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Effects on Decision Quality of Supporting Multi-attribute Evaluation in Groups

Timmermans1, Vlek

  • 1Leiden University, Leiden, The Netherlands

Organizational Behavior and Human Decision Processes
|November 1, 1996
PubMed
Summary

Multi-attribute utility (MAU) decision support aids simple personnel selection by improving agreement and satisfaction. For complex problems, however, group decision-making without MAU support is preferred.

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Area of Science:

  • Decision Science
  • Cognitive Psychology
  • Organizational Behavior

Background:

  • Group decision-making effectiveness varies with problem complexity.
  • Multi-attribute utility (MAU) decision support tools aim to structure complex choices.
  • The impact of MAU support on group dynamics and outcomes requires further investigation.

Purpose of the Study:

  • To evaluate the effectiveness of MAU decision support in group personnel selection tasks.
  • To compare MAU support versus no support across problems of varying complexity.
  • To assess the influence of MAU support on individual and group decision outcomes and satisfaction.

Main Methods:

  • Participants made individual decisions, then group decisions on personnel selection problems.

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  • MAU decision support was provided to individuals and/or groups.
  • Problem complexity was manipulated, and outcomes like agreement, satisfaction, and perceived influence were measured.

    • Main Results:

    • For simple problems, combined individual and group MAU support enhanced agreement, satisfaction, and communication.
    • For complex problems, group decision-making without MAU support yielded more favorable evaluations.
    • Individual MAU support offered some benefits for complex problems, but group MAU support was less effective.

    Conclusions:

    • MAU decision support is beneficial for simple group selection tasks, improving process and outcomes.
    • For complex group selection, avoiding group MAU support may lead to better perceived outcomes.
    • The utility of MAU decision support is contingent on the complexity of the decision problem.