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An Evolutionary Strategy for Implementing a Decision Support System

Author

Listed:
  • Maryam Alavi

    (University of Houston)

  • John C. Henderson

    (Florida State University)

Abstract

This paper investigates two alternative strategies for implementing Decision Support Systems (DSS): evolutionary and traditional. The evolutionary approach utilizes judgement modeling (boot strapping) as a means to create felt need, to provide insight into the decision process and the implied weighting of decision variables, and to establish a learning-based, participatory implementation strategy. In contrast, the traditional approach is characterized by a problem solving orientation wherein the DSS is portrayed as providing a valuable "product" that can be theoretically justified. Decision making in a simulated production environment is used to test the alternative strategies. Decision style is also included in the experimental design. Results indicate significantly higher utilization of the DSS with the evolutionary approach. Decision style findings are consistent with reported research.

Suggested Citation

  • Maryam Alavi & John C. Henderson, 1981. "An Evolutionary Strategy for Implementing a Decision Support System," Management Science, INFORMS, vol. 27(11), pages 1309-1323, November.
    • Handle: RePEc:inm:ormnsc:v:27:y:1981:i:11:p:1309-1323
    DOI: 10.1287/mnsc.27.11.1309
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    Citations

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    Cited by:

    1. Au, Norman & Ngai, Eric W. T. & Cheng, T. C. Edwin, 2002. "A critical review of end-user information system satisfaction research and a new research framework," Omega, Elsevier, vol. 30(6), pages 451-478, December.
    2. Nadine Kafa & Anicia Jaegler & Joseph Sarkis, 2020. "Harnessing Corporate Sustainability Decision-Making Complexity: A Field Study of Complementary Approaches," Sustainability, MDPI, vol. 12(24), pages 1-23, December.
    3. Bernard Burnes & Rune By, 2012. "Leadership and Change: The Case for Greater Ethical Clarity," Journal of Business Ethics, Springer, vol. 108(2), pages 239-252, June.
    4. Daniel Schatz & Rabih Bashroush, 0. "Economic valuation for information security investment: a systematic literature review," Information Systems Frontiers, Springer, vol. 0, pages 1-24.
    5. Gelderman, Maarten, 1997. "Task difficulty, task variability and satisfaction with management support systems: consequences and solutions ˜," Serie Research Memoranda 0053, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    6. Daniel Schatz & Rabih Bashroush, 2017. "Economic valuation for information security investment: a systematic literature review," Information Systems Frontiers, Springer, vol. 19(5), pages 1205-1228, October.
    7. Rajiv D. Banker & Robert J. Kauffman, 2004. "50th Anniversary Article: The Evolution of Research on Information Systems: A Fiftieth-Year Survey of the Literature in Management Science," Management Science, INFORMS, vol. 50(3), pages 281-298, March.
    8. Andrew Burton-Jones & Detmar W. Straub, 2006. "Reconceptualizing System Usage: An Approach and Empirical Test," Information Systems Research, INFORMS, vol. 17(3), pages 228-246, September.

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