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

Content Provider	Springer Nature Link
Author	Flache, Andreas Mäs, Michael
Copyright Year	2008
Abstract	Lau and Murnighan’s faultline theory explains negative effects of demographic diversity on team performance as consequence of strong demographic faultlines. 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.
Starting Page	23
Ending Page	51
Page Count	29
File Format	PDF
ISSN	1381298X
Journal	Computational and Mathematical Organization Theory
Volume Number	14
Issue Number	1
e-ISSN	15729346
Language	English
Publisher	Springer US
Publisher Date	2008-02-01
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Demographic faultline Computational modeling Teams Demographic diversity Homophily Social influence Methodology of the Social Sciences Sociology Artificial Intelligence (incl. Robotics) Operations Research/Decision Theory Management
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Computer Science Decision Sciences Computational Mathematics Modeling and Simulation

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