优化团队组成的个人选择标准

IF 0.9 4区 经济学 Q3 ECONOMICS Theory and Decision Pub Date : 2023-12-23 DOI:10.1007/s11238-023-09960-w
Lu Hong, Scott E. Page
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引用次数: 0

摘要

在本文中,我们推导了基于团队任务的必要条件和充分条件,以便应用于个体的选择标准能够产生最佳团队。我们仅假定个体具有类型,团队的绩效取决于其规模和成员的类型组成。我们首先推导出选择原则,该原则指出,如果存在选择标准,那么它必须根据同质团队绩效(即仅由该类型成员组成的团队的绩效)对类型进行排序。然后,我们证明,当且仅当用排名较高的类型替换团队中排名最低的类型(以同质团队绩效衡量)时,选择标准才会提高团队绩效。最后,我们证明,替换排名最低的类型这一特性排除了大多数常见的团队互补类型,包括对不同类型和填补结构性漏洞的类型的益处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Individual selection criteria for optimal team composition

In this paper, we derive necessary and sufficient conditions on team based tasks in order for a selection criterion applied to individuals to produce optimal teams. We assume only that individuals have types and that a team’s performance depends on its size and the type composition of its members. We first derive the selection principle which states that if a selection criterion exists, it must rank types by homogeneous team performance, the performance of a team consisting only of that type. We then prove that a selection criterion exists if and only if replacing the team’s lowest ranked type, as measured by homogeneous team performance, with a higher ranked type increases team performance. Finally, we show that the replace the lowest ranked property rules out most common types of team complementarities, including benefits to diverse types and types that fill structural holes.

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来源期刊
CiteScore
1.60
自引率
0.00%
发文量
62
期刊介绍: The field of decision has been investigated from many sides. However, research programs relevant to decision making in psychology, management science, economics, the theory of games, statistics, operations research, artificial intelligence, cognitive science and analytical philosophy have remained separate. Theory and Decision is devoted to all aspects of decision making belonging to such programs, but addresses also possible cross-fertilizations between these disciplines which would represent effective advances in knowledge. The purpose of the journal is to let the engineering of choice gradually emerge both for individual and for collective decision making. Formalized treatments will be favoured, to the extent that they provide new insights into the issues raised and an appropriate modeling of the situation considered. Due to its growing importance, expermentation in decision making as well as its links to the cognitive sciences will be granted special attention by Theory and Decision. Of particular interest are: Preference and belief modeling, Experimental decision making under risk or under uncertainty, Decision analysis, multicriteria decision modeling, Game theory, negotiation theory, collective decision making, social choice, Rationality, cognitive processes and interactive decision making, Methodology of the decision sciences. Applications to various problems in management and organization science, economics and finance, computer-supported decision schemes, will be welcome as long as they bear on sufficiently general cases. Analysis of actual decision making processes are also relevant topics for the journal, whether pertaining to individual, collective or negotiatory approaches; to private decisions or public policies; to operations or to strategic choices. Officially cited as: Theory Decis
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