Incorporating theories of group dynamics in group decision support system (GDSS) design

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.