$ 60 billion in fiscal 2009-2010,
registering a 25% growth. The IT industry has
been performing at a staggering rate of growth
of about 50 per cent every year and has sustained global competition. The sector can be
classified into 4 broad categories - IT Services,
Engineering Services, ITES-BPO Services,
and E- Business. Along with abundant growth
opportunities, IT sector is one of the highest
paying sectors. There is a tremendous demand
for trained personnel in IT sector. According
to the NASSCOM-McKinsey report, by the
end of 2010 the Indian IT and BPO services
industry would directly employ approximately
2.3 million people, besides providing indirect
employment to another 6.5 million workers,
According to a National Association of
Software and Services Companies (NASSCOM) report, ‘Strategic Review 2009’ direct
employment is expected to be about $1.9 million in the Indian IT industry. The IT industry is
currently facing a dearth of talent. Engineers are
in high demand in the sector as most of the jobs
require extensive mathematical skills as well as
logical and analytical abilities. However, most
technical people lack good soft skills, and verbal
and written communication skills. An aspirant
in the industry who has a combination of both
these sets of skills can find himself or herself
in an advantageous position even at entry level.
The two most important IT professionals skills
mentioned were: business knowledge and user
support. (Trigo et al., 2010). Competencies such
as capacity for analysis and synthesis, problem
solving, creativity and ability to work autonomously are the most valued. The fulfillment
of the profession requires prepared personnel
with first rate intellectual capacities (GarcíaCrespo et al., 2009). The skills and quality of
the workforce needs to be improved as only
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86 International Journal of Human Capital and Information Technology Professionals, 2(1), 84-102, January-March 2011
25 percent of technical graduates are suitable
for employment in the offshore IT industry
in India, while only 10 percent to 15 percent
of general college graduates are suitable for
employment by the BPO industry, according
to McKinsey & Co.
lItErAturE rEVIEw
The War for Talent: is a moniker crafted by
Steven Hankin of McKinsey & Company
in 1997, and a book by Ed Michaels, Helen
Handfield-Jones, and Beth Axelrod, Harvard Business Press. According to a study
by McKinsey & Co the most important
corporate resource over the next 20 years
will be talent: smart, sophisticated people
who are technologically literate, globally
intelligent, and operationally nimble.
Even as the demand for talent goes up,
the supply of it will be going down. The
old reality was people needed companies;
Capital and geography were the competitive advantage. Jobs were scarce, people
accepted standard package that was offered to them and they were vey loyal to
the jobs . In the new economy, competition is global, capital is abundant, ideas
are developed quickly and cheaply, and
people are willing to change jobs often.
In such an environment, all that matters
is talent. “Talent wins”.The new starking
reality is companies need people, talented
people are scarce and better talent makes
a huge differece and talented people serve
as the differentaitor.People are mobile,
their commitment is short term and they
demand much more. For many companies, this means that people are the prime
source of competitive advantage. Talented
people, in the right kind of culture, have
better ideas, execute those ideas better and even develop other people better. In
order to keep the pipeline full of talented
people, almost all of the companies are
resorting to nontraditional approaches to
recruiting and are keen on determining
what makes an employer attractive.
Resource-based view (RBV) suggests that
companies should be defined as a unique
set of tangible and intangible resources,
a portfolio of core competencies and distinct resources and that the characteristics
of a firm’s resources can contribute to sustainable competitive advantage (Barney,
1991). The basis for employer branding
is the assumption that human capital
brings value to the firm and through
skilful investment in human capital, firm
performance can be enhanced (Priem &
Butler, 2001).
Internal Marketing (IM) as defined by Kotler
‘is the task of successfully hiring, training
and motivating able employees to serve
the customer well’.The spirit of internal
marketing according to Bergstrom et al.
(2002) refers to effective communication
of the brand to its employees, reinforcing
the relevance and worth to the employees
and diligently linking every job in the
organisation to delivery of the ‘brand
essence’. As employees are the pivot
of internal branding it is very important
to sell the brand to the employees even
prioir to selling it to the consumers. The
focus of internal branding is the current
employees.
Internal advertising (IA)
Berry (1981) is the first to recognise the potential impact of advertising on (current)
employee., Gilly and Wolfinbarger (1998)
note, marketers today are still overlooking
an important internal or ‘second audience’ - their own employees for their
advertisements. It is vital that companies
make every attempt to make sure that this
influence is positive. Future employees
can be influenced by mainstream advertising (Ewing et al., 2002).
Employer Branding (EB) The name ‘employer
brand’ was coined by Ambler and Barrow
(1996), who defined it as “the package of
functional, economic and psychological
benefits provided by employment and
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International Journal of Human Capital and Information Technology Professionals, 2(1), 84-102, January-March 2011 87
identified with the employing company”.
Employer branding can be described as
the “sum of a company’s efforts to communicate to existing and prospective staff
that it is a desirable place to work” (Lloyd,
2002; Berthon et al., 2005). Thus it has
been described as the company’s image
as seen through the eyes of its associates
and potential hires, closely coupled to the
“employment experience” of what is it like
to work at a company, including tangibles
such as salary and intangibles such as
company culture and values” (Ruch, 2002;
Martin et al., 2005). It is a targeted, longterm strategy to manage the awareness
and perceptions of employees, potential
employees, and related stakeholders with
regards to a particular firm. There are
two perspectives to an employer brand,
the external – this is with regard to how
the outside world perceives the employer
brand and the internal outlook refers to the
employee’s perception of the employer
brand. It covers all associations that both
present and prospective employees have
with an organization How attractive a company’s employment experience is to the
outside world depends a lot on how attractive a company’s employment experience
is to its own employees. It can be a unique
differentiator to project the uniqueness of
the organization. An employer brand gives
information about employment experience and what is expected out of them.
Building a brand is a dual process. One is
for prospective employees and the other
for the current set of employees. While
building brand for prospective employees,
initiatives are targeted at building repute
in potential recruits about the company
as a preferred place to work. On the other
hand, while building brand internally, the
company has to live up to its standards and
incorporate a culture of respect and trust
for employees. In short, branding helps to
make a candidate want to come to work
for a company by selling on whom and
what they are.
Employee Value Proposition (EVP) It is the
reason why a talented person would want
to join and stay with an organization.EVP
is communicated in company actions and
behaviours and evoke both emotive and
rational benefits for both current and
prospective employees. It reflects the
image the organization wants to portray
to its target audience. It helps to differentiate - create a unique employee value
proposition.
Organizational Image Tom (1971) defined
organizational image as “a loose structure
of knowledge, beliefs, and feelings about
an organization”. Previous studies prove
that an organization’s image significantly
influenced the attraction of applicants to
an organization. Applicants were more
attracted to organizations with a more
favorable image (Belt & Paolillo, 1982;
Gatewood, Gowan, & Lautenschlager,
1993; Turban & Greening, 1997) and
preferred employers whose images
corresponded to their own self-images
(Tom, 1971).
Employer Attractiveness (EA) is defined as
the envisioned benefits that a potential
employee sees in working for a specific
organization (Berthon et al., 2005). The
image of an employing organization and
discernments formed based on available
information relating to the organization
influence initial job choice decisions
(Gatewood et al., 1993). EA is the degree to which an applicant has interest
in pursuing employment opportunities
with an organization (Cable & Judge,
1994; Rau & Hyland, 2002; Schwoerer
& Rosen, 1989). Employer Attractiveness
is interrelated to the concept of ‘employer
branding’. This idea has been dealt in the
areas of vocational behavior (Soutar &
Clarke, 1983), management (Gatewood
et al., 1993), applied psychology (Jurgensen, 1978; Collins & Stevens, 2002),
communication (Bergstrom et al., 2002)
and marketing (Ambler & Barrow, 1996;
Gilly & Wolfinbarger, 1998; Ambler,
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88 International Journal of Human Capital and Information Technology Professionals, 2(1), 84-102, January-March 2011
2000; Ewing et al., 2002). It has also
become the in thing in contemporary
business press (Sherry, 2000; Lloyd,
2002; Ritson, 2002), and ‘Best Employer’
status is something that companies
die to acquire, as attention is drawn to
this shroud in both the contemporary
electronic and print media. Initial job
choice decisions are often related to the
image of the employing organization,
and these perceptions are based upon the
information about the organization which
is available to job seekers (Gatewood
et al., 1993). Age, values, gender, work
experience, education level, job offers
extended and organizational effectiveness
are some of the factors that have been
used as control variables in examining
employer attractiveness (Judge & Bretz,
1992). Respondent selects organization
that seems to share similar values (Schneider, 1987; Tom, 1971). An applicant’s
intent to apply, attend interview and accept
job offers is influenced by business performance, relationship with environment
and treatment of minorities (Greening &
Turban, 2000). EA has been studied in the
context of recruiting and also a tool for
retention. Various studies have been conducted wherein EA has been discussed as
a dependant variable in relation to Corporate Social Responsibility (CSR) (Koys,
2001). A study by Schmidt Albinger &
Freeman (2008) indicates that Corporate
Social Performance (CSP) is positively
related to employer attractiveness for job
seekers with high level of job choice.
Employer attractiveness can be classified
as internal and external employer attractiveness. Internal employer attractiveness
is the degree of attractiveness among the
company’s current employees (Figure 1).
Attractiveness in the eyes of prospective employees is the external employer attractiveness.
This branch can be further subdivided into two
categories. First, we have external employer
attractiveness from the viewpoint of experts
with experience in the field. Second, we have
external employer attractiveness from the
viewpoint of novices, predominantly students.
Novices do not posses expert knowledge, but
on the other hand, they bring certain other useful characteristics. The construct employer
attractiveness may be thought of as an antecedent of the more general concept of employer
Figure 1. Components of employer attractiveness
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International Journal of Human Capital and Information Technology Professionals, 2(1), 84-102, January-March 2011 89
brand equity. The stronger organizations employer brand equity relatively strong is the
perception of attractiveness of the organization
held by the potential employees (Berthon et al.,
2005). have identified five factors as the components of employer attractiveness from the
perspective of potential employees. The five
factors are: Interest Value, Social Value, Economic Value, Development Value, and Application Value. Interest value refers to an exciting
work environment, novel work practices that
makes use of its employee’s creativity to produce
high-quality, innovative products and services.
Social value talks about a working environment
that is fun, happy, provides good collegial relationships and a team atmosphere. An organization’s working environment is the social
value. Above-average salary, compensation
package, job security and promotional opportunities put together are the economic value.
Development value appraises the extent to
which an individual is attracted to an employer that provides recognition, self-worth and
confidence, combined with a career-enhancing
experience and a springboard to future employment. Application value measures the extent to
which an individual is attracted to an employer that provides an opportunity for the
employee to apply what they have learned. This
study seeks to contribute by identifying and
operationalising dimensions of employer attractiveness. We have suggested Global opportunities as another interesting factor which
enhances the attractiveness of an employer
taking into consideration the mindset of Indian
IT employees.
mEthodology
The objective of this study was to measure the
importance of different factors that contribute
to employer attractiveness of IT firms among
existing employees and to adjudge the best employer in the IT sector. Information Technology
is the fastest growing sector of India, a sunrise
industry. The total addressable market for global
off shoring is approximately $300 billion, of
which $110 billion will be offshore by 2010,
BFSI vertical accounts for the largest share of
export at 31%.BFSI sector includes banks, stock
markets, hedge and mutual funds, insurance and
mortgage companies, stock trading houses and
Non-Banking Financial Institutions (NBFCs).
The BFSI segment is highly specialized. Expertise in this domain requires years to build.
So, it makes considerable sense to acquire a
company and greatly reduce time to market.
It helps in reducing turnaround time by 2 to
3 years. The Banking, Financial Services and
Insurance (BFSI) IT services market in India is
expected to grow from $1.6 billion in 2009 to
$2.7 billion in 2013, growing at a CAGR of 14.2
per cent, according to Springboard Research.
To represent reality we have chosen top 3 IT
companies (TCS, Infosys, Wipro) and two
mediocre IT companies (Polaris, Hexaware) of
Indian origin. Current employees, were chosen
as subrogates to find out the most attractive IT
employer.
Our seven-factor structure is essentially a
refinement and extension of the three dimensions proposed by Ambler and Barrow (1996)
and 5 factors proposed by Pierre Berthon, Michael Ewing, and Li Lian Hah (2005). Factors
1 (Interest value) and 2 (Social value) capture
their ‘psychological benefits’; our Factors 4
(Development value) Factor 5 (Application
value) and factor 6 (Global opportunities expand
on their ‘functional benefits’; and Factor 3 has
an economic dimension. Factor 1,named as
‘Interest value’, gauges the degree to which an
individual is attracted to an organization that is
interesting in terms of work environment and
calls for the use of employee’s ingenuity to
produce ground-breaking products and services.
Factor 2, named as ‘Social value’, measures
the extent to which an individual is attracted
to an employer who caters to the fulfillment of
the sense of belongingness. Factor 3, named as
‘Economic value’, refers to an organization’s
capacity to take of the physiological and security
needs by providing a competitive employment
package. Factor 4, tagged as ‘Development
value’, refers to the fulfillment of higher order
needs esteem and self worth need combined
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90 International Journal of Human Capital and Information Technology Professionals, 2(1), 84-102, January-March 2011
with a career-enhancing experience. Factor
5, named as ‘Application value’, assesses the
extent to which an organization provides an
opportunity for the employee to apply what
they have learned for self and others. Finally
we have proposed Factor 6, named as Global
Opportunities which purports to measure world
class training, right from the initial years as well
as an opportunity to work across domains and
geographies. Factor 7 Corporate Social Responsibility (CSR) - refers to a company’s voluntary
activities “demonstrating the inclusion of social
and environmental concerns in business operations and the interaction of stakeholders” (Van
Marrewijk & Werre, 2003).
The Analytic Hierarchy Process (AHP)
is a mathematically scrupulous, proven process
for prioritization and decision-making. The AHP
was developed at the Wharton School of Business by Thomas Saaty, allows a decision maker
to model a complex problem in a hierarchical
structure showing the relationships of the goal,
objectives (criteria), sub-objectives, and alternatives. By reducing complex decisions to a series
of pair-wise comparisons, then synthesizing
the results, decision-makers arrive at the best
decision with a clear rationale for that decision.
Uncertainties and other influencing factors can
also be included. It is a method to derive ratio
scales from paired comparisons. The input can
be obtained from actual measurement or from
subjective opinion. AHP allows some small
inconsistency in judgment because human is
not always consistent. The AHP technique is
extensively used in modeling the human judgment process (Lee et al., 1995). AHP is based
on three axioms. Reciprocal axiom, necessitates
that, if PC(EA,EB) is a paired comparison of
elements A and B with respect to their parent,
element C, representing how many times more
the element A possesses a property than does
element B, then PC(EB,EA) = 1/PC(EA,EB).
For example, if A is 5 times larger than B, then
B is one fifth as large as A. Homogeneity axiom,
affirms that the elements being compared should
not differ by too much, else there will tend to be
larger errors in judgment. When constructing a
hierarchy of objectives, one should attempt to
arrange elements in a cluster so that they do not
differ by more than an order of magnitude. (The
AHP verbal scale ranges from 1 to 9, or about
an order of magnitude.)The third axiom states
that judgments about, or the priorities of, the
elements in a hierarchy do not depend on lower
level elements. This axiom is required for the
principle of hierarchic composition to apply.
AHP has three main steps (Saaty 1994)
decomposition, comparative judgments, and
hierarchic composition or synthesis of priorities. Problem decomposition: A complex
problem is decomposed into levels consisting
of a few manageable elements; each element
is also, in turn, decomposed hierarchically in
lower decision levels. The hierarchy model of
the decision problem is developed in such a
way that the goal is positioned at the top, with
criteria in the middle and alternatives at the
bottom of the model. Comparative analysis:
On each hierarchy structure level the pair wise
comparisons should be done by all possible
pairs of the elements of this level. The decision
maker’s preferences are expressed by verbally
described intensities and the corresponding
numeric values on 1-3-5-7-9 scale (Table 1)
(Saaty, 1980).
Synthesis of priorities: On the basis of the pair
wise comparisons relative significance
(weights) of elements of the hierarchy
structure (criteria and alternatives) are
calculated, which are eventually synthesized into an overall alternatives priority
list. The priority weights of each element
will be calculated based on Eigen vector.
Saaty (1980) proposed a measure of the
inconsistency in judgments’, called the
consistency Index (CI), that is given by
CI = (λmax-n)/ (n-1) where max λ is the
principal eigenvalue of the judgement
matrix and n is its order. When the reciprocal comparison matrix is consistent,
λmax = n, and the CI is equal to zero;
Otherwise, its value is positive. To overcome the CR =CI/RI (n) order dependency of the CI, Saaty also proposed a
normalized measure, called the CR,
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International Journal of Human Capital and Information Technology Professionals, 2(1), 84-102, January-March 2011 91
Table 1. Saaty’s scale
Intensity
Definition
Explanation
1
Equal importance
Two factors contribute equally to the objective
3
Moderate importance of one
over another
Experience and judgment favor one factor over another
5
Essential or strong importance
Experience and judgment strongly Favor one factor over another
Very strong importance
An factor is strongly favored and its dominance demonstrated in
practice
Extreme importance
The evidence of favoring one factor over another is of the highest
possible order of affirmation
7
9
Saaty (1994) proposed a 10% threshold
for the CR (thresholds of CR are 5% and
8% for the 3 by 3 and 4 by 4 matrices,
respectively). When the CR is greater
than 10%, then, in order to improve the
consistency, most inconsistency judgments are usually modified to narrow
down difference between aij and i/j to
obtain a better consistency (Aguarón &
Moreno-Jiménez, 2003). However, if the
higher CR is because of expert’s extreme
but consistent pair wise judgment, then
the CR value is acceptable and valid for
further quantitative analysis, even if it is
greater than 10% (Fordman, 2001).
Application of the AhP model
Basic rules for modeling and solving the hierarchical problem involved four stages such as
Structuring: This phase involved formulating
an appropriate hierarchy of the AHP model
consisting of the goal, criteria, sub criteria and
the decision alternatives;
Data collection: This involved forming a team
of evaluators who assigned pair wise
comparisons to the major criteria and
sub criteria used in the AHP hierarchy.
Normalized weights in different hierarchies:
The pair wise comparison judgment matrices were combined using the geometric
mean approach at each hierarchy level
to obtain the corresponding consensus
pair wise comparison judgment matrices.
Synthesis: The final step for this study was to
synthesize the solution for judging the
most attractive employer.
Goal
The goal is a statement of the overall objective.
In our case, to find out the most attractive
employer.
objectives
What are the factors that are considered in
selecting the best employer? Factors contributing to employer Attractiveness (criteria) were
determined based on the existing literature
(Ewing & Berthon, 2005)
Alternatives
Here we consider the 5 Indian IT companies
in the finance vertical (BFSI, Banking, Financial Services and Insurance.) were taken into
consideration. TCS, Infosys, Wipro 3 topmost
Indian based IT companies and Polaris Software
lab and Hexaware mediocre companies were
chosen to represent a slice of Indian IT reality.
calculation of the weights
of the criteria
First the degree of preference between and
within the criteria at each level of the hierarchy
in a pair wise form using Saaty’s scales ranging
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92 International Journal of Human Capital and Information Technology Professionals, 2(1), 84-102, January-March 2011
from 1 – equally preferred to 9 – extremely
preferred was obtained from 5 experts. Next step
involved the weight calculation of each level
to obtain the overall score of each employer
with respect to the 7 pair wise comparisons of
the main selection criteria. Consistency ratio
calculation was done (Table 2).
Consistency Index (CI)
Consistency Index calculation for the factors
CI = (7.55716-7)/6 =.09286
CR = .09286/1.32=.0703484
Consistency Index (CI) calculation for the
companies
CI = (5.3739-5)/ (5-1) CI = 0.093486
CR = 0.0934864/1.12 = 0.08347
If the value of Consistency Ratio is smaller or
equal to 10%, the inconsistency is acceptable.
If the Consistency Ratio is greater than 10%,
we need to revise the subjective judgment. As
0.08347 and .0703484 is less is less than 0 .1
the judgment is consistent (Figure 2).
Based on the vector values for factors
determining the employer attractiveness (Table
3) the Indian IT employees valued economic
factors, global opportunities, development factors and application factors relatively more than
interesting job environment, social factors or
Corporate Social Responsibility. So in order to
be an attractive employer companies need to
take care and make sure that they have right
mix of economic factors, development factors,
application factors and should also provide
room for global opportunities to make the
employee employable across platforms and
geographical boundaries.
Based on the vector values in (Table4) we
came to know that Tata Consultancy Services
(TCS) was the most attractive employer, followed by Infosys, Wipro, Polaris Software Lab
and Hexaware.
In Table 5 we are taking into consideration
the factors enhancing attractiveness in conjunction with the companies. This helps us to judge
how each company is faring with respect to the
factors. TCS has scored high on economic factors, social factor, application, development
and global opportunities factor and CSR. Infosys has an interesting work environment. The
TCS brand as an employer embodies the tremendous opportunities. These include world
class training, right from the initial years as
well as an opportunity to work across technology platforms, domains and geographies. Their
reward and recognition program is perceived
a unique mix of monetary and nonmonetary
rewards. Hence TCS has scored high on most
of the factors. To potential hires as well as for
existing employees the employee experience
is consistent with the psychological contract.
Apart from the brand equity, an unchallenged territory for Infosys, some of the other
reasons that make it an all-time favorite as an
employer of choice are the learning culture in
the organization and the kind of exposure that
employees get from projects. To facilitate employee growth, Infosys focuses on strengthening domain and technical competencies.
ImPlIcAtIonS
Organizations that can attract the best minds
will have a distinct edge in the marketplace
(Harari, 1998). Employer branding is one of the
vital tools to attract new employees and retain
Table 2. Random Consistency Index (RI)
n
1
2
3
4
5
6
7
8
9
10
RI
0
0
0.58
0.9
1.12
1.24
1.32
1.41
1.45
1.49
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International Journal of Human Capital and Information Technology Professionals, 2(1), 84-102, January-March 2011 93
Figure 2. Hierarchy of decision criteria
existing staff. This can be done effectively once
organizations understand the factors contributing towards employer attractiveness. Only
when organizations work towards integrating
economic, development, application and global
opportunities factors into the employment value
proposition they can hope to successfully rope in
competent prospective employees in the Indian
IT industry. Creating a unique trade name for an
employer helps position the company as an employer of choice. It acts as a tool and opportunity
to tell apart a company from its competition. It
is a vital strategic driver. It furnishes the organization with a competitive lead and acts as an
instrument to magnetize, engage, and retain the
“right fit.” Top notch human-capital practices
produce greater shareholder worth at companies
around the world. The present study has identified the dimensions of employer attractiveness
like economic, development, application and
global opportunities as the components that
contribute to employment brand value in the
Indian IT scenario.
Being an employer of choice provides
companies with a competitive advantage in attracting and retaining employees. Employers of
choice have distinctive qualities that influence
future employees, for instance, in a way that
they accept a job offer and current employees
to stay. To existing employees working for
a best employer signals congruence with the
employment deal expectations. A strong employer brand confirms what a powerful means
of differentiation an employer branding can
be. Employees will choose best company over
others and choose to dedicate themselves to
the success if that company measures up in
their eyes. It can be thus be concluded that a
remarkable reputation, perception and image in
the job market builds on both the attractiveness
in factors that are of fundamental importance
to high performers as well as elaborate efforts,
which make this attractiveness visible in the
job market to potential and existing employees.
This study has identified that the remuneration
offered is undoubtedly a key factor, but it is
not money in itself, but the fact that a higher
package means greater respect in the eyes of
ones peers that ultimately decides the choice
of job that an employee makes.
Talent, today, is very mobile. India, once
a major exporter of unskilled manpower, has
evolved to one that is a source of highly-skilled
expertise. Work in any high-tech area requires
the very best talent. This implies putting together
teams that comprise the best experts, irrespective
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94 International Journal of Human Capital and Information Technology Professionals, 2(1), 84-102, January-March 2011
Table 3. Priority Vector for the Factors determining employer attractiveness
Factors
Priority Vectors
Economic
.360540677
Social
.096999731
Interest
.032002774
Application
.119045579
Development
.161984752
Global
.181983323
CSR
.047443164
Table 4. Most attractive company
Company
Priority Vector
TCS
.350234
Infosys
.301342
Wipro
.230143
Polaris
.114621
Hexaware
.101123
Table 5: Priority vectors for companies and factors
Factors
TCS
Infosys
Wipro
Polaris
Hexaware
Economic
0.402819496
0.360231588
0.134350441
0.067777667
0.034820809
Social
0.302819496
0.30231588
0.134350441
0.167777667
0.134820809
Interest
0.302819496
0.360231588
0.234350441
0.067777667
0.034820809
Application
0.402819496
0.260231588
0.234350441
0.077777667
0.054820809
Development
0.3402819496
0.296023158
0.2434350441
0.1067777667
0.12034561
Global
0.402819496
0.260231588
0.134350441
0.067777667
0.034820809
CSR
0.292819496
0.280231588
0.134350441
0.22776712
0.08124312
of their nationality. Companies do this in different ways; one is by setting up centers in various
countries (thus tapping talent wherever it is) and
connecting them through communication links
and collaborative work platforms, so as to create a seamless “global” team, virtually. Global
Opportunities factor identified by this study is
very useful for human resource practioner. This
factor is one of the main motivating factors which
existing employees keenly look forward to. Those
who have worked across domains and geographies have an edge over the other employees.
They will be more portable, redployable and can
easily fit into talent and leadership pipeline. In
order to entice top talent it is essential to incorporate global opportunities into the employment
experience as this serves as a bridge to enhance
remuneration, develop oneself and also help to
groom oneself to assume leadership positions.
It also serves as an exciting and novel practice.
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International Journal of Human Capital and Information Technology Professionals, 2(1), 84-102, January-March 2011 95
The shortage of high quality talent can be
offset by investing substantially in the learning
and development function to ensure that even
if the best didn’t join them, the second best
did and were adequately trained to deliver up
to the required levels. The retention of keyemployees is assured by means of development
opportunities. Career development should be
considered as a central factor for employee
recruitment and retention (Ans De Vos & Annelies Meganck, 2009).
The possibility to grow within the
company or to switch function is regarded
as the major element within the Employer
Branding strategy to prevent key employees
from leaving. Application factors add flavor
to work environment. This factor freshens
up the spirit and mind of the employees. For
practicing managers this insight is very useful.
The factors suggested can be used as tool to
improve the morale and engagement level of
the employees. This study has thus helped us
to focus on the factors which are of importance
to existing employees.
Being an employer of choice provides
companies with a competitive advantage in
attracting and retaining employees. Employer
of choice have distinctive qualities that influence future employees, for instance, in a way
that they accept a job offer and make current
employees to stay. To existing employees,
working for a best employer signals congruence with the employment deal expectations.
It helps employers to stand out in the clutter;
thereby employees will choose best company
over others and choose to dedicate themselves
to the success if that company measures up in
their eyes. It can be thus be concluded that a
remarkable reputation, perception and image in
the job market builds on both the attractiveness
in factors that are of fundamental importance
to high performers as well as elaborate efforts, which make this attractiveness visible
in the job market to potential and existing
employees. The study provides a foundation
to further identify and refine antecedents and
consequences of employer brand equity.
SuggEStIonS for
futurE rESEArch
This study could be extended further by including all IT companies to get a snapshot of the
ingredients of the best employer in the Indian
IT scenario. Organizations are constantly endeavouring to recruit the best talent from all
over the world .Thus; they need to understand
the impact of different cultures and nationalities
on the perception of employer attractiveness.
Likewise impact of advertisement on employer
attractiveness could be explored. This study
provides a foundation to emphasis the impact
of employer attractiveness on employer branding, future studies could try to further identify
and refine antecedents and consequences of
employer brand equity. An empirical model
could be developed to relate employer attractiveness and employer brand equity. Employer
attractiveness can be classified as internal and
external employer attractiveness.
Internal employer attractiveness is the
degree of attractiveness among the company’s
current employees. Attractiveness in the eyes
of prospective employees is the external employer attractiveness. We have studied internal
employer attractiveness. To get a holistic view,
potential employee perspective of employer attractiveness could also be gauged. The model
could be analysed using Structural Equation
Modeling. The study could also be carried out
in other service industries like travel, hospitality
and Information Technology industries. Since
this only a snapshot of current state of affairs,
this study can be carried out again to check
the elements of employer attractiveness of the
employee mindset in an ever-changing IT world.
concluSIon
Attracting knowledge workers is recognised as a
critical success factor by organisations. In order
to succeed in the war for talent many organisations realise they need to brand themselves as
employers of choice. This research established
the factors knowledge workers regard as impor-
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96 International Journal of Human Capital and Information Technology Professionals, 2(1), 84-102, January-March 2011
tant. We have attempted to study the elements
that constitute employer attractiveness and tried
to adjudge the best employer from the perspective of existing employee. Employer attractiveness is a building block of employer brand and
this is one of the solutions to tackle the ever
present predicament of employable top talent.
The coordinated endeavours of practitioners
and researchers from the fields of marketing,
public relations, human resources and general
management will be required to successfully
leverage this critical notion. This research
gained an understanding of what knowledge
workers view as the most important attributes
of their best employer. It is therefore hoped
that the findings of this research, will both
contribute to and stimulate discussion around
the ‘employer attractiveness’ and ‘employer of
choice’ concepts.
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R. Saraswathy AravindaRajah is a fulltime doctoral research scholar in the Department of
Management Studies, NITT. She is a post graduate in management with specialisation in human
resource management and marketing. Her management research currently centers on employer
branding and talent management strategies in IT industries. She is interested in learning about
the human side of Indian Software and ITES Industry. Her work has been presented in national
and international conferences.
Thamaraiselvan Natarajan has been involved in research, consultancy and training in the area
of brand management, marketing metrics, services marketing and strategic marketing. He was
awarded doctoral degree and MBA from National Institute of Technology Trichy, India. He has
published various empirical papers in journals and awarded best paper (national & international) for his empirical research on brand extension in International Conference on Business
and Information 2006 held in Singapore. He is presently working as an associate professor in
National Institute of Technology Tiruchirappalli, India. He also serves as Research Supervisor
for doctoral candidates in the area of Marketing & Human Resource Management.
Senthil Arasu Balasubramanain teaches and writes in the area of Behavioural Finance, Fundamental and Technical Analysis, Indian Capital Market, International Trade Finance and
Documentation. His doctoral thesis was in Share Price Behaviour and Market Efficiency in NSE,
India - A Spectral Analysis of Random Walk Hypothesis. He is currently involved in research
and consultancy in the area of stock market efficiency, investor behavior, and Equity Research
and Risk management. He has a doctoral degree from Madurai Kamaraj University Madurai,
India. He is presently working as an assistant professor in National Institute of Technology
Tiruchirappalli, India and is also guiding doctoral research candidates in the area of finance.
Sivagnanasundaram Manickavasagam is currently pursuing his doctoral programme in National
Institute of Technology, Tiruchirappalli, India. His graduation was in engineering and post
graduation was in management specializing in marketing. He is working in the area of Services
marketing. His work has been presented in various international and national conferences.
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is prohibited.
98 International Journal of Human Capital and Information Technology Professionals, 2(1), 84-102, January-March 2011
APPEndIx: QuEStIonnAIrE
national Institute of technology tamilnadu department of
management Studies Employer Attractiveness Survey
Research Scholar: R.Saraswathy
Research Supervisor: Dr.N.Thamaraiselvan
We are conducting a research on employer attractiveness. We wish to know your valuable opinion
about employers. All information will be treated in strict confidence and results will be produced
in the form of aggregate data only. Thank you very much for your time and stay at your disposal
for any further questions you might have.
Please let us know which company you feel is more attractive with regard to the listed values and also indicate your degree of preference for that company in comparison with the other.
For e.g. If you feel TCS is more attractive than Infosys with regard to economic value then
please indicate a number between 1 to 9 on the left side.
While if you favor Infosys more than TCS then please indicate your choice from1 to 9 on
the right side.
Box 1.
↓
TCS 9 – 7 – 5 – 3 – 1 – 3 – 5 – 7 – 9 Infosys
Box 2.
↓
Infosys 9 – 7 – 5 – 3 – 1 – 3 – 5 – 7 – 9 TCS
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is prohibited.
International Journal of Human Capital and Information Technology Professionals, 2(1), 84-102, January-March 2011 99
Box 3.
Intensity
Definition
1
Equal importance
3
Moderate importance of one over another
5
Essential or strong importance
7
Very strong importance
9
Extreme importance
I. Box 4. I. Economic value in a company indicates above-average salary, compensation package, job security and promotional opportunities provided by that organization.
1
TCS
9–7–5–3–1–3–5–7–9
Infosys
2
TCS
9–7–5–3–1–3–5–7–9
Wipro
3
TCS
9–7–5–3–1–3–5–7–9
Polaris
4
TCS
9–7–5–3–1–3–5–7–9
Hexaware
5
Infosys
9–7–5–3–1–3–5–7–9
Wipro
6
Infosys
9–7–5–3–1–3–5–7–9
Polaris
7
Infosys
9–7–5–3–1–3–5–7–9
Hexaware
8
Wipro
9–7–5–3–1–3–5–7–9
Polaris
9
Wipro
9–7–5–3–1–3–5–7–9
Hexaware
10
Polaris
9–7–5–3–1–3–5–7–9
Hexaware
Box 5. II. Social value in a company talks about the organizational climate a working environment that is fun, happy, provides good collegial relationships and a team atmosphere.
1
TCS
9–7–5–3–1–3–5–7–9
Infosys
2
TCS
9–7–5–3–1–3–5–7–9
Wipro
3
TCS
9–7–5–3–1–3–5–7–9
Polaris
4
TCS
9–7–5–3–1–3–5–7–9
Hexaware
5
Infosys
9–7–5–3–1–3–5–7–9
Wipro
6
Infosys
9–7–5–3–1–3–5–7–9
Polaris
7
Infosys
9–7–5–3–1–3–5–7–9
Hexaware
8
Wipro
9–7–5–3–1–3–5–7–9
Polaris
9
Wipro
9–7–5–3–1–3–5–7–9
Hexaware
10
Polaris
9–7–5–3–1–3–5–7–9
Hexaware
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is prohibited.
100 International Journal of Human Capital and Information Technology Professionals, 2(1), 84-102, January-March 2011
Box 6. III. Interest value in a company refers to an exciting work environment, novel work
practices that makes use of its employee’s creativity to produce high-quality, innovative products
and services.
1
TCS
9–7–5–3–1–3–5–7–9
Infosys
2
TCS
9–7–5–3–1–3–5–7–9
Wipro
3
TCS
9–7–5–3–1–3–5–7–9
Polaris
4
TCS
9–7–5–3–1–3–5–7–9
Hexaware
5
Infosys
9–7–5–3–1–3–5–7–9
Wipro
6
Infosys
9–7–5–3–1–3–5–7–9
Polaris
7
Infosys
9–7–5–3–1–3–5–7–9
Hexaware
8
Wipro
9–7–5–3–1–3–5–7–9
Polaris
9
Wipro
9–7–5–3–1–3–5–7–9
Hexaware
10
Polaris
9–7–5–3–1–3–5–7–9
Hexaware
Box 7. IV. Development value in a company appraises the extent to which an individual is attracted to an employer that provides recognition, self-worth and confidence, combined with a
career-enhancing experience and a springboard to future employment elsewhere.
1
TCS
9–7–5–3–1–3–5–7–9
Infosys
2
TCS
9–7–5–3–1–3–5–7–9
Wipro
3
TCS
9–7–5–3–1–3–5–7–9
Polaris
4
TCS
9–7–5–3–1–3–5–7–9
Hexaware
5
Infosys
9–7–5–3–1–3–5–7–9
Wipro
6
Infosys
9–7–5–3–1–3–5–7–9
Polaris
7
Infosys
9–7–5–3–1–3–5–7–9
Hexaware
8
Wipro
9–7–5–3–1–3–5–7–9
Polaris
9
Wipro
9–7–5–3–1–3–5–7–9
Hexaware
10
Polaris
9–7–5–3–1–3–5–7–9
Hexaware
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is prohibited.
International Journal of Human Capital and Information Technology Professionals, 2(1), 84-102, January-March 2011 101
Box 8. V. Application value in a company measures the extent to which an individual is attracted
to an employer that provides an opportunity for the employee to apply what they have learned.
1
TCS
9–7–5–3–1–3–5–7–9
Infosys
2
TCS
9–7–5–3–1–3–5–7–9
Wipro
3
TCS
9–7–5–3–1–3–5–7–9
Polaris
4
TCS
9–7–5–3–1–3–5–7–9
Hexaware
5
Infosys
9–7–5–3–1–3–5–7–9
Wipro
6
Infosys
9–7–5–3–1–3–5–7–9
Polaris
7
Infosys
9–7–5–3–1–3–5–7–9
Hexaware
8
Wipro
9–7–5–3–1–3–5–7–9
Polaris
9
Wipro
9–7–5–3–1–3–5–7–9
Hexaware
10
Polaris
9–7–5–3–1–3–5–7–9
Hexaware
Box 9. VI. Global opportunities in a company measures world class training, right from the initial
years as well as an opportunity to work across domains and geographies.
1
TCS
9–7–5–3–1–3–5–7–9
Infosys
2
TCS
9–7–5–3–1–3–5–7–9
Wipro
3
TCS
9–7–5–3–1–3–5–7–9
Polaris
4
TCS
9–7–5–3–1–3–5–7–9
Hexaware
5
Infosys
9–7–5–3–1–3–5–7–9
Wipro
6
Infosys
9–7–5–3–1–3–5–7–9
Polaris
7
Infosys
9–7–5–3–1–3–5–7–9
Hexaware
8
Wipro
9–7–5–3–1–3–5–7–9
Polaris
9
Wipro
9–7–5–3–1–3–5–7–9
Hexaware
10
Polaris
9–7–5–3–1–3–5–7–9
Hexaware
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is prohibited.
102 International Journal of Human Capital and Information Technology Professionals, 2(1), 84-102, January-March 2011
Box 10. VII. Corporate Social Responsibility (CSR) CSR describes a company’s commitment to
be accountable to its stakeholders. It refers to actions that appear to further some social good
beyond the interest of the firm.
1
TCS
9–7–5–3–1–3–5–7–9
Infosys
2
TCS
9–7–5–3–1–3–5–7–9
Wipro
3
TCS
9–7–5–3–1–3–5–7–9
Polaris
4
TCS
9–7–5–3–1–3–5–7–9
Hexaware
5
Infosys
9–7–5–3–1–3–5–7–9
Wipro
6
Infosys
9–7–5–3–1–3–5–7–9
Polaris
7
Infosys
9–7–5–3–1–3–5–7–9
Hexaware
8
Wipro
9–7–5–3–1–3–5–7–9
Polaris
9
Wipro
9–7–5–3–1–3–5–7–9
Hexaware
10
Polaris
9–7–5–3–1–3–5–7–9
Hexaware
Box 11. Please let us know which value you feel is more attractive and also indicate your degree
of preference for that value in comparison with the other.
1
Economic
9–7–5–3–1–3–5–7–9
Social
2
Economic
9–7–5–3–1–3–5–7–9
Interest
3
Economic
9–7–5–3–1–3–5–7–9
Application
4
Economic
9–7–5–3–1–3–5–7–9
Development
5
Economic
9–7–5–3–1–3–5–7–9
Global Opportunities
6
Economic
9–7–5–3–1–3–5–7–9
CSR
7
Social
9–7–5–3–1–3–5–7–9
Interest
8
Social
9–7–5–3–1–3–5–7–9
Application
9
Social
9–7–5–3–1–3–5–7–9
Development
10
Social
9–7–5–3–1–3–5–7–9
Global Opportunities
11
Social
9–7–5–3–1–3–5–7–9
CSR
12
Interest
9–7–5–3–1–3–5–7–9
Application
13
Interest
9–7–5–3–1–3–5–7–9
Development
14
Interest
9–7–5–3–1–3–5–7–9
Global Opportunities
15
Interest
9–7–5–3–1–3–5–7–9
CSR
16
Application
9–7–5–3–1–3–5–7–9
Development
17
Application
9–7–5–3–1–3–5–7–9
Global Opportunities
18
Application
9–7–5–3–1–3–5–7–9
CSR
19
Development
9–7–5–3–1–3–5–7–9
Global Opportunities
20
Development
9–7–5–3–1–3–5–7–9
CSR
21
Global opportunities
9–7–5–3–1–3–5–7–9
CSR
Thank You
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is prohibited.
International Journal of Human Capital and Information Technology Professionals, 2(1), 103-106, January-March 2011 103
book review:
“leadership in the digital Enterprise:
Issues and challenges”
Fernando Cabezas-Isla, Universidad Carlos III de Madrid, Spain
Cristina Casado-Lumbreras, Karakorum Servicios Profesionales, Spain
Leadership in the Digital Enterprise: Issues
and Challenges
by Pak Yoong
Business Science Reference
ISBN 978-1-60566-959-5
Copyright 2010
341 pp.
As stated in the chapter 16 of this book,
“using teams of workers dispersed temporally
and geographically has changed the way people
work in groups and redefined the nature of
teamwork. Emergent leadership issues in
computer-mediated communication are vital
today because of the increasing prevalence of
the virtual organization, the flattening of organizational structures, and the corresponding
interest in managing virtual groups and teams
(Simoff & Sudweeks, 2010, 232). This sole
paragraph is capable of justifying the existence
of this book.
This publication is capable of addressing the majority of the issues present in the
previously described scenario due to its much
DOI: 10.4018/jhcitp.2011010107
broad variety of contents. Rather than applying a vertical approach, which could confuse
an unfamiliar audience, it explores a myriad of
concepts and aspects, all related to leadership
issues in online business environment.
This book consists of a compilation of studies from a panoply of authors structured in four
sections. It follows a linear and logical path that
covers emergent leadership styles, significant
aspects of the concept and strategies to reach
an efficient leadership. Thanks this organization, disinterest and disconcert of the readers is
avoided throughout the text. Section 1 contains
5 chapters in which a discussion around some
leadership approaches in digital and knowledge
environments takes place. This section represents the main contribution of the book, as the
rest of the sections expand from the stated here.
Section 2 comprises 6 chapters that expose
diverse relevant aspects of various leadership
trends in digital enterprises. Section 3 includes
3 chapters focused on different strategies that
may contribute to leaders’ development in the
aforementioned domains. The book concludes
with Section 4, which gathers complementary
research material through three more chapters.
A review of each chapter is detailed in the following paragraphs.
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is prohibited.
104 International Journal of Human Capital and Information Technology Professionals, 2(1), 103-106, January-March 2011
The first chapter, The Nature of Distributed
Leadership and its Development in Online
Environments, presents online environments as
a perfect vehicle to develop the concept of distributed leadership. It starts with a review of the
traditional leadership literature, and from this
point, it intelligently progress to the distributed
leadership concept in online environments. In
this chapter, the author differentiates a number
of contributing factors, such as leader types
and technologies adopted, for the appropriate
development of this kind of leadership.
Chapter 2, Shared Leadership Meets Virtual
Teams, explores the concept of shared leadership
in the virtual team context. The authors identify
some key factors and aspects of virtual teams
through a review of the existing literature, and
point the differences between leadership in
virtual and traditional teams. The chapter concludes with certain emerging leadership styles
that may affect virtual teams.
Leading in a Knowledge Era is the title
of chapter 3. The authors introduce the role of
knowledge leaders and how it can affect knowledge workers and knowledge management
practices. The authors study the importance
of these leaders in this context as they review
several dimensions of the knowledge leaders
that should conduce to successful knowledge
management practices. They also suggest that a
transformation in the leadership style is required
in this area. The drawback of this chapter is its
narrative literature base rather than analytic due
to the lack of the later one.
Chapter 4, Governance and Leadership of
Knowledge Management, portrays a review of
the knowledge management concept through a
case of study of a large European corporation.
The authors identify some crucial aspects of
the knowledge management governance such
as the location in the organization and the level
of formalization and the knowledge management leader’s role. A knowledge management
governance framework was developed as a
part of the study.
The last chapter of the section 1 is Managing in the Time of Virtualness. This chapter
concludes Section 1 with a review of the man-
agement in virtual teams through a study composed of interviews conducted with different
individuals involved in virtual team interactions.
The authors portray communication, technology used to enable this communication, and the
changes identified in this area as critical factors.
As a result of the study, the authors extract a
series of recommendations intended to reach an
effective performance in virtual teams.
Knowledge Brokers in Overlapping Online
Communities of Practice is the first chapter of
section 2. It introduces the concept of knowledge
brokers and their role within online communities of practice. The authors carried a research
to identify how these communities facilitate
the transition of professional knowledge, and
their focus on new knowledge. They also underscore the importance of the connector-leader
role in the connection of overlapping online
communities of practice and the answer to the
knowledge requirements in this communities or
local organizations. A downside of this chapter
is the impossibility to extrapolate the results of
this study to other contexts due to the limited
scope of the research.
Chapter 7, Enhancing Virtual Learning
Team Performance, centers its attention on
the understanding of effectiveness, learning
performance and satisfaction of virtual learning teams. The authors review four critical
factors that impact these aspects: leadership
effectiveness, team trust, communication frequency and propensity to trust. They conduct a
quasi-experiment to empirically test the impact
of these four factors. As a result, the authors conclude that trust serves as a mediating role in the
relationship between leadership effectiveness
and team satisfaction and team performance.
The chapter ends with a series of measures
suggested by the authors that may contribute
to effectiveness, learning performance and
satisfaction of virtual learning teams.
Chapter 8, Building Collective Awareness
in Virtual Teams, revises the concept of leadership in virtual teams and its impact from a
behavioral perspective on collective awareness
in this context. The authors divide information
into task-oriented activities and relationship-
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International Journal of Human Capital and Information Technology Professionals, 2(1), 103-106, January-March 2011 105
oriented activities, and identify collective
awareness and leadership as key factors in the
success of virtual teams. They apply theoretical
and empirical work to analyze the contributions
made by e-leaders to collective awareness
management. The authors state that collective
awareness depends heavily on information,
thus the focal activity of e-leaders should be
information management.
Prof. Scupola poses in chapter 9 the results
of a study investigating leadership and leadership styles in e-commerce adoption in small
and medium size enterprises in Australia. The
chapter starts with a review of ICT adoption
frameworks in SMEs that facilitate the comprehension of the rest of the study. The authors
use the Dunphy and Sace Model of leadership
styles and change Management to analyze different levels and degrees of change in leadership
styles. As a conclusion, the relevance of top
management and CEO e-commerce leadership
for e-commerce adoption is underscored.
Chapter 10, Patterns of Facilitation in
Online Communities of Practice. In this case,
the role of the facilitator is introduced and
reviewed in online communities of practice.
From the content analysis of facilitators’ posts
of diverse communities, the authors identify the
most common tasks carried by these facilitators.
To conclude the chapter, a series of guidelines
are extracted from the analysis. Nevertheless,
the limited scope of the study prevents a consistent generalization of its results.
E-Leadership Styles for Global Virtual
Teams is the last chapter in Section 2. This
chapter studies the role of leaders-coordinators
in global virtual teams. By means of a single
case study based on the laddering method, the
authors conducted semi-structured interviews
with five individuals. As a result, they suggest
the suitability of different leadership approaches
and a series of points regarding e-leadership
value to organizations.
The Application of Blended Action Learning to Leadership Development is the first
chapter in Section 3 is focused on blended action
learning as a vehicle for supporting leadership
development. A number of advantages are dis-
cussed by the authors, including the combination
of online and face-to-face interactions for this
purpose. The role of the facilitator in this context
is also underscored. The authors carried a study
case in pursuit to reinforce some aspects of the
existing literature. Five individuals were part
of a blended action learning group, and their
opinions were gathered through interviews.
Chapter 13, Assessment Strategies for Servant Leadership Practice and Training in the
Virtual Organization, introduces the concept of
servant leadership as a path to lead by serving
others. The authors evaluate the servant leadership approach through Laub’s Organizational
Leadership Assessment (OLA). The author
states the necessity of other methods to evaluate
this kind of leadership.
Section 3 ends with chapter 14, Online Networks Can Support the Rise of Virtual Leaders.
This chapter explores the rise of self-selected
leaders in virtual environments by means of
an extended actor network theory (ANT). The
review of the ANT in this domain is carried
through four different stages: problematisation,
interressement, enrolment and mobilization.
The author explains how these leaders take
advantage of the medium, and points trust as a
relevant factor in this context. He also marks the
pivotal role of technology in this environment.
The last section of the book begins with
chapter 15, Leadership in Technology Project
Management. It poses a review of the different project managers’ leadership styles in the
technology projects context. The author starts
with the separation of management form leadership, and continues with a recapitulation of
the leadership literature, both antique and more
recent. He discusses the main leadership traits
and the relation between project management
and leadership in different contexts.
Chapter 16, The Language of Leaders,
focuses on the communication patterns characteristic of emergent leaders. The authors
analyze through two different case studies if
number, length, and content of messages are
sufficient criteria to identify these leaders in
asynchronous and synchronous environments.
Copyright © 2011, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global
is prohibited.
106 International Journal of Human Capital and Information Technology Professionals, 2(1), 103-106, January-March 2011
Finally Building Trust in Networked Environments, introduces the concept of trust broker
by means of evaluating the paradox of trust in
distributed work environments. The authors
discuss the concept with clarity. Based on a
relational approach to trust in groups as well
as empirical studies of distributed work groups,
they discuss the relevance of trust brokers in the
quick establishment of trust and the enhancement of group performance.
Overall, the book represents a solid contribution to the existing literature about the
topic due to the dearth of research material
concerning emergent leadership in these environments. In most of the cases the authors try
take advantage of the extensive literature about
traditional leadership and transfer the concepts,
when possible, to a digital context.
Its organization facilitates the audience
to follow well explained concepts making it
suitable for a wide range of readers. In the
publication predominates limited and in some
cases very specific samples studies that narrow
the book’s appeal to experienced professionals
in managerial positions. Nevertheless, it may
serve well to researchers seeking to further study
any of the topics depicted or any other reader in
pursue of an awareness increase of the matter.
rEfErEncES
Simoff, S. J., & Sudweeks, F. (2010). The Language
of Leaders: Identifying Emergent Leaders in Global
Virtual Teams . In Yoong, P. (Ed.), Leadership in the
Digital Enterprise: Issues and Challenges (p. 341).
Hershey, PA: IGI-Global.
Fernando Cabezas-Isla is a Research Assistant and a Ph.D. candidate of the Computer Science
Department at Universidad Carlos III de Madrid. He holds an MSc in Computer Science from
Universidad Carlos III de Madrid. He has been involved in several research projects as Software
Engineer and Software Engineering consultant.
Cristina Casado-Lumbreras is the Managing Director at Karakorum. She received her PhD
in Psychology from the Universidad Autónoma of Madrid (2002). She has been working in
several research institutions and Universities since nineties including Universidad Autónoma
of Madrid, Universidad Complutense of Madrid and Escuela de Administración de Empresas
(EAE). Her research interests include human capital development, staffing and, lately, emotions
in organizational contexts.
Copyright © 2011, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global
is prohibited.
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