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GROUP DECISION MAKING UNDER CONDITIONS OF DISTRIBUTED KNOWLEDGE: THE INFORMATION ASYMMETRIES MODEL

机译:分布式知识条件下的群体决策:信息不对称模型

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摘要

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.
机译:我们提供了一个理论模型,该模型综合并扩展了决策团队无法有效使用在其成员之间分布的信息的失败的当前解释。我们建议,如果在信息分配中存在某些不对称性,而在信息处理中不存在某些不对称性,则群体可以胜过个人决策者和投票方案。如何实现这一点,我们通过回顾相关文献得出。最后,我们讨论了未来研究的方向和实际意义。

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