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Received April 2009
Revised August 2009
Accepted September 2009
Leadership development:
the key to unlocking individual
creativity in organizations
Jeffery D. Houghton
Department of Management and Industrial Relations, West Virginia University,
Morgantown, West Virginia, USA, and
Trudy C. DiLiello
Naval Facilities Engineering Command, Port Hueneme, California, USA
Abstract
Purpose – This paper sets out to develop and test a hypothesized model of the role of adult
leadership development and youth leadership development as possible moderators of the relationships
between creative self-efficacy, perceived support for creativity, and individual creativity.
Design/methodology/approach – The study employs the multi-group nested goodness-of-fit
strategy in LISREL 8.53 to test the interaction effects of two qualitative moderator variables.
Findings – Results suggest that adult leadership development may moderate the relationship
between perceived organizational support for creativity and individual creativity, while youth
leadership development may moderate the relationship between creative self-efficacy and individual
creativity.
Research limitations/implications – Limitations include concerns regarding generalizability,
possible social desirability and response set biases, self-report data, and causality. The primary
implication is that leadership development, targeted at adults as well as children, may represent one
important key for unlocking idle creative potential and enhancing overall organizational effectiveness.
Practical implications – Organizations may wish to consider youth leadership development
experiences as potential behaviorally based predictors of future job success for jobs that require
creativity. Organizational decision makers should also carefully consider making leadership
development opportunities available to organizational members at all levels.
Originality/value – The study is among the first to examine both adult and youth leadership
development as potential facilitators of creativity in organizations and has value for practitioners as
well as for future creativity and leadership development researchers.
Keywords Leadership, Development, Creative thinking, Individual psychology, Innovation
Paper type Research paper
Leadership & Organization
Development Journal
Vol. 31 No. 3, 2010
pp. 230-245
q Emerald Group Publishing Limited
0143-7739
DOI 10.1108/01437731011039343
Creativity and innovation are critically important for organizations seeking to survive
and thrive in today’s highly turbulent business environments (Kanter, 1983;
Tushman and O’Reilly, 1997; Utterback, 1994). In the face of the current uncertainty
in domestic and international financial markets, along with increasingly intense
competition fueled by globalization, many of the world’s most successful companies
are adopting a new corporate business model based largely on using individual
creativity to facilitate organizational innovation (e.g. McGregor, 2007). In order to build
The authors thank Teresa Amabile and Pam Tierney for helpful comments and feedback on
their creativity constructs and measures.
and sustain an organizational culture dominated by creativity and innovation,
organizations must effectively identify and mobilize the creative resources of their
members. When organizational members perceive a work environment that restricts or
fails to encourage individual creative expression, a gap may exist between the level of
individual creative potential and the actual amount of individual creativity practiced
within the organization. Leadership development may represent one important key for
unlocking this idle creative potential and enhancing overall organizational
effectiveness. The purpose of this paper is to develop and test a hypothesized model
of leadership development and creativity in organizations. In short, we will examine
the potential role of adult leadership development in moderating the relationship
between perceived support for creativity and individual creativity as well as the
potential role of youth leadership development in moderating the relationship between
creative self-efficacy and individual creativity. Our hypothesized model of leadership
development and creativity is presented in Figure 1. In the following sections we will
develop and present our model on the basis of supporting theoretical and empirical
evidence along with accompanying research hypotheses for subsequent analysis.
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Creative self-efficacy and individual creativity
Creativity is a multifaceted concept that has been defined in a variety ways (e.g. Barron
and Harrington, 1981; Guilford, 1950; Martindale, 1989; Sternberg and Lubart, 1999).
Given the common themes across the various definitions, we join previous researchers
(e.g. Amabile, 1983; Stein, 1974; Woodman et al., 1993) in defining creativity as the
process of forming novel, useful and appropriate ideas in order to solve problems and
increase effectiveness. Our conceptualization of creativity is distinct from the related
concept of innovation. Although these terms have sometimes been used
interchangeably or as a single competency, we view creativity as an individual or
team level process, while innovation involves the successful implementation of creative
ideas at the organizational level (Amabile, 1988; Cummings, 1965; Woodman et al.,
1993). Given this viewpoint, individual creativity is a necessary but insufficient
condition for successful organizational innovation, which in part can be driven by
other factors (Amabile et al., 1996).
Figure 1.
Hypothesized model of
leadership development
and creativity
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A strong internal belief in one’s ability to successfully engage in creative behaviors is
generally considered an important part of the creative process (Amabile, 1983;
Bandura, 1997; Ford, 1996; Tierney and Farmer, 2002). Indeed, self-efficacy beliefs for
engaging in creative behaviors appear to be critically important in helping individuals
to persist in their creative endeavors, especially in the face of difficult or challenging
situations (Tierney and Farmer, 2002). Simply stated, creative self-efficacy is the
subjective belief in one’s personal ability to be creative, that is, a personal assessment
of one’s own creative potential (Tierney and Farmer, 2002). Creative self-efficacy is a
specific application of Bandura’s (1997) conceptualization of self-efficacy as a targeted
perception of capacity that involves viewing oneself as being good at creative problem
solving and novel idea generation. Similar to the concepts of creative capability beliefs
and creative self-image (Ford, 1996), creative self-efficacy is usually considered to be
distinct from other self-views such as self-esteem and self-confidence, which involve
broader and more generalized feelings. Creative self-efficacy, on the other hand,
involves a specific judgment regarding the capacity for creative action (Tierney and
Farmer, 2002).
The greater the creative self-efficacy possessed by an individual, the more likely the
individual will be to perceive opportunities to actually apply their creative potential in
the form of creative action. Although this relationship could possibly be attenuated by
factors such as a bad fit between the person and the job (Cummings and Oldham, 1997;
Farmer et al., 2003; O’Reilly et al., 1991) or an organizational environment that does not
support individual creative behavior (Amabile et al., 1996; Cummings et al., 1975;
Oldham and Cummings, 1996; Woodman et al., 1993), this relationship is still likely to
be strongly positive. Indeed, in one of the few studies to empirically examine the role of
creative self-efficacy in the creative process, Tierney and Farmer (2002) reported that
creative self-efficacy predicted job performance above and beyond the effects of job
self-efficacy. Hence, based on this theoretical and empirical evidence, we predict:
H1. Creative self-efficacy will be positively related to individual creativity.
Perceived organizational support for creativity
The broad concept of perceived organizational support (POS) has received a significant
amount of attention from researchers over the past two decades as evidenced by the
large number of empirical studies on the subject (Rhoades and Eisenberger, 2002).
Social exchange theory (e.g. Eisenberger et al., 1986) and the norm of reciprocity
(Gouldner, 1960) suggest that if one party treats another party well, the rewarded party
will be compelled to return the favor. POS theory expands on this basic concept of
reciprocity by specifying that in return for outcomes such as fair procedures,
supervisory support, favorable job conditions and other rewards, employees will
provide inputs such as reduced absenteeism and turnover along with increased
organizational commitment and performance (Eisenberger et al., 1986). Empirical
research on POS has generally supported these assertions. In fact, a recent
meta-analysis of more than 70 studies reported significant relationships between POS
and a variety of outcome variables including affective commitment, job satisfaction,
positive mood at work, job involvement, and a desire to remain with the organization
(Rhoades and Eisenberger, 2002).
In addition to these linkages, researchers have often suggested a relationship
between POS and individual creativity (e.g. Amabile, 1988; Cummings et al., 1975,
Shalley, 1995; Woodman et al., 1993; Zhou and George, 2001). Indeed, some theorists
have identified perceived organizational support for creativity as a specific type of
POS, defining it in terms of the extent to which employees perceive encouragement,
respect, rewards, and recognition from the organization for those who demonstrate
creativity (Zhou and George, 2001). Several popular models of individual creativity
and innovation in organizations include the basic concept of perceived support for
creativity. For example, Mumford and Gustafson (1988) identify a number of
environmental conditions that may support innovation and creativity, including
valued rewards, autonomy, risk taking, and alternate viewpoints. In a similar vein,
Woodman and colleagues’ (1993) model of creativity suggests that an
organizational environment supports creativity when leadership is more
democratic and collaborative, when structures are more organic than mechanistic,
when groups contain a diversity of individuals, and when training focuses on idea
generation and the problem-solving skills needed for creativity. Likewise, Ford’s
(1996) model of creativity contends that absorptive capacity, disposition toward
risk, and the extent to which an organization is willing to pursue creative and risky
courses of action are the primary factors that influence an organization’s ability to
support creative action. Finally, Amabile’s (1988) classic model of innovation and
creativity suggests that three elements combine to support and encourage creativity
and innovation:
(1) organizational motivation, defined as the encouragement of acceptable levels of
risk coupled with the practice of challenging the status quo;
(2) organizational resources, including the people, equipment, tools, training and
other types of supporting mechanisms; and
(3) supportive management practices, including autonomy and informative
competency-focused evaluations.
In short, these models suggest that organizations must increase the stimulants and
remove barriers in order to support individual creativity and enhance organizational
innovation. Based on the creativity theory reviewed here, we advance:
H2. Perceived organizational support for creativity will be positively related to
individual creativity.
Leadership development
Over the past few years, more and more attention has been focused on leadership
development, as evidenced by the large numbers of both academic and
practitioner-focused books and articles on the subject (e.g. Byrne and Rees, 2006;
Day, 2001; McCauley and Van Velsor, 2004; Pearce, 2007). Leadership development
may be defined as a process of expanding the capacity of individuals to assume
leadership roles and to engage effectively in leadership processes (Day, 2001; McCauley
and Van Velsor, 2004). Leadership development may take place formally, through a
specific training program or planned course of experiences, or more informally,
through 360-degree feedback, executive coaching, mentoring, networking, job
assignments and action learning (Day, 2001). Although many scholars have argued
that leadership development is a critical success factor for long-term organizational
effectiveness (e.g. Conger and Benjamin, 1999), it is all too often viewed as an
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unnecessary luxury by organizational leaders focused on the bottom line and
immediate short-term results (Ruvolo et al., 2004). Quite to the contrary, we see
leadership development as a key for unlocking and mobilizing individual creativity in
organizations. In addition, although the vast majority of the literature on leadership
development has focused on adults, we suggest that both adult and youth leadership
development have important but differential effects on organizational creativity.
Adult leadership development is commonly explained in terms of a selection,
optimization, compensation (SOC) model (e.g. Baltes, 1997; Mumford and Manley,
2003). The SOC framework suggests that leadership capabilities and capacities are
developed via a dynamic interaction between individuals and their environments
(Mumford et al., 2007). According to this view, the leadership development process is
shaped by the situations that individuals choose for themselves or are allowed to enter
into by their organizations. More precisely, selection for participation in adult
leadership development usually happens in two ways: organizational selection and
self-selection (Mumford et al., 2007). Organizational decision makers are more likely to
select people who have certain relevant skills, abilities, and characteristics that make
them “visible” in the organization (Fiedler, 1996). Furthermore, in the context of
developing leaders for creative efforts, organizations will tend to actively choose and
perhaps even recruit for further development those individuals who already have some
expertise and problem solving skills within the creative domains in which they will be
operating (Mumford et al., 2007). Selection is not limited, however, to the choices made
by the organization. Self-selection processes are also likely to be operating as
individuals make choices regarding the kinds of roles they will accept and the kinds of
leadership development opportunities they will seek (Mumford et al., 2007).
As noted above, organizations are more likely to select highly valued and visible
members to participate in leadership development and other training activities ( Johlke
et al., 2002). Providing the opportunity to participate in leadership development
activities is usually viewed by employees as a very positive action on the part of the
organization and one that communicates the organization’s care and concern for the
well-being of its members (Nadler and Nadler, 1989). In fact, empirical research has
suggested a relationship between discretionary employee development opportunities
and perceived organizational support (Wayne et al., 1997; Tansky and Cohen, 2001).
Although there is no single “magic bullet” leadership development intervention that
will provide all of the capabilities and capacities necessary for creative action, many
interventions focus on providing technical expertise, creative thinking skills,
organizational knowledge and other key competencies related to leadership and
creative processes (Mumford et al., 2002; Mumford et al., 2007). Given the theoretical
and empirical evidenced outlined above, it seems reasonable to suggest that adult
leadership development will intensify the effects of perceived organizational support in
enhancing perceptions of opportunities to engage in creative behaviors in the
workplace. We therefore assert:
H3. Involvement in adult leadership development activities will moderate the
relationship between perceived organizational support for creativity and
individual creativity such that the relationship will be significantly stronger
for those individuals who have participated in adult leadership development
activities than for those who have not.
The process of leadership development is not limited to adults working in
organizations. Although it is a relatively new area of research, youth leadership
development has been a recognizable phenomenon in the US for several decades with
organizations such as 4-H, the Boy and Girl Scouts, clubs, churches and civic groups
employing a variety of strategies to develop young people for future leadership roles
(Libby et al., 2006). Recently, researchers have begun to acknowledge the importance of
youth leadership development within the larger context of youth development
processes in general (e.g. Kress, 2006). Youth leadership development may be defined
as experiences, ranging from highly structured to very informal, that allow young
people to develop the competencies necessary to effectively lead others (Zeldin and
Camino, 1999). Although youth leadership development efforts resemble leadership
development efforts at the adult level, some scholars have suggested that youth
leadership development tends to focus more on skill and knowledge acquisition than
does adult leadership development, which tends to focus more on influence and
decision-making (e.g. MacNeil, 2006). In addition, many youth leadership development
programs focus either explicitly or implicitly on helping students to mobilize their
creative potential. Furthermore, research on the development of creativity in children
suggests that childhood developmental experiences can be predictive of subsequent
creativity in adulthood (Runco, 2006; Russ, 1996). Based on this evidence, we suggest
that children who are involved youth leadership development activities gain
experience and skills in finding opportunities in their environments to apply their
creative potential and that these experiences and skills will transfer into adulthood. We
thus posit that adults who were involved in youth leadership development activities as
children will be more likely to perceive opportunities to apply their creative potential
by engaging in creative actions than adults who were never involved in youth
development activities. Specifically:
H4. Involvement in youth leadership development activities will moderate the
relationship between creative self-efficacy and individual creativity such that
the relationship will be significantly stronger for those individuals who have
participated in youth leadership development activities than for those who
have not.
Methods
Data and sample
Primary data were collected by means of a web-based survey within the Army
Contracting Agency, a strategic command within the United States Department of
Defense (DoD). The DoD stresses the importance of leveraging workforce creativity in
order to develop the critical new capabilities and competencies necessary for fulfilling
its mission of averting enemy terrorization. Indeed, creativity and innovation have
been identified by the Office of the Secretary of Defense (OSD) as ranking among the
most effective means for facilitating the changes necessary for maintaining a
competitive advantage. The data were gathered as part of a larger research program
designed to examine a number of creativity-related issues within the DoD.
A total of 693 individuals chose to participate in the survey out of a total workforce
of approximately 1,900, yielding a 37 percent response rate. This response rate was
better than average when compared with response rates for other surveys of federal
employees and with response rates in general on surveys with a similar delivery
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format (Sheehan, 2001). In the current survey, an invitation to participate was sent via
two separate e-mails. The first e-mail included an informed consent notification, the
purpose of the study, the approval and sponsorship of the study, a confidentiality
statement and a link to the online survey. A second e-mail summarized the initial
message, added a personal note, and provided a four-day extension along with a link to
the online survey. A response rate check showed no indication of any type of
systematic non-response bias with a fairly representative percentage response from
each of nine regional offices. The average age of those surveyed was approximately 46
and the average job tenure was approximately 12 years.
Cases were divided into four subsamples based on the subjects’ participation in
adult and youth leadership development. Subsample 1 consisted of subjects who had
participated in adult leadership development activities, subsample 2 consisted of
subjects who had not participated in adult leadership development activities,
subsample 3 consisted of subjects who had participated in youth leadership
development activities, and subsample 4 consisted of subjects who had not
participated in youth development activities. Listwise deletion for missing data
resulted in final sample sizes of 289 (yes – adult LD), 344 (no – adult LD), 307 (yes –
youth LD), and 326 (no – youth LD) for subsamples 1, 2, 3 and 4 respectively.
Measures
All items were measured using a Likert-type scale (1 ¼ strongly disagree to
5 ¼ strongly agree) and are shown in Table I along with reliability estimates for each
scale dimension.
Creative self-efficacy. Creative self-efficacy was measured using six items, four of
which (items 1-4, Table I) were taken from Tierney and Farmer’s (2002) self-efficacy
Items
Creative self-efficacy scale a ¼ 0.84
1.
I feel that I am good at generating novel ideas
2.
I have confidence in my ability to solve problems creatively
3.
I have a knack for further developing the ideas of others
4.
I am good at finding creative ways to solve problems
5.
I have the talent and skills to do well in my work
6.
I feel comfortable trying out new ideas
Individual creativity scale a ¼ 0.84
7.
I have opportunities to use my creative skills and abilities at work
8.
I am invited to submit ideas for improvements in the workplace
9.
I have the opportunity to participate on team(s)
10.
I have the freedom to decide how my job tasks get done
11.
My creative abilities are used to my full potential at work
Table I.
Measurement items and
scale reliabilities
Perceived organizational support for creativity scale a ¼ 0.94
12.
People are recognized for creative work in this organization
13.
Ideas are judged fairly in this organization
14.
People are encouraged to solve problems creatively in this organization
15.
This organization has a good mechanism for encouraging and developing creative ideas
16.
People are encouraged to take risks in this organization
17.
Rewards are given for innovative and creative ideas
scale and two of which (items 5-6, Table I) were created for the present study in order to
assess two additional nuances of creative self-efficacy not included in the existing
items. One of the additional items assessed subjects’ perceptions regarding the extent
to which they believe that they have the talent or expertise to do well in their work,
while the other item measured subjects’ perceptions of the extent to which they feel
that they possess the ability to take risks by trying out new ideas (see Amabile et al.,
1999). The scale demonstrated good reliability with a ¼ 0:84.
Individual creativity. Individual creativity was operationalized in terms of individual
perceptions of opportunities to engage in creative behaviors using five items developed
specifically for the current study (see Table I). A principal components analysis
revealed a clean factor structure for our individual creativity construct relative to the
other constructs in the present study with strong factor loadings (all . 0.60) and
virtually no cross-loadings (none . 0.40) for any of the items, thus providing
substantive evidence in support of the discriminant validity of our creativity
constructs. The individual creativity scale demonstrated solid reliability with
a ¼ 0:84.
Perceived organizational support for creativity. Perceived organizational support for
creativity was measured with six items (see Table I) from “KEYS: assessing the
climate for creativity,” used with permission from the Center for Creative Leadership
(Amabile et al., 1999). The KEYS scale has demonstrated fairly strong psychometric
properties in past research (e.g. Mathisen and Einarsen, 2004) and showed very good
reliability in the current study with a ¼ 0:94.
Participation in leadership development. Two items were used to assess
participation in youth and adult leadership development programs: “Have you
participated, or are you now participating, in a formal Leadership Development
Program?” and “As a child, did you participate in youth programs that helped you
develop leadership skills?” If answering either question in the affirmative, subjects
were then encouraged to respond with a brief description of the type of leadership
development program they experienced. The DoD’s Defense Leadership and
Management Program (DLAMP) and the Naval Facilities Leadership Development
Initiative were the most often mentioned adult formal leadership development
programs, while scouts (boy, girl, cub, eagle, etc), 4-H, church-based programs, and
organized sports were the most frequently referenced youth leadership development
activities.
Analysis
In order to test our hypotheses, we used the multi-group nested goodness-of-fit strategy
in LISREL 8.53 as described by Jaccard and Wan (1996). This strategy tests the
interaction effects of a qualitative moderator variable in two steps. The first step
consists of determining a multi-group solution in LISREL in which separate parameter
estimates are determined for each group along with an overall measure of model fit
that considers both groups simultaneously. A nonsignificant chi-square statistic
indicates an overall model that fits well across both groups. The demonstration of a
good fitting overall model is a necessary prerequisite to moving on to the second stage
of the analysis, which evaluates the proposed interaction effect. The interaction is
tested by imposing an across-group equality constraint on the parameter of interest. In
other words, the multi-group analysis is performed again but with the additional
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constraint that the regression coefficients between the dependent and independent
variables be equal in the two groups. If the two path coefficients are actually equal in
the two populations, then the overall fit of the model in step two should not be
adversely affected by this constraint. On the other hand, a significantly worse fitting
overall model in step two indicates a substantial interaction effect (Jaccard and Wan,
1996).
We used item-parceling techniques to simplify our model and to facilitate testing
along the lines described above. In general, the use of item parcels allows for fewer
parameter estimations and greater stability of estimates (e.g. Marsh et al., 1989). In
addition, so long as items comprising latent constructs demonstrate unidimensionality,
estimates should not vary significantly regardless of whether parcels or items are used
(Sass and Smith, 2006). In addition, researchers have shown that when using items
from a unidimensional scale, the parceling procedure is irrelevant (Little et al., 2002;
Sass and Smith, 2006). In the current analysis, individual items for each construct were
randomly divided, summed and averaged to create two parceled indicators for
perceived organizational support for creativity, two parceled indicators for creative
self-efficacy, and three parceled indicators for individual creativity. Item parcels are
portrayed visually as part of our hypothesized model in Figure 1. Although not
described in detail, we tested a number of alternative parceling methods and found no
substantive differences in our subsequent findings.
Results
Standardized path estimates for the two adult leadership development subsamples are
shown in Figure 2 with the estimates for the “Adult Leadership Development” group
shown in bold and the estimates for the “No Adult Leadership Development”
group shown in parentheses with measurement error effects omitted for clarity.
Similarly, standardized path estimates for the two youth leadership development
subsamples are shown in Figure 3 with the estimates for the “Youth Leadership
Development” group shown in bold and the estimates for the “No Youth Leadership
Figure 2.
Standardized path
estimates for adult
leadership development
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Figure 3.
Standardized path
estimates for youth
leadership development
Development” group shown in parentheses with measurement error effects omitted for
clarity. The hypothesized relationship between creative self-efficacy and individual
creativity was significant (p , 0:001) across all four subsamples. Hence, H1 was fully
supported. The hypothesized relationship between perceived organizational support
for creativity and individual creativity was also significant (p , :001) across all four
subsamples. Thus, H2 was also fully supported.
Chi square goodness-of-fit statistics for the two adult leadership development
subsamples are shown in Table II. As indicated in the table, the chi square difference of
5.15 between the multiple group model (Model 2) and the model with an equality
constraint placed on the path between perceived organizational support for creativity
and individual creativity (Model 3) was significant (p , 0:025). In contrast, the chi
square difference of 0.17 between the multiple group model (Model 2) and the model
with an equality constraint placed on the path between creative self-efficacy and
individual creativity (Model 4) was not significant. Thus, H3 that involvement in adult
Model
1. Null
2. Step 1:
Multiple group model
(No across-group constraint)
3. Step 2a:
Equality constraint model
(POS for creativity ! individual creativity) Model
3-2 difference
4. Step 2b:
Equality constraint model
(Creative self-efficacy ! individual creativity)
Model 4-2 difference
x2
df
2,714.51
42
46.50
22
51.65
23
46.67
x 2 difference
df
5.15
1
0.17
1
23
Table II.
Chi square
goodness-of-fit statistics
– adult leadership
development groups
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leadership development activities moderates the relationship between perceived
organizational support for creativity and individual creativity was supported.
Chi square goodness-of-fit statistics for the two youth leadership development
subsamples are shown in Table III. As demonstrated in the Table II, the chi square
difference of 0.005 between the multiple group model (Model 2) and the model with an
equality constraint placed on the path between perceived organizational support for
creativity and individual creativity (Model 3) was not significant. On the other hand,
the chi square difference of .3.68 between the multiple group model (Model 2) and the
model with an equality constraint placed on the path between creative self-efficacy and
individual creativity (Model 4) was significant at the a ¼ 0:10 level and approached
significance (c:v: ¼ 3:84) at the a ¼ 0:05 level. Thus, H4 that involvement in youth
leadership development activities moderates the relationship between creative
self-efficacy and individual creativity received moderate support.
Discussion
Our findings suggest that both adult leadership development and youth leadership
development activities may play important roles in unlocking individual creativity in
organizations. Based on our data, adult leadership development activities appear to
magnify the effects of perceived organizational support for creativity on perceptions of
opportunities to actually practice creativity. Similarly, it appears that participation in
youth development activities in childhood may help organizational members to
perceive opportunities to apply their creative potential even in the face of possible
environmental obstacles within their organizations. These findings have important
implications for today’s organizational leaders who want to assemble and mobilize the
maximum level of creative resources available for their organization. First, given the
possible role of youth leadership development experiences in facilitating individual
creativity in adulthood, organizations may wish to consider certain types of childhood
development experiences as behaviorally based predictors of future job success for
jobs that require creativity. More specifically, behaviorally based interview questions
could be designed to assess youth leadership development experiences as a means to
help select individuals who may, as a result of their past experiences, be more adept at
finding ways to use their creative potential in the workplace. Second, given the possible
Model
Table III.
Chi square
goodness-of-fit statistics
– youth leadership
development groups
1. Null
2. Step 1:
Multiple group model
(No across-group constraint)
2. Step 2a:
Equality constraint model
(POS for creativity ! individual creativity) Model
3-2 difference
4. Step 2b:
Equality constraint model
(Creative self-efficacy ! Individual creativity)
Model 4-2 difference
x2
df
2762.58
42
51.04
22
51.045
23
54.72
x 2 difference
df
0.005
1
3.68
1
23
role of adult leadership development programs for facilitating individual creativity by
intensifying the positive effects of perceived support for creativity on individual
creativity, organizational decision makers should carefully consider making leadership
development opportunities available to organizational members at all levels.
Our findings are limited in several important ways. First, our sample consisted
exclusively of employees from the Army Contracting Agency, a strategic command
with the Department of Defense (DoD). We hasten to suggest that this kind of sample is
actually especially appropriate for creativity research. Like many other contemporary
organizations ranging from Apple Computers Inc. to General Electric that are currently
embracing new corporate business models based largely on creativity and innovation,
the DoD has recently placed a strong emphasis on mobilizing all available creative
resources in order to maintain its competitive advantage. Nevertheless, as with any
sample drawn from a single organization, the generalizability of our findings to other
organizations of interest cannot be ascertained with any degree of certainty. Second,
our data was self-reported and collected through a single survey at a single point in
time, causing some concern regarding possible measurement problems such as
response set and social desirability biases. Yet despite their inherent limitations,
self-reported items collected in a single administration are widely used in behavioral
research, particularly in the measurement of cognition and other unobservable
processes. Baldwin (2000) states that self-reports are valuable when “there is no other
source for the information” (p. 3). Because the source of information investigated in the
current study was at the individual level and was based on the perception, the personal
experience, and the efficacy of the individual, the use of self-reports seems appropriate
in this case. Third, our self-reported retrospective single item measurement of
involvement in leadership development activities weakens the credibility of our
findings. Although, as noted above, we asked study participants to describe their adult
and youth leadership development and found high frequencies of responses focused on
certain common development activities (e.g. scouting for youth development and a
DoD leadership program for adult development), we have no way of knowing the full
extent and the precise nature of the development activities experienced by each
respondent. As discussed earlier, youth leadership development experiences tend to
focus more on skill and knowledge acquisition while adult leadership development
tend to focus more on influence and decision-making, but these distinctions are far
from set in stone and the actual experiences of our subjects may have varied
substantially. Youth development activities in particular are likely to differ both in
their content and duration and therefore in their impact on creativity, especially given
the considerable length of time since the development experience. A more effective
approach would involve a longitudinal design that would more fully assess the nature
of the leadership development activities experienced by the subjects before
subsequently assessing their workplace creativity. Finally, although we have
provided theoretical and empirical evidence in support of the idea that youth and adult
leadership development activities may serve as important moderators that help to
facilitate individual creativity in organizations, causality cannot be proven with
empirical methodologies such as SEM. Indeed, it is possible that some other factors
could be causing the relationships reported here. For example, it is possible that the
creative benefits from participating in leadership development activities result not
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from the experience itself but from the individual’s motivation, disposition or
opportunity to participate in the activity.
In conclusion, future researchers should continue to examine the role of both adult
and youth leadership development in facilitating individual creativity in organizations
across other samples of interest. For example, studies could be designed to directly
assess the training effects of a specific leadership development program on the
perceptions of opportunities to engage in creative behaviors among training
participants. As mentioned above, there is also a need for longitudinal research
designed to follow participants in youth leadership development activities into
adulthood to more directly assess the efficacy of youth leadership development for
facilitating creativity and other behaviors of interest in the workplace. Through studies
such as these future researchers may be able to continue to aid organizational leaders
in identifying ways to unlock creative potential in order to maximize organizational
effectiveness in today’s turbulent and highly competitive business environments.
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About the authors
Jeffery D. Houghton is an Associate Professor of Management and Director of the Master of
Science in Human Resources and Industrial Relations (MSIR) program at West Virginia
University. He has presented his research at various professional meetings and has published
numerous articles in a variety of respected journals. He holds a PhD in Organizational Studies
from Virginia Polytechnic Institute and State University. Jeffery D. Houghton is the
corresponding author and can be contacted at: jeff.houghton@mail.wvu.edu
Trudy C. DiLiello is a Program Manager for the Naval Facilities Expeditionary Logistics
Center. She was an instructor for the Defense Acquisition University (DAU) where she taught for
eight years. Prior to joining the DAU, she was a Contracting Officer for the Naval Facilities
Engineering Command. She holds a Doctorate of Public Administration from the University of
La Verne.
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