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Information Processing and Programmed Decision Systems

Author

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  • Charles H. Kriebel

    (Carnegie-Mellon University)

Abstract

The capacity to evaluate decisions and information within a unified analytical model of the firm is at best a complex task. Even if, for the sake of simplicity, we ignore the effects of human behavior within organizations, most research on information processing design and evaluation has sought simulation in lieu of an explicit mathematical model. The purpose of this discussion is to suggest some practical extensions of the decision theory model for the design of management information processing systems and to illustrate these ideas through the detailed analysis of an aggregate planning problem.

Suggested Citation

  • Charles H. Kriebel, 1969. "Information Processing and Programmed Decision Systems," Management Science, INFORMS, vol. 16(3), pages 149-164, November.
    • Handle: RePEc:inm:ormnsc:v:16:y:1969:i:3:p:149-164
    DOI: 10.1287/mnsc.16.3.149
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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. Edward A. Stohr, 1977. "Information Systems for Observing Inventory Levels," Discussion Papers 243, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

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