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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

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  • Andreas Flache

    (ICS, Faculty of Behavioural and Social Sciences, University of Groningen)

  • Michael Mäs

    (ICS, Faculty of Behavioural and Social Sciences, University of Groningen)

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.

Suggested Citation

  • Andreas Flache & Michael Mäs, 2008. "How to get the timing right. A computational model of the effects of the timing of contacts on team cohesion in demographically diverse teams," Computational and Mathematical Organization Theory, Springer, vol. 14(1), pages 23-51, March.
  • Handle: RePEc:spr:comaot:v:14:y:2008:i:1:d:10.1007_s10588-008-9019-1
    DOI: 10.1007/s10588-008-9019-1
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    References listed on IDEAS

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    1. List, Christian, 2004. "A Model of Path-Dependence in Decisions over Multiple Propositions," American Political Science Review, Cambridge University Press, vol. 98(3), pages 495-513, August.
    2. Plott, Charles R & Levine, Michael E, 1978. "A Model of Agenda Influence on Committee Decisions," American Economic Review, American Economic Association, vol. 68(1), pages 146-160, March.
    3. Levine, Michael E. & Plott, Charles R., "undated". "Agenda Influence and Its Implications," Working Papers 151, California Institute of Technology, Division of the Humanities and Social Sciences.
    4. Sherry M.B. Thatcher & Karen A. Jehn & Elaine Zanutto, 2003. "Cracks in Diversity Research: The Effects of Diversity Faultlines on Conflict and Performance," Group Decision and Negotiation, Springer, vol. 12(3), pages 217-241, May.
    5. Eric Molleman, 2005. "Diversity in Demographic Characteristics, Abilities and Personality Traits: Do Faultlines Affect Team Functioning?," Group Decision and Negotiation, Springer, vol. 14(3), pages 173-193, May.
    6. Rainer Hegselmann & Ulrich Krause, 2002. "Opinion Dynamics and Bounded Confidence Models, Analysis and Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(3), pages 1-2.
    7. Laurent Salzarulo, 2006. "A Continuous Opinion Dynamics Model Based on the Principle of Meta-Contrast," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(1), pages 1-13.
    8. Wander Jager & Frédéric Amblard, 2005. "Uniformity, Bipolarization and Pluriformity Captured as Generic Stylized Behavior with an Agent-Based Simulation Model of Attitude Change," Computational and Mathematical Organization Theory, Springer, vol. 10(4), pages 295-303, January.
    9. Ray Reagans & Ezra W. Zuckerman, 2001. "Networks, Diversity, and Productivity: The Social Capital of Corporate R&D Teams," Organization Science, INFORMS, vol. 12(4), pages 502-517, August.
    10. Lisa Hope Pelled, 1996. "Demographic Diversity, Conflict, and Work Group Outcomes: An Intervening Process Theory," Organization Science, INFORMS, vol. 7(6), pages 615-631, December.
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    Cited by:

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    3. Weimer, Christopher W. & Miller, J.O. & Hill, Raymond R. & Hodson, Douglas D., 2022. "An opinion dynamics model of meta-contrast with continuous social influence forces," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    4. Elshandidy, Tamer & Bamber, Matthew & Omara, Hossam, 2024. "Across the faultlines: A multi-dimensional index to measure and assess board diversity," International Review of Financial Analysis, Elsevier, vol. 93(C).
    5. Jianjun Lu & Shozo Tokinaga, 2013. "Analysis of cluster formations on planer cells based on genetic programming," Computational and Mathematical Organization Theory, Springer, vol. 19(4), pages 426-445, December.

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