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Metagraphs: A Tool for Modeling Decision Support Systems

Author

Listed:
  • Amit Basu

    (Owen Graduate School of Management, Vanderbilt University, Nashville, Tennessee 37203)

  • Robert W. Blanning

    (Owen Graduate School of Management, Vanderbilt University, Nashville, Tennessee 37203)

Abstract

Most decision support systems (DSS) contain stored data, data analysis procedures, and decision models. However, many DSS have grown to the point that the average end user is presented with a bewildering array of information resources that are difficult to manage in an effective manner. As a result users often gravitate to a few familiar models and are unaware of the data resources available to them and how these resources relate to the various models. For example, they may think that a model requires data that is unavailable, when in fact that data has recently been added to the data base or could be calculated from another model. Or they may believe that all of the data needed to execute a set of models is available and find out well into the analysis that it is not. Existing tools for DSS design do not provide an effective and comprehensive foundation for modeling all the components of a DSS, or for addressing all the important DSS analysis and design issues. In this paper we show how a new graph-theoretic structure, called a metagraph, can be used as a unifying basis for addressing many important questions in DSS development and use.

Suggested Citation

  • Amit Basu & Robert W. Blanning, 1994. "Metagraphs: A Tool for Modeling Decision Support Systems," Management Science, INFORMS, vol. 40(12), pages 1579-1600, December.
    • Handle: RePEc:inm:ormnsc:v:40:y:1994:i:12:p:1579-1600
    DOI: 10.1287/mnsc.40.12.1579
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    Citations

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    Cited by:

    1. Gayialis, Sotiris P. & Tatsiopoulos, Ilias P., 2004. "Design of an IT-driven decision support system for vehicle routing and scheduling," European Journal of Operational Research, Elsevier, vol. 152(2), pages 382-398, January.
    2. Gelman, Irit Askira, 2005. "Addressing time-scale differences among decision-makers through model abstractions," European Journal of Operational Research, Elsevier, vol. 160(2), pages 325-335, January.
    3. Amit Basu & Robert W. Blanning, 2003. "Synthesis and Decomposition of Processes in Organizations," Information Systems Research, INFORMS, vol. 14(4), pages 337-355, December.
    4. Amit Basu & Akhil Kumar, 2002. "Research Commentary: Workflow Management Issues in e-Business," Information Systems Research, INFORMS, vol. 13(1), pages 1-14, March.
    5. Amit Basu & Robert W. Blanning, 2000. "A Formal Approach to Workflow Analysis," Information Systems Research, INFORMS, vol. 11(1), pages 17-36, March.
    6. Eom, S. B., 1995. "Decision support systems research: Reference disciplines and a cumulative tradition," Omega, Elsevier, vol. 23(5), pages 511-523, October.
    7. Amit Basu & Robert W. Blanning, 1998. "The Analysis of Assumptions in Model Bases Using Metagraphs," Management Science, INFORMS, vol. 44(7), pages 982-995, July.
    8. Basu, A. & Blanning, R. W., 1995. "Metagraphs," Omega, Elsevier, vol. 23(1), pages 13-25, February.
    9. Avgerou, Chrisanthi, 2000. "Information systems: what sort of science is it?," Omega, Elsevier, vol. 28(5), pages 567-579, October.
    10. Sherry X. Sun & J. Leon Zhao & Jay F. Nunamaker & Olivia R. Liu Sheng, 2006. "Formulating the Data-Flow Perspective for Business Process Management," Information Systems Research, INFORMS, vol. 17(4), pages 374-391, December.

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