Toward a Contingency Model for Selecting an Information System Prototyping Strategy

Many proposed contingencies regarding the conditions when the use of prototyping will lead to successful system development appear in the literature. Using an industry survey, this exploratory study empirically investigates the effect of certain contingencies on system success. Overall, results indicate that five variables, when combined with prototyping, affect system success (as indicated by user satisfaction): innovativeness of the project, impact of the system on the organization, user participation, number of users, and developer experience with prototyping. These results provide some insight into the proper uses of prototyping to improve system success. The results also indicate that several of the current contingencies, if followed, do not ensure high levels of system success.

[1]  John C. Henderson,et al.  Technology-Process Fit: Perspectives on Achieving Prototyping Effectiveness , 1991, J. Manag. Inf. Syst..

[2]  Tor Guimaraes,et al.  The Determinants of DSS Success: An Integrated Model* , 1992 .

[3]  Alan R. Dennis,et al.  Selecting the appropriate application development methodology , 1985, DATB.

[4]  D. R. Graham Incremental development: review of nonmonolithic life-cycle development models , 1989 .

[5]  J. D. Naumann,et al.  A survey of applications systems prototyping in industry , 1984, Inf. Manag..

[6]  Paul H. Cheney,et al.  Concepts, Theory, and Techniques: FACTORS AFFECTING THE PERCEIVED UTILIZATION OF COMPUTER-BASED DECISION SUPPORT SYSTEMS IN THE OIL INDUSTRY , 1982 .

[7]  Maryam Alavi,et al.  An assessment of the prototyping approach to information systems development , 1984, CACM.

[8]  Rudy Hirschheim,et al.  A Paradigmatic Analysis Contrasting Information Systems Development Approaches and Methodologies , 1998, Inf. Syst. Res..

[9]  Justus D. Naumann,et al.  Empirical investigation of systems development practices and results , 1984, Inf. Manag..

[10]  James C. Wetherbe,et al.  Key Issues in Information Systems Management: 1994-95 SIM Delphi Results , 1996, MIS Q..

[11]  Prashant Palvia,et al.  Key MIS Issues for the 1990s: A Content Analysis , 1996 .

[12]  Blake Ives,et al.  The measurement of user information satisfaction , 1983, CACM.

[13]  Edward J. Garrity,et al.  A Problem-solving Perspective on Systems Development , 1990, J. Manag. Inf. Syst..

[14]  June M. Verner,et al.  Prototyping: Does Your View of its Advantages Depend on Your Job? , 1997, J. Syst. Softw..

[15]  Roger S. Pressman,et al.  Software Engineering: A Practitioner's Approach , 1982 .

[16]  D. A. Kenny,et al.  The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.

[17]  Brian L. Dos Santos,et al.  MIS Project Management: A Contingency Approach , 1988 .

[18]  Gordon B. Davis,et al.  Determining information requirements: A contingency method for selection of a requirements assurance strategy , 1984, J. Syst. Softw..

[19]  F. McFarlan,et al.  The information archipelago--plotting a course. , 1983, Harvard business review.

[20]  Yash P. Gupta DIRECTIONS OF STRUCTURED APPROACHES IN SYSTEM DEVELOPMENT , 1988 .

[21]  F. W. McFarlan,et al.  Portfolio approach to information systems , 1989 .

[22]  Tor Guimaraes,et al.  Successful Strategies for User Participation in Systems Development , 1997, J. Manag. Inf. Syst..

[23]  Randy S. Weinberg Prototyping and the Systems Development Life Cycle , 1991 .

[24]  Jens Liegle,et al.  The efficacy of matching information systems development methodologies with application characteristics - an empirical study , 1999, J. Syst. Softw..

[25]  Naveed Saleem,et al.  An Empirical Test of the Contingency Approach to User Participation in Information Systems Development , 1996, J. Manag. Inf. Syst..

[26]  William J. Doll,et al.  The Measurement of End-User Computing Satisfaction , 1988, MIS Q..

[27]  James F. Courtney,et al.  A Field Study of Organizational Factors Influencing DSS Success , 1985, MIS Q..

[28]  Peter Weill,et al.  An Assessment of the Contingency Theory of Management Information Systems , 1989, J. Manag. Inf. Syst..

[29]  E. Reed Doke An industry survey of emerging prototyping methodologies , 1990, Inf. Manag..

[30]  Stefan H. Thomke,et al.  Managing Experimentation in the Design of New Products , 1998 .

[31]  Elazar J. Pedhazur,et al.  Measurement, Design, and Analysis: An Integrated Approach , 1994 .

[32]  James C. Wetherbe,et al.  Key issues in information systems management , 1987 .

[33]  Jan Stage,et al.  Controlling Prototype Development Through Risk Analysis , 1996, MIS Q..

[34]  E. R. Doke,et al.  Decision variables for selecting prototyping in information systems development: A Delphi study of MIS managers , 1995, Inf. Manag..

[35]  Bill C. Hardgrave When to prototype: decision variables used in industry , 1995, Inf. Softw. Technol..

[36]  Ritu Agarwal,et al.  Cognitive Fit in Requirements Modeling: A Study of Object and Process Methodologies , 1996, J. Manag. Inf. Syst..

[37]  Jean Scholtz Technology transfer through prototypes , 1996, CACM.

[38]  Wanda J. Orlikowski,et al.  A Short Form Measure of User Information Satisfaction: A Psychometric Evaluation and Notes on Use , 1987, J. Manag. Inf. Syst..

[39]  June M. Verner,et al.  Prototyping: some new results , 1996, Inf. Softw. Technol..

[40]  Merle P. Martin,et al.  Converting prototypes to operational systems: evidence from preliminary industrial survey , 1991 .

[41]  T. Cook,et al.  Quasi-experimentation: Design & analysis issues for field settings , 1979 .

[42]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[43]  Maryam Alavi The evolution of information systems development approach: some field observations , 1984, DATB.

[44]  Ananth Srinivasan,et al.  Relationships between selected organizational factors and systems development , 1987, CACM.