Group Decision Making Under Conditions of Distributed Knowledge

We present a theoretical model that synthesizes and expands current explanations of the failure of decision-making groups to effectively use information that is distributed among their members. We propose that groups can outperform individual decision makers and voting schemes if certain asymmetries in information distribution are present and certain asymmetries in information processing are absent. How to achieve this we deduce from a review of the relevant literature. Finally, we discuss directions for future research and practical implications.