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Supporting consensus formation in Group Support Systems using the Qualitative Discriminant Process

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  • Noel Bryson

Abstract

Group Support Systems (GSS) are software systems that support group work, providing facilities for idea generation, idea organization, rating and ranking, communication, and recording of ideas. Because preference tasks occur frequently in organizational work, the rating and ranking facility is one of the most popular features of GSS. Nevertheless, this area has not received the attention it deserves in GSS research. Ratings in group decision-making contexts require techniques for synthesizing individual scores into group scores. Because the application of these techniques is only meaningful when there exists a relatively high level of consensus that is obtained through human interaction, there is the need for techniques to assess the level of group consensus, and also for supporting consensus build-ing. In this paper, an integrated method for rating and ranking, consensus assessment and consensus building is presented. This approach permits ambiguity in the ratings and yet provides appropriate interval and point numeric estimates; it offers interpretable similarity measures and consensus indicators. Copyright Kluwer Academic Publishers 1997

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  • Noel Bryson, 1997. "Supporting consensus formation in Group Support Systems using the Qualitative Discriminant Process," Annals of Operations Research, Springer, vol. 71(0), pages 75-91, January.
    • Handle: RePEc:spr:annopr:v:71:y:1997:i:0:p:75-91:10.1023/a:1018983818299
    DOI: 10.1023/A:1018983818299
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    Cited by:

    1. Parra-Lopez, Carlos & Calatrava-Requena, Javier & de-Haro-Gimenez, Tomas, 2008. "A systemic comparative assessment of the multifunctional performance of alternative olive systems in Spain within an AHP-extended framework," Ecological Economics, Elsevier, vol. 64(4), pages 820-834, February.
    2. González-Pachón, Jacinto & Romero, Carlos, 2011. "The design of socially optimal decisions in a consensus scenario," Omega, Elsevier, vol. 39(2), pages 179-185, April.
    3. Barclay, Corlane & Osei-Bryson, Kweku-Muata, 2010. "Project performance development framework: An approach for developing performance criteria & measures for information systems (IS) projects," International Journal of Production Economics, Elsevier, vol. 124(1), pages 272-292, March.
    4. Ricardo J. G. Mateus & João C. Bana e Costa & Pedro Verga Matos, 2017. "Supporting Multicriteria Group Decisions with MACBETH Tools: Selection of Sustainable Brownfield Redevelopment Actions," Group Decision and Negotiation, Springer, vol. 26(3), pages 495-521, May.
    5. Gong, Zaiwu & Zhang, Huanhuan & Forrest, Jeffrey & Li, Lianshui & Xu, Xiaoxia, 2015. "Two consensus models based on the minimum cost and maximum return regarding either all individuals or one individual," European Journal of Operational Research, Elsevier, vol. 240(1), pages 183-192.
    6. Fu, Chao & Yang, Shanlin, 2012. "An evidential reasoning based consensus model for multiple attribute group decision analysis problems with interval-valued group consensus requirements," European Journal of Operational Research, Elsevier, vol. 223(1), pages 167-176.
    7. Ozgur Turetken, 2008. "Is your back-up IT infrastructure in a safe location?," Information Systems Frontiers, Springer, vol. 10(3), pages 375-383, July.

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