Abstract
GDSS design can enhance decision-making by managing information exchange patterns (e.g. ideas, facts, questions, evaluations) in groups. Groups cycle through stages involving identifiable information exchange patterns, and the optimal pattern depends on the group's stage. A GDSS that manages information exchange patterns can improve decision quality. Developing such a system requires formally modeling optimal information exchange patterns. This paper presents exemplary models and research identifying key parameters for developing future models. The models indicate the benefits of large-scale collective decisionmaking. The paper discusses the principles, benefits, and challenges of developing such a GDSS that incorporates theories of group dynamics in systems design.
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