Methods of assigning players to teams: a review and novel approach
Simulation and Gaming
Choice Interactions and Business Strategy
Management Science
Patterned Interactions in Complex Systems: Implications for Exploration
Management Science
The Division of Gains from Complementarities in Human-Capital-Intensive Activity
Organization Science
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In this paper, we evaluate the effectiveness of policies for assigning interdependent workers to teams. Using a computational simulation, we contrast distributing workers equitably across teams based on prior individual performance with policies that distribute workers based on how well people work together. First, we test a policy that clusters workers into teams by finding natural breakpoints among them where their mutual support is weak. Then we test two other policies that both protect the strongest interdependent core of high performers but differ in that one policy separates workers who give little support to interdependent partners and the other separates workers who receive little support from their partners. All three policies outperform the equitable-distribution approach in some circumstances. We make recommendations to managers for harnessing interdependence when forming teams, whether the managers are familiar or unfamiliar with how well their people work together.