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GDSS Parameters and Benefits

In: Handbook on Decision Support Systems 1

Author

Listed:
  • Jay F. Nunamaker

    (University of Arizona)

  • Amit V. Deokar

    (Dakota State University)

Abstract

Group decision support system (GDSS) technology is designed to directly impact and change the behavior of groups to improve group effectiveness, efficiency, and satisfaction, and has been studied for more than two decades by researchers. However, as a tool, it is appropriate for use in situations with certain characteristics and is not useful in others. This chapter delineates and discusses some of the key parameters of this approach based on a research model. Parameters are classified based on whether they are related to the technology, group, task, or context. Their benefits for GDSS outcomes are discussed to provide insight into the group decision-making process.

Suggested Citation

  • Jay F. Nunamaker & Amit V. Deokar, 2008. "GDSS Parameters and Benefits," International Handbooks on Information Systems, in: Handbook on Decision Support Systems 1, chapter 20, pages 391-414, Springer.
    • Handle: RePEc:spr:ihichp:978-3-540-48713-5_20
    DOI: 10.1007/978-3-540-48713-5_20
    as

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    Citations

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    Cited by:

    1. Steven D. Silver, 2021. "Dynamics of Negative Evaluations in the Information Exchange of Interactive Decision-Making Teams: Advancing the Design of Technology-Augmented GDSS," Information Systems Frontiers, Springer, vol. 23(6), pages 1621-1642, December.
    2. von der Gracht, Heiko A. & Hommel, Ulrich & Prokesch, Tobias & Wohlenberg, Holger, 2016. "Testing weighting approaches for forecasting in a Group Wisdom Support System environment," Journal of Business Research, Elsevier, vol. 69(10), pages 4081-4094.
    3. Mausumi Bose & Rahul Mukerjee, 2021. "Shorter prediction intervals for anonymous individual assessments in group decision-making via pairwise comparisons," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(3), pages 833-857, October.
    4. S. Bajracharya & G. Carenini & B. Chamberlain & K. Chen & D. Klein & D. Poole & H. Taheri & G. Öberg, 2018. "Interactive Visualization for Group Decision Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(06), pages 1839-1864, November.

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