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OR Practice—Computer-Based Models for Policy Making: Uses and Impacts in the U.S. Federal Government

Author

Listed:
  • Kenneth L. Kraemer

    (University of California, Irvine, California)

  • John Leslie King

    (University of California, Irvine, California)

Abstract

This paper examines factors influencing implementation and use of computer models that have been successfully institutionalized as part of federal policy-making. It is based upon detailed case studies of two kinds of models that have been widely assimilated and used in federal agencies—microanalytic simulation models and macroeconomic models. It concludes that the most important influences on successful modeling are the means to do modeling (supply factors) and the desire of bureaucrats and politicians to use model-generated information (demand factors). Of these, demand factors are most important. The availability and promotion of computer models alone is insufficient to generate use, whereas their political saliency is critical. Thus, where the means to do modeling are weak, but the desire to use models is strong, government agencies invest heavily in the creation of new modeling efforts.

Suggested Citation

  • Kenneth L. Kraemer & John Leslie King, 1986. "OR Practice—Computer-Based Models for Policy Making: Uses and Impacts in the U.S. Federal Government," Operations Research, INFORMS, vol. 34(4), pages 501-512, August.
    • Handle: RePEc:inm:oropre:v:34:y:1986:i:4:p:501-512
    DOI: 10.1287/opre.34.4.501
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    Cited by:

    1. Ricardo A. Santa & Alejandro Acosta & Silvio Borrero & Annibal Scavarda, 2020. "Corporate, operational, and information systems strategies: Alignment and firm performance," Estudios Gerenciales, Universidad Icesi, vol. 36(157), pages 454-464, December.

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