The failure of SDT diffusion: a case for mass customization

The implementation of software-development technologies (SD's) is a process of mutual adaptation of the technology and the environment. Organizations that purchase an SDT from a vendor will almost inevitably need to adapt both the new technology and their environment-processes that can be costly. This study examines data related to the deployment of two SDTs that have been identified as problematic in diffusion and deployment-system development methodologies and computer-aided software engineering tools. The amount and nature of adaptation that must occur after adoption was found to affect the deployment of the SDTs studied. Based on these findings, a research framework is proposed, addressing the role of the SDT vendor in managing the environment for adaptation. The framework relates vendors' production strategies to the amount of adaptation required, offering suggestions for moving technology adaptation into the production process. Within this framework, a research agenda for investigating the applicability of mass customization to SDTs is proposed.

[1]  Bart Victor,et al.  New Competitive Strategies: Challenges to Organizations and Information Technology , 1993, IBM Syst. J..

[2]  M. Fleischer,et al.  processes of technological innovation , 1990 .

[3]  Dave Olson.  Exploiting Chaos: Cashing in on the Realities of Software Development , 1992 .

[4]  Robert G. Fichman,et al.  International Conference on Information Systems ( ICIS ) 1992 INFORMATION TECHNOLOGY DIFFUSION : A REVIEW OF EMPIRICAL RESEARCH , 2017 .

[5]  Roland Mittermeir,et al.  A commonsense management model , 1991, IEEE Software.

[6]  Robert L. Glass,et al.  Software Creativity , 1995 .

[7]  N. Venkatraman,et al.  Beyond business process redesign: redefining Baxter's business network. , 1992, Sloan management review.

[8]  Daniel A. Levinthal,et al.  ABSORPTIVE CAPACITY: A NEW PERSPECTIVE ON LEARNING AND INNOVATION , 1990 .

[9]  Chris F. Kemerer,et al.  Object-oriented and conventional analysis and design methodologies , 1992, Computer.

[10]  B. J. Pine,et al.  Making mass customization work , 1993 .

[11]  A. V. Sioukas,et al.  User involvement for effective customization: an empirical study on voice networks , 1995 .

[12]  Judy Bayer,et al.  A critique of diffusion theory as a managerial framework for understanding adoption of software engineering innovations , 1989, [1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume II: Software track.

[13]  M. Lynne Markus,et al.  Toward a “Critical Mass” Theory of Interactive Media , 1987 .

[14]  D. Leonard-Barton,et al.  Implementation as mutual adaptation of technology and organization , 1988 .

[15]  Wanda J. Orlikowski,et al.  CASE Tools as Organizational Change: Investigating Incremental and Radical Changes in Systems Development , 1993, MIS Q..

[16]  B. Joseph Pine,et al.  Design, Test, and Validation of the Application System/400 Through Early User Involvement , 1989, IBM Syst. J..

[17]  Erran Carmel,et al.  A process model for packaged software development , 1995 .

[18]  Andrew C. Boynton,et al.  Beyond Flexibility: Building and Managing the Dynamically Stable Organization , 1991 .