A Dynamic lnteractional Model of Inter-Organizational System Adoption: The Case of Category Management Adoption in Australia

Adoption of inter-organizational systems (IOS) to improve supply chain efficiency has proved to be difficult because it spans organizational boundaries. Most IOS adoption studies have employed the factor approach that typically involves an identification of situational factors that affect the adoption by individual firms. This study argues that such an approach is unable to completely capture the richness of IOS adoption experience of organization and demonstrates the necessity to use a dynamic interactional model of IOS adoption to overcome the limitations of the factor approach. Using the findings of Category Management adoption in Australia, the paper illustrates how the dynamic interactional model captures the reciprocal interactions between the adopting firms with their inter-organizational environment in the course of adoption.

[1]  Gabriel Szulanski,et al.  Diffusion of innovations within organizations: electronic switching in the Bell system , 1997 .

[2]  A. Giddens.  Central Problems in Social Theory: Action, Structure and Contradiction in Social Analysis , 1979 .

[3]  Izak Benbasat,et al.  The Case Research Strategy in Studies of Information Systems , 1987, MIS Q..

[4]  Geoff Walsham,et al.  Structuration Theory and Information Systems Research , 1990, ICIS.

[5]  Christopher P. Holland,et al.  Cooperative supply chain management: the impact of interorganizational information systems , 1995, J. Strateg. Inf. Syst..

[6]  Lisa M. Ellram,et al.  Partnering Pitfalls and Success Factors , 1995 .

[7]  Paul J. Hart,et al.  Power and Trust: Critical Factors in the Adoption and Use of Electronic Data Interchange , 1997 .

[8]  Thiagarajan Ravichandran,et al.  How to anticipate the Internet's global diffusion , 1998, CACM.

[9]  Jeremy Rose.  Frameworks for Practice - Structural Theories of IS , 1999, ECIS.

[10]  Sherah Kurnia,et al.  The need for a processual view of inter-organizational systems adoption , 2000, J. Strateg. Inf. Syst..

[11]  Shirley Gregor,et al.  Developing an Understanding of Interorganizational Systems: Arguments for Multi-Level Analysis and Structuration Theory , 2000, ECIS.

[12]  David K. Allen,et al.  Trust, power and interorganizational information systems: the case of the electronic trading community TransLease , 2000, Inf. Syst. J..

[13]  Sherah Kurnia,et al.  Adoption of efficient consumer response: the issue of mutuality , 2001 .

[14]  Robert B. Johnston,et al.  A Barriers Framework for Understanding Just-in-time Implementation in Small Manufacturing Enterprises , 2001 .

[15]  Izak Benbasat,et al.  Research Report: Empirical Test of an EDI Adoption Model , 2001, Inf. Syst. Res..

[16]  Sherah Kurnia,et al.  Understanding the Diffusion of Efficient Consumer Response: an Australian survey study , 2002, Australas. J. Inf. Syst..

[17]  Kazuyuki Sekitani,et al.  A Use of Analytic Network Process for Supply Chain Management , 2004 .

[18]  Youxu C. Tjader,et al.  Supply Chain Efficiency: E-Business Adaptation and SC Member Relationship , 2004 .