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Descriptive Analysis for Computer-Based Decision Support

Author

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  • Mark S. Silver

    (University of California, Los Angeles, California)

Abstract

This article studies the issue of descriptive analysis for Decision Support Systems (DSS). Much of the DSS research literature concentrates on the procedural aspects of building support systems rather than on the substantive issues of their content. If we are to expand our knowledge of DSS, however, it is important to complement our understanding of the process of their development with a means for describing and differentiating DSS. In particular, a descriptive mechanism should pay careful attention to those features of DSS that determine the effects a support system has on the decision making processes of its users. A three-tiered approach to describing DSS is proposed, consisting of the following sequence of analytical levels: functional capabilities, user views of system components, and system attributes (restrictiveness, guidance, and focus). Moving from the first through the third tiers, increasing attention is paid to examining DSS in their entirety and to considering their effects on decision making processes.

Suggested Citation

  • Mark S. Silver, 1988. "Descriptive Analysis for Computer-Based Decision Support," Operations Research, INFORMS, vol. 36(6), pages 904-916, December.
    • Handle: RePEc:inm:oropre:v:36:y:1988:i:6:p:904-916
    DOI: 10.1287/opre.36.6.904
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    Cited by:

    1. Vetschera, Rudolf & Walterscheid, Heinz, 1993. "A process-oriented framework for the evaluation of managerial support systems," Discussion Papers, Series I 264, University of Konstanz, Department of Economics.
    2. Seow, Poh-Sun, 2011. "The effects of decision aid structural restrictiveness on decision-making outcomes," International Journal of Accounting Information Systems, Elsevier, vol. 12(1), pages 40-56.
    3. Clayton Arlen Looney & Andrew M. Hardin, 2009. "Decision Support for Retirement Portfolio Management: Overcoming Myopic Loss Aversion via Technology Design," Management Science, INFORMS, vol. 55(10), pages 1688-1703, October.
    4. Xingyu Xiao & Jingang Liang & Jiejuan Tong & Haitao Wang, 2024. "Emergency Decision Support Techniques for Nuclear Power Plants: Current State, Challenges, and Future Trends," Energies, MDPI, vol. 17(10), pages 1-35, May.

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