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Influence Allocation Methods in Group Decision Support Systems

Author

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  • Pierre A. Balthazard

    (University of North Carolina at Greensboro)

  • William R. Ferrell

    (University of Arizona)

  • Dorothy L. Aguilar

    (University of Arizona)

Abstract

Influence allocation processes are voting and opinion aggregating methods that allow members to distribute some or all of their decision making influence to others in the group in order to exploit not only the group's knowledge of the alternatives, but its knowledge of itself. Only with the common use of group decision support systems (GDSS) has their use become practical. In this paper we reconsider SPAN, an influence allocation process introduced by MacKinnon (1966a). Experimental comparison shows SPAN to be significantly better at selecting a correct option from a set of options than two common voting methods. An alternative influence allocation process that we call RCON (Rational Consensus), is based on a weighting method proposed by DeGroot (1974) and has been explicated as a normative standard for combining opinion by Lehrer and Wagner (1981). The judgmental inputs to SPAN would appear to be logically related to those for RCON. Submitting the SPAN inputs from the experiment, transformed in this logical way, to the RCON process results in somewhat better performance than with SPAN. However, evidence indicated that the two methods are conceptually and psychologically sufficiently different that an experimental comparison is needed between them.

Suggested Citation

  • Pierre A. Balthazard & William R. Ferrell & Dorothy L. Aguilar, 1998. "Influence Allocation Methods in Group Decision Support Systems," Group Decision and Negotiation, Springer, vol. 7(4), pages 347-362, July.
    • Handle: RePEc:spr:grdene:v:7:y:1998:i:4:d:10.1023_a:1008638222056
    DOI: 10.1023/A:1008638222056
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    References listed on IDEAS

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    1. Morris H. DeGroot & Julia Mortera, 1991. "Optimal Linear Opinion Pools," Management Science, INFORMS, vol. 37(5), pages 546-558, May.
    2. Ouchi, William, 1981. "Theory Z: How American business can meet the Japanese challenge," Business Horizons, Elsevier, vol. 24(6), pages 82-83.
    3. J. F. Nunamaker & Lynda M. Applegate & Benn R. Konsynski, 1988. "Computer-Aided Deliberation: Model Management and Group Decision Support," Operations Research, INFORMS, vol. 36(6), pages 826-848, December.
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    1. Long, Yilu & Tang, Ming & Liao, Huchang, 2022. "Renewable energy source technology selection considering the empathetic preferences of experts in a cognitive fuzzy social participatory allocation network," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

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