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ISMS: Computer-Aided Analysis for Design of Decision-Support Systems

Author

Listed:
  • James V. Hansen

    (Indiana University)

  • Lynn J. McKell

    (Arthur Young & Company)

  • Lester E. Heitger

    (Indiana University)

Abstract

This paper demonstrates concepts, collectively termed interpretive structural modeling, which can aid in the development of decision-support systems through: (1) creating a structure which helps identify the presence or absence of information necessary for decision-making; (2) providing a convenient framework for evaluating control subsystems; (3) defining levels in the system hierarchy; (4) specifying subsystems at each level, and (5) facilitating user participation in the design process. The procedures described operate without the requirement of an a priori knowledge of system structure. This feature and the programmability of the approach (ISMS) help analysts and users think and communicate effectively about complex design issues.

Suggested Citation

  • James V. Hansen & Lynn J. McKell & Lester E. Heitger, 1979. "ISMS: Computer-Aided Analysis for Design of Decision-Support Systems," Management Science, INFORMS, vol. 25(11), pages 1069-1081, November.
    • Handle: RePEc:inm:ormnsc:v:25:y:1979:i:11:p:1069-1081
    DOI: 10.1287/mnsc.25.11.1069
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    Cited by:

    1. 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.
    2. Suchismita Satapathy & Saroj Patel & Amitabha Biswas & Pravudatta Mishra, 2012. "Interpretive structural modeling for E-electricity utility service," Service Business, Springer;Pan-Pacific Business Association, vol. 6(3), pages 349-367, September.

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