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Can self selection create high-performing teams?

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  • Chen, Roy
  • Gong, Jie

Abstract

Does the way that teams are formed affect their productivity? To address this question, we run an experiment comparing different methods of team formation: (1) random assignment; (2) self selection; and (3) algorithm assignment designed to maximize skill complementarity. We find that self selection creates high-performing teams. These teams perform better on a team task than randomly-assigned teams and as well as those assigned using the algorithm. Exploring the mechanism, we find evidence that, when given the choice, individuals self select into teams primarily based on their social networks and exert higher effort towards the team task.

Suggested Citation

  • Chen, Roy & Gong, Jie, 2018. "Can self selection create high-performing teams?," Journal of Economic Behavior & Organization, Elsevier, vol. 148(C), pages 20-33.
  • Handle: RePEc:eee:jeborg:v:148:y:2018:i:c:p:20-33
    DOI: 10.1016/j.jebo.2018.02.004
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    Cited by:

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    3. Fischer, Mira & Rilke, Rainer Michael & Yurtoglu, B. Burcin, 2020. "Two field experiments on self-selection, collaboration intensity, and team performance," Discussion Papers, Research Unit: Market Behavior SP II 2020-201, WZB Berlin Social Science Center.
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    9. Gjedrem, William Gilje & Kvaløy, Ola, 2020. "Relative performance feedback to teams," Labour Economics, Elsevier, vol. 66(C).
    10. Mira Fischer & Rainer Michael Rilke & B. Burcin Yurtoglu, 2023. "When, and why, do teams benefit from self-selection?," Experimental Economics, Springer;Economic Science Association, vol. 26(4), pages 749-774, September.

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    More about this item

    Keywords

    Group formation; Teamwork; Self selection; Field experiment;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights

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