Association for Information Systems
AIS Electronic Library (AISeL)
AMCIS 2008 Proceedings
Americas Conference on Information Systems
(AMCIS)
1-1-2008
Complementarities in Extended Enterprises: A
Framwork for IT Value
Shivraj Kanungo
George Washington University, kanungo@gwu.edu
Srinivas Prasad
George Washington University, prasad@gwu.edu
Vikas Jain
he University of Tampa, jain_vikas12@yahoo.co.uk
Follow this and additional works at: htp://aisel.aisnet.org/amcis2008
Recommended Citation
Kanungo, Shivraj; Prasad, Srinivas; and Jain, Vikas, "Complementarities in Extended Enterprises: A Framwork for IT Value" (2008).
AMCIS 2008 Proceedings. Paper 6.
htp://aisel.aisnet.org/amcis2008/6
his material is brought to you by the Americas Conference on Information Systems (AMCIS) at AIS Electronic Library (AISeL). It has been accepted
for inclusion in AMCIS 2008 Proceedings by an authorized administrator of AIS Electronic Library (AISeL). For more information, please contact
elibrary@aisnet.org.
Kanungo et al.
Complementarity and Extended Enterprise
Complementarities in Extended Enterprises: A
Framework for IT Value
Shivraj Kanungo
Srinivas Prasad
Department of Decision Sciences
Department of Decision Sciences
The George Washington University
The George Washington University
Email: kanungo@gwu.edu
Email: prasad@gwu.edu
Vikas Jain
Department of Information and Technology Management
The University of Tampa
Email: jain_vikas12@yahoo.co.uk
ABSTRACT
While a significant number of organizations have attempted to build relationships with their upstream and
downstream business partners through inter-organizational systems, not many have been able to successful leverage
their investments in such systems. In this paper, we present a framework to analyze complementarities to understand
their role in the value added by information technology (IT) in extended enterprises. Our framework integrates interand intra-organizational perspectives from the information systems (IS) standpoint and extends the notion of
complementarity between and within processes and technologies at the firm level to the level of extended
enterprises. Specifically, we discuss three complementarities, those between processes, between technologies, and
between processes and technologies within and across the firms participating in the extended enterprise. We
illustrate the utility of the framework by citing the experiences of Cisco, Dell and Ford as examples. The primary
contribution of this research lies in the utility of the framework to evaluate the determinants of the performance of
IT in an extended enterprise. Practitioners can use this framework to rethink and re-deploy the complementarities
that exist inside their organizations and extend them to their suppliers, customers and strategic partners.
Keywords
Information system value, extended enterprise, complementarity.
INTRODUCTION
The advent of Internet and other technologies such as electronic commerce, electronic data interchange (EDI), or Intranets
and Extranets have allowed organizations to extend their organizational boundaries to form extended enterprises. An
extended enterprise (EE) includes organizations that collaborate to act purposefully. Organizational participants include
customers, suppliers and partners and other alliance partners. Other terms that have been used in the literature to describe the
„extended enterprise‟ concept include value chains, or value networks. While information and communication technologies
have provided the necessary push for organizations to form relationships with their upstream or downstream business
partners, there remains a lack of clarity on how such technologies add value to various entities participating in an extended
relationship (Riggins et al., 1994). Some organizations have been able to leverage their investments in information
technologies (IT) by building extended relationships with business partners better than others. For instance, Dell and Cisco
can be considered as exemplars of extended enterprises in terms of the leverage that they have been able to derive from their
IT investments in successfully managing relationships with their business partners. On the other hand, the experiment of
building an electronic exchange, COVISINT, by auto manufacturers such as General Motors and Ford Motors to forge
relationships with their suppliers has not met with much success (Baldi and Borgman, 2001). So, the difficult issue before
organizations that have already invested in technologies to extend their organizational boundaries and those that are trying
Proceedings of the Fourteenth Americas Conference on Information Systems, Toronto, ON, Canada August 14th-17th 2008
1
Kanungo et al.
Complementarity and Extended Enterprise
with the idea of investing in such technologies is understanding how information technology (IT) impact the internal and
external performance of an EE.
In this paper, we develop a framework premised on the notion of complementarity that addresses both technology and
process variables in the context of an EE to analyze the impact of IT on EEs. Our framework integrates inter- and intraorganizational perspectives from the IS standpoint and extends the notion of complementarity between process and
technology artifacts at the firm level to EEs. We illustrate the utility of the framework by citing the experiences of Cisco,
Dell and Ford as examples.
The outline of the paper is as follows. The next section provides background and motivation for this study. Subsequent
section presents a complementarity based framework for the EE followed by a discussion on performance determinants of the
EE. We conclude the paper by discussing implications for research and practice.
BACKGROUND AND MOTIVATION
The study of IT value in general, and in the context of technologies that have the potential to extend organizational
boundaries such as Internet, necessitates analysis across levels of organizational abstractions such as firm level or inter-firm
level or even the individual level. Such a study, that spans multiple levels of abstraction, requires a cross-disciplinary
perspective.
To that end, we identify three perspectives or views that are helpful to understand the potential, impacts and consequences of
IT for organizations. The first view is firm-centric and takes into account strategic issues at the firm level. This strategic
viewpoint addresses the issue of strategic value of IT and is premised on Porter‟s work on the five forces model (Porter and
Millar, 1985). Strategic value, from an organization‟s standpoint, can be considered to be the value associated with long-term
implications for the survival and growth of an enterprise as also its relations with customers, competitors and collaborators.
However, in many situations, the development of an organizational strategy depends on the power relationships within an
alliance that the organization is a part of. This alliance is almost always the EE. As a result, it is important to examine the
nature of an organization‟s linkages to other players in the EE to understand IT value in an EE.
The second view, the network view, distinguishes itself from the firm view by moving away from the purely atomistic view
of the firm. It addresses firms as embedded in the networks of social, professional, and exchange relationships with other
individual and organizational actors (Gulati, 1998, Gulati et al., 2000). From this standpoint, collaboration, strategic
alliances, extended value chains, and EEs – linkages that bind entities - accord business value. Therefore, IT that can help
organizations in either building such alliances or sustaining such relationships over time effectively can lead to business
value. The network viewpoint also addresses the issue of social value. The notion of social value is derived from the concept
of social capital (Putnam, 1993). The term social capital refers to a "virtuous circle" of trust, including group membership and
informal social ties. From this standpoint, social value can be associated with membership in a community or communities.
The implication of this viewpoint from IT standpoint lies primarily in terms of facilitating the process of forming and
maintaining alliances and distributing the negotiating power that alliance partners have in an EE.
The third view, the economic view, which emanates from the transaction cost economy tradition, has been adopted to analyze
the migration from hierarchical structures to market-like structures as a result of diminishing coordination costs. The
economic viewpoint addresses the issue of economic value. Economic value can be defined to be the value associated with
reduced costs of doing business and/or increased revenues due to improved reach. However, assessing economic returns for
IT is challenging. The challenge is heightened in the case of Internet technology and associated e-commerce initiatives that
form the basis of EEs in the majority of such endeavors.
In summary, from the IT value standpoint, the firm view helps address the question of how IT adds value to an organization.
While the strategic view, exemplified by Porter‟s five forces model, is adequate in many situations, it fails to take into
account the network of relationships that an organization is embedded into and how this affects organizational performance.
The network view shifts the focus to the EE and allows us to analyze how IT adds value to the EE. However, the network
view is an emerging view that has not been used adequately in studying impact of IT on EE. The economic view spans across
the firm- and network views but has been employed primarily at the firm level to study impact of IT on a firm‟s economic
performance, yielding some valuable insights. Our research adopts the notion of complementarity to develop an integrated
framework to analyze how IT adds value in an EE. When resources are complementary, their potential to create value is
particularly enhanced (Milgrom et al., 1991). Since, in EEs each partner excels in particular sub-processes and/or has a
Proceedings of the Fourteenth Americas Conference on Information Systems, Toronto, ON, Canada August 14th-17th 2008
2
Kanungo et al.
Complementarity and Extended Enterprise
critical knowledge about the process or access to resources, we use complementarity insights from the firm level and extend
them to the network of organizations.
PROPOSED FRAMEWORK
The proposed framework is premised on the idea of complementarity not only among technologies and processes across the
extended value chain that IT enables but also the intra -process and intra-technology complementarities. We extend the notion
of complementarity in influencing IT value at firm level to EEs where levels of complementarities are much more complex
and difficult to isolate. The current stream of research largely ignores the complementarities that exist across intra or interorganizational processes or those that exist across a set of technologies being implemented by the firm and its business
partners. Such complementarities are important in context of EE where a set of organizations with different business
processes and different IT infrastructures attempt to leverage their investments in IT. From this standpoint, in the framework
presented in Figure 1, we identify three types of complementarities in the EE that have the potential to influence performance
of IT in an EE.
Organizational Level Process Enablers
Process
Process
Process
Technology
Technology
Technology
Strategic Network (Alliance) Enablers
Inter-organizational processes
Organizational Level Process Enablers
Process
Process
Process
Technology
Technology
Technology
Inter-organizational systems
Organizational level IT Infrastructure
(technology)
Technology Standards
Organizational level IT Infrastructure
FIRM i
FIRM j
Figure 1. Proposed Framework
These include complementarities across processes (process-process or P-P complementarity), complementarities across
information technologies (technology-technology or T-T complementarity), and complementarities across processes and
information technologies (process-technology or P-T complementarity). In an EE, these three complementarities can exist at
three levels, namely, at the individual organization level, across the participating organizations (inter-organizational level), or
at the boundaries of the participating organizations. The notations and symbols used in Figure 1 are explained in Table 1. The
only complementarity that is not shown is that between processes and technology at the organizational boundary. We now
examine each of these complementarities both within a firm and across firms.
Table 1. Explanation for Figure 1
Proceedings of the Fourteenth Americas Conference on Information Systems, Toronto, ON, Canada August 14th-17th 2008
3
Kanungo et al.
Complementarity and Extended Enterprise
Process-Process (P-P) Complementarity
Process-process complementarities indicate the leverage individual processes provide to other organizational processes to
exploit the investments in technological resources. For instance, some organizational cultures enable process improvements
while others inhibit such improvements. Organizational culture, often determines the ways IT is used and managed (De Lisi,
1993). In context of IT value, information orientation (Marchand et al., 2000) is a manifestation of the complementarity of
organizational (enterprise-wide) processes and processes related to IT management and IT use. Marchand et al. (2000) show
how processes associated with technology practices, information management and information behavior and values co-create
IT value for an organization. The lack of process complementarity manifests itself in what Keen (1997) calls the process
paradox. This is the case where individual processes improve (some times dramatically) but such improvements do not
translate into business value. At the inter-organizational level, process complementarities can be understood as the
complementarity between processes that are external to the organization and those processes that exist inside an organization.
For instance, the ingredients (processes) that allowed Dell to form strategic linkages with Sony and UPS, are the same one
that can be utilized by others (which they probably employ). However, no organization has been able to replicate the
efficiency of Dell's supply chain. Processes can include high level routines like social capital development or new products or
service development that lead to network effects and alliance formation. The relationship between supply chain management
and electronic commerce is an example of inter and intra-organizational process-process complementarity. Electronic
commerce is an extra-organizational process and derives from the transaction perspective while supply chain management is
both an internal and external process and derives from the flow perspective (typically end-to-end flows of goods and services
in the entire supply chain).
Inter-organizational complementarities exist between processes of the two alliance partners that form an EE. These
complementarities can exist at multiple levels. For instance, there is a reflexive relationship between the alliance forming
capacity for an organization (levels of trust, processes in place, technologies in place) and relationship quality or alliance
quality. This type of complementarity is shown in Figure 1 as the complementarity between strategic network processes and
organizational level processes. The implication of such complementarities, in the context of extended organizations, is that
processes, in separate organizations that are linked by information technology (e.g. supply chain processes), need to resonate
with each other (or match each other), in order to provide IT-enabled value.
Technology –Technology (T-T) Complementarity
Complementarities exist within and across technologies too. Some technologies work well with others and allow other
technologies to build upon them. This complementarity can best be conceptualized in terms of IT infrastructure and the
application portfolio. For instance, a robust network and telecommunication infrastructure is necessary in order for a multilocation or global enterprise system (like an ERP or EWIS). Investments in enterprise systems are either preceded or
followed up by investments in strengthening IT infrastructure. As an example, Enterprise Application Integration (EAI)
technologies benefit from the existence of a central database (a data warehouse perhaps), and a communications
infrastructure that provides web like connectivity for users. Although it is possible to provide an EAI solution without these
supporting technologies, the resulting solution is likely to be sub-optimal and relatively weak in terms of flexibility and
scalability. Another example of a complementary investment in technology is in the context of server sizing. More often than
not, servers that host ERP applications are undersized and this shows up only after systems go live. According to Porter
(2001) the "technological possibilities available today derive not just from the Internet architecture but also from
Proceedings of the Fourteenth Americas Conference on Information Systems, Toronto, ON, Canada August 14th-17th 2008
4
Kanungo et al.
Complementarity and Extended Enterprise
complementary technological advances such as scanning, object-oriented programming, relational databases, and wireless
communications (p. 15)."
In context of technologies that facilitate EEs, Hale (2002) analyzes the complementarities in EDI and e-commerce
technologies. According to Halé (2002) rather than competing against each other, EDI and Internet-based commerce will
grow together because they have complementary attributes that suit different requirements. Halé provides an interesting
example of this complementarity in the vehicle registration offered on-line by the State of California. This system combines a
Government-to-Citizen (G2C) portal with on-line links to insurance companies (B2B). Users can register their vehicle on-line
while the system checks their insurance status through an electronic Proof of Insurance and complete the registration. This
application, which has been used by 400,000 users, is capable of 6,000 simultaneous transactions and a rate of 10 transactions
per second at peak time.
Other technology complementarities are emerging and organizations are working toward explicitly aiming to leverage such
complementarities. ERP applications and Knowledge Management (KM) applications represent one such complementary
pair of technologies. Based on a detailed case study that was designed to explore whether KM and ERP technologies were
contradictory or complementary, Newell et al. (2003) report that both the ERP and KM initiatives encouraged the enactment
of metaroutines. It is interesting to note that ERP and KM are both considered processes as much as "technologies" and hence
when we expect technology-technology complementarities to play out, we need to implicitly assume that the underlying
processes are there for those complementarities to be enacted out. From the vantage point of EEs, IT value is enhanced when
technologies (that exist inside organizations that form an EE) are compatible with each other or help leverage one another.
Process -Technology (P-T) Complementarity
Process-technology complementarities at the inter-organizational level refer to the complementarities between technologies
and processes that have to do with inter-organizational systems (IOSs). Technological aspects include extranets, security
frameworks, and technology standards. Process issues have to do with supply chain management, creation and maintenance
of strategic networks and IT governance frameworks or even inter-organizational routines (Pentland, 2004).
An example of such complementarity can be seen played out in the success and horror stories associated with ERP
implementation. Those organizations that have strong and mature processes (work processes and IT implementation
processes) find it relatively easier to implement ERP and are more likely to see meaningful returns on their investments.
Organizations that have weak processes and tend to use ERP implementations to formalize or rationalize their internal work
processes find ERP implementation to be a painfully process. Such implementations are often disruptive and even when they
"succeed" they do not result in the expected returns on investments. Many dotcoms succumbed to the lack of processtechnology complementarity when they failed to develop the back-end and delivery systems once they had the website up and
an increasing number of customers started placing orders. The early e-commerce pioneers concentrated on the end of the
action that they reckoned to understand: website design and snazzy marketing (Anonymous, 2000). Many outsourced the
whole tiresome business of order checking and distribution. In its early days, even Amazon relied wholly on Ingram's bookwholesaling operation. Consumer-electronics sites left the business to Micro, another big wholesaler and distributor.
Everybody used United Parcel Services (UPS), Federal Express or the post for delivery. Yet two things soon became clear.
One was that shipping costs were (and remain) one of the biggest deterrents for consumers considering online purchases of
physical products. The second was that traditional warehouse and distribution centers were not well suited to the business of
e-commerce fulfillment: if it is to work properly, it needs newly designed systems. Both these things have combined to
undermine some of the economic advantages of online shopping. The process-technology complementarity is by far the most
interesting from at IT value perspective. This is because the adoption of IT for an EE is not just a decision made by individual
and isolated firms. It is embedded in an on-going social and technological context created by a group of organizations. The
diffusion and infusion of technology requires considerable changes and modifications to organizational processes and
practices. As always, technology adoption can never be just a question of installing some new hardware, or adopting a new
software package. A wide range of organizational and managerial changes are required in all participating organizations of
the EE to absorb and leverage the technology.
Having discussed the three types of complementarities in our framework, we argue that that the extent to which such
complementarities can be achieved depends on two factors, namely, degree of integration in EE and depth of integration with
the business partners. In the next section, we discuss these two aspects.
DEGREE OF INTEGRATION IN EE
Process and technology complementarities (IOPij, IOTij) at the inter-organizational level are influenced by certain parameters
determined by the strategic alliance enablers. One such parameter is the degree of integration across the EE that can be
Proceedings of the Fourteenth Americas Conference on Information Systems, Toronto, ON, Canada August 14th-17th 2008
5
Kanungo et al.
Complementarity and Extended Enterprise
described in terms of the nature and the extent of interaction possible between partners. For example, the interaction between
two partners can be either unidirectional or bi-directional. That is, a supplier may be able to track order information in his
downstream partners‟ system, but the partner may not be able to check, say, inventory levels of the supplier.
We illustrate the importance of this point using Cisco‟s $2.2 billion inventory write-off in the third fiscal quarter of 2001,
which was later attributed to supply chain inefficiencies. A major part of the problem was the process of collecting data (that
were noisy) to feed into sophisticated forecasting models. In addition, the inflation of demand across supply chain tiers led to
a build-up of inventory. There is evidence to suggest that forecasting results within Cisco and those within its suppliers were
diverging. However, the nature of relationship (I order, you make) implied a one-way information flow. One of the suppliers
believes that “it would have been presumptuous to confront a company like Cisco and tell it was wrong. When had Cisco
ever been wrong?” But it is clear that that over-reliance on the forecasting technology led people to undervalue human
judgment and intuition, and inhibited frank conversations among partners (Berinato, 2001). Their process maturity was much
less than their technology maturity. This lack of complementarity ran counter to the insight offered by their CFO who, while
explaining Cisco‟s real-time accounting system, considers the key to lie more in the process than the technology (Carter,
2001). This also highlights the difference between control and coordination. Accounting inside Cisco implied control over
information and processes. Coordinating with alliance partners (in the context of outsourced manufacturing) implies less use
of control and more dependence on contractual clauses and negotiating processes. This is an example of inter-organizational
process complementarity.
DEPTH OF INTEGRATION IN EE
Another aspect of the EE is the number of tiers across which partners attempt to integrate. It may be desirable in a particular
EE to have integration across all tiers, whereas in others integration with immediate partners may suffice. Here again, the
ability to be able to integrate across multiple tiers is a function of individual firm capabilities in terms of process and
technology capabilities. As an example, Ford‟s foray into establishing technology-based linkages with its suppliers was
affected by the suppliers‟ ability (financial and organizational) to implement intranet technologies. This is an instance where
lack of internal complementarities in tier two and tier three suppliers limited the integration of the EE. In this scenario, interorganizational complementarities remained weak at the technology as well as process levels (Austin, 1997).
Factors that may help organizations determine the number of tiers across which to integrate could be based on the value
added along each of the tiers. For example integration is more desirable at downstream stages of the EE when substantial
value would have been added and thus it becomes critical for partners to exchange information to manage inventory levels
and product flows. The implication of this can be seen in the emerging structures of EE, typified by hubs/exchange structures
at upstream stages and tightly coupled links at the downstream stages. For example, a supplier could be part of a market
exchange (buy side) though which it acquires materials that it supplies to individual firms on the sell side through
individually and strongly coupled links with each firm. Exchanges make sense when commodities (or raw materials) are
involved. Recent work by Cavusoglu et al. (2005) provides encouraging evidence of such value in terms of cost savings and
potential loss in the context of security value by way of the finding that optimal configuration of intrusion detection system
(IDS) depends not on the firm‟s internal cost parameters but on the external hacker parameters.
A FRAMEWORK FOR MEASURING IT VALUE IN EE
The success of an organization is increasingly being equated with the success of the EE it participates in. The
complementarity framework discussed earlier provides a mechanism to relate the performance of information technology in
an EE to three types of complementarities, namely, P-P, T-T, and P-T that are either present in the individual firms
participating in extended relationship or those that emerge from their relationships. When assessing value of IT in an EE
using the complementarity framework discussed earlier, one needs to realize that there exists a hierarchy of
complementarities across processes, across technologies, and across the tier of the supply chain or the value chain to which
an a particular entity in the EE belongs. For example, for two firms i and j participating in an extended relationship, not all
business processes in firm i or j are likely to be complementary to each other nor will all the business processes in firm i be
complementary to all the business processes in firm j. The same applies for the complementarities observed in the
technologies implemented in the two organizations. Therefore, to identify the processes and technologies across which
complementarities exist in an EE, a hierarchy of such complementarities needs to be developed. Also, it is difficult to
establish the same level of complementarity in business processes or technologies across all tiers of business partners in an
EE. It is very likely that business processes and technologies between immediate business partners will exhibit highest level
of complementarity than that between a firm and its business partner who is farther down the value chain. Therefore, to
formalize IT value mathematically in an EE involving two firms i and j , one can conceptualize it as:
Proceedings of the Fourteenth Americas Conference on Information Systems, Toronto, ON, Canada August 14th-17th 2008
6
Kanungo et al.
Complementarity and Extended Enterprise
IT Value (in EE) = function ( …, …, IOPij, IOTij, Degree of integration, Depth of integration …)
… (1)
where IOPij and IOTij refer to quality of inter-organizational processes and technologies between firms i and j.
Equations (2) and (3) formalize the process-technology complementarity relationship at the inter-organizational level where
IOPij has been posited as a function of IOTij.
IOPij = function(Pik, Pjk, IOTij, Strategic Alliance Enablers)
… (2)
IOTij = function (Tik,Tjk, IOPij, Technology Standards)
… (3)
Pik and Tik represent kth process and technology respectively in firm i while Pjk and Tjk represents kth process and technology
in firm j.
Replicating the same logic for the processes and technologies in the individual firms i and j, we can represent the process and
technological complementarities as:
Pik = function(Pim, Tik, Strategic business choices)
Tik = function(Pik, Tim, Technological choices)
Pjk = function(Pjm, Tjk, Strategic business choices)
Tjk = function(Pjk, Tjm, Technological choices)
The above sets of functions represent a way of formalizing IT value in an EE using process-process, technologytechnology, and process-technology complementarities between two organizations in an extended relationship. However, if
there are more than two participating organizations, another factor, depth of integration, will affect IT value. So, for more
than two organizations, IT value function will be:
IT Value (in EE) = function ( …., …., IOPij, IOTij, Degree of integration, Depth of integration,….,)
… (4)
In this case, degree of integration could vary across different tiers of business partners in the value chain. A model formulated
in this manner lends itself to theoretical and empirical analysis. For example, theoretical analysis could investigate the nature
of these functions in terms of supermodular characteristics (Barua et al. 1995). Such an analysis would help determine the
optimal levels of investments in technology and processes, for various organizations and their interfaces in the EE. Empirical
analysis could be conducted to verify the nature of complementarities at the EE level and relate them to complementarities
the firm level (Bresnehan and Brynjolfsson, 2001).
CONCLUSION
We have suggested an IT value framework based on the notion of complementarity in context of an EE. This framework can
be used to model the effectiveness of IT in an EE in terms of the complementarities that exist between process and
technology dimensions across and within individual firms. Case-based evidence and examples provided to support the
arguments presented in the paper seem to suggest that existing organization with strong processes stand to benefit the most
from emerging technologies. This is consistent with earlier phenomena observed in the context of ERP and IT-enabled
reengineering initiatives in the early 1990s. EEs that have existing investments in well defined processes for partnering and
governance structures are able to leverage the potential of emerging Internet technologies to experience dynamic stability
(Boynton, 1993) in a hyper-dynamic environment.
Proceedings of the Fourteenth Americas Conference on Information Systems, Toronto, ON, Canada August 14th-17th 2008
7
Kanungo et al.
Complementarity and Extended Enterprise
Implications for practitioners can be derived from the framework. A firm can determine, based on this framework, the degree
of fit between processes and technologies internal to the firm and those outside it. This allows a firm to better understand how
IT impacts the performance of the EE it participates in. From a research standpoint, this framework opens up new avenues to
investigate. Questions that deserve attention include the following: Do performance characteristics of the EE display
properties of super-modularity in terms of the inter-organizational process and technology dimensions? What are the optimal
levels of the process and technology variables in different EEs? Empirical evidence will help establish specific relationships
between the variables identified in the complementarity framework.
REFERENCES
Anonymous, “Distribution dilemmas,” The Economist, Feb 24th 2000.
Austin, R. D. “Ford Motor Company: Maximizing the value of Web Technologies,” HBR Case Study, 9-198-006, 1997.
Barua A., Lee, S. C. H., Whinston A. B. “The Calculus of Reengineering,” Information Systems Research, (7:4), 1995, pp.
409-428.
Baldi, S. and Borgman, H.P. “Consortium-Based B2B e-Marketplaces – A Case Study in the Automotive Industry,” In the
Proceedings of 14th Bled Electronic Commerce Conference Bled, Slovenia, June 25 - 26, 2001
Berinato, S. “What Went Wrong at Cisco”, CIO, (14:20), 2001, pp. 52-58.
Boynton, A. C. “Achieving Dynamic Stability through Information Technology,” California Management Review, (35:2),
1993, pp. 58-77.
Bresenahan, T. F. and Brynjolfsson, E. “Information Technology, Workplace Organization, and the Demand for Skilled
Labor: Firm-level Evidence,” Quarterly Journal of Economics, 2001
Carter, L. “Cisco‟s Virtual Close,” Harvard Business Review, Harvard Business Review, (79:4), 2001, pp. 22-23.
Cavusoglu, H., Mishra, B., Raghunathan, S. "The Value of Intrusion Detection Systems (IDSs) in Information Technology
(IT) Security," Information Systems Research, (16:1), 2005, pp. 28-46.
DeLisi, P. S. “Lessons from the Steel Axe: Culture, Technology and Organizational Change,” Sloan Management Review,
Fall , 1993, pp. 83-93.
Gulati, R. “Alliances and Network,” Strategic Management Journal, 19, 1998, pp. 293-317.
Gulati, R. , Nohria, N., and Zaheer, A. “Strategic Networks,” Strategic Management Journal, 21, 2000, pp. 203-215.
Hale, J. “From EDI to Web Services – the Evolution of E-Commerce The Role of WebSphere Integration Solutions in
Mission Critical On-line Operations,” The Butler Group, 2002.
Keen, P. G. W. Process Edge: Creating Value Where It Counts, Harvard Business School Press, Boston: MA., 1997.
Marchand, D. A., Kettinger, W. J., and Rollins, J. D. “Information Orientation: People, Technology and the Bottom Line,”
Sloan Management Review, (41:4), 2000, pp. 69-80.
Milgrom, P., Qian, Y., and Roberts, J. “Complementarities, Momentum, and the Evolution of Modern Manufacturing,”
American Economic Review, (81:2), 1991, pp. 84-88.
Newell S., Huang J.C., Galliers R.D. and Pan S.L. “Implementing enterprise resource planning and knowledge management
systems in tandem: fostering efficiency and innovation complementarity,” Information and Organization, (13:1), 2003,
pp. 25-52,.
Pentland, B. T. “Towards an Ecology of Inter-organizational Routines: A Conceptual Framework for the Analysis of Netenabled Organizations,” Proceedings of the 37th Hawaii International Conference on System Sciences, January 5-8,
2004, pp. 264-271, Big Island, Hawaii.
Porter, M. E and Millar, V. E. “How Information Gives You Competitive Advantage,” Harvard Business Review, (63:4),
1985, pp. 149-160.
Porter, M. E. “Strategy and the Internet,” Harvard Business Review, (79:3), 2001, pp. 62-78.
Putnam, R. Making Democracy Work: Civic Traditions in Modern Italy, Princeton, NJ: Princeton University Press, 1993.
Proceedings of the Fourteenth Americas Conference on Information Systems, Toronto, ON, Canada August 14th-17th 2008
8
Kanungo et al.
Complementarity and Extended Enterprise
Riggins F.J., Kriebel, C.H., and Mukhopadhyay, T. “The Growth of Interorganizational Systems In the Presence of Network
Externalities,” Management Science, 40(8), 1994, pp. 984-998
Proceedings of the Fourteenth Americas Conference on Information Systems, Toronto, ON, Canada August 14th-17th 2008
9