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How to get the timing right. A computational model of the effects of the timing of contacts on team cohesion in demographically diverse teams

机译:如何正确安排时间。在人口统计学差异的团队中,联系时间对团队凝聚力影响的计算模型

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Lau and Murnighan's faultline theory explains negative effects of demographic diversity on team performance as consequence of strong demographic fault-lines. If demographic differences between group members are correlated across various dimensions, the team is likely to show a "subgroup split" that inhibits communication and effective collaboration between team members. Our paper proposes a rigorous formal and computational reconstruction of the theory. Our model integrates four elementary mechanisms of social interaction, homophily, heterophobia, social influence and rejection into a computational representation of the dynamics of both opinions and social relations in the team. Computational experiments demonstrate that the central claims of faultline theory are consistent with the model. We show furthermore that the model highlights a new structural condition that may give managers a handle to temper the negative effects of strong demographic faultlines. We call this condition the timing of contacts. Computational analyses reveal that negative effects of strong faultlines critically depend on who is when brought in contact with whom in the process of social interactions in the team. More specifically, we demonstrate that faultlines have hardly negative effects when teams are initially split into demographically homogeneous subteams that are merged only when a local consensus has developed.
机译:Lau和Murnighan的断层线理论解释了人口统计学多样性对团队绩效的负面影响,这是强大的人口统计学断层线的结果。如果小组成员之间的人口统计学差异在各个维度上相关,则团队很可能会出现“子小组分裂”,从而阻碍了小组成员之间的沟通和有效协作。本文提出了对该理论的严格形式和计算重构。我们的模型将社交互动,同质,仇视,社交影响和拒绝的四种基本机制集成到团队中意见和社交关系动态的计算表示中。计算实验表明,断层线理论的中心主张与该模型是一致的。我们进一步表明,该模型强调了一种新的结构条件,该条件可能使管理人员有能力缓和强大的人口断层线的负面影响。我们称这种情况为联系时间。计算分析表明,强大的断层线的负面影响主要取决于团队中社交互动过程中与谁接触的人。更具体地说,我们证明,当团队最初分成人口统计学上均一的子团队时,只有在达成局部共识后才合并,因此断层线几乎不会产生负面影响。

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