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Game modelling and stability strategy research on distributed leadership pattern: A tripartite evolutionary game perspective

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  • Ledi Lyu
  • Zeguang Cui
  • Haomin Zhang

Abstract

Distributed leadership pattern has been a topic of growing interest in recent years, recognizing that much remains to be known about this phenomenon. The research on distributed leadership acknowledges that responsibility and power are not exclusively limited to one formal leader, but are distributed between formal and informal leaders. The decision-making behavior of team members plays a vital role in optimizing cooperation and team performance. Nevertheless, little attention is paid to investigating the underlying mechanisms about how people in a team cooperate to initiate effective interactions and enhance team performance. Game theory offers a comprehensive analysis of rational behavior under the circumstances of strategic interdependence. By organizing the formal leader, the informal leader, and the ordinary employee in a team, this study constructs a tripartite evolutionary game model and analyzes the internal mechanism of distributed leadership patterns. The study finds that the equilibrium of the three parties is affected by multiple factors. The simulation results reveal that the empowerment of the formal leader to the informal leader is indispensable to promoting optimal cooperation and team performance in distributed leadership patterns. These findings have theoretical implications for the distributed leadership literature and managerial implications for practitioners.

Suggested Citation

  • Ledi Lyu & Zeguang Cui & Haomin Zhang, 2022. "Game modelling and stability strategy research on distributed leadership pattern: A tripartite evolutionary game perspective," PLOS ONE, Public Library of Science, vol. 17(7), pages 1-21, July.
  • Handle: RePEc:plo:pone00:0271721
    DOI: 10.1371/journal.pone.0271721
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    References listed on IDEAS

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    1. Yan Zheng & Xiaoming Liao, 2019. "Corruption governance and its dynamic stability based on a three-party evolutionary game with the government, the public, and public officials," Applied Economics, Taylor & Francis Journals, vol. 51(49), pages 5411-5419, October.
    2. Yan Li & Yan Zhang & Haifeng Dai & Ziyan Zhao, 2020. "Game Modelling and Strategy Research on Trilateral Evolution for Coal-Mine Operational Safety Production System: A Simulation Approach," Complexity, Hindawi, vol. 2020, pages 1-16, January.
    3. Kroumi, Dhaker & Martin, Éloi & Lessard, Sabin, 2022. "Evolution of cooperation with respect to fixation probabilities in multi-player games with random payoffs," Theoretical Population Biology, Elsevier, vol. 145(C), pages 1-21.
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    Cited by:

    1. Zhang, Shouguo & Zhang, Jianjun & Dai, Yixin & Zhang, Ling, 2025. "Mitigating conflicts in the implementation of intensive land use policies: Insights from a tripartite evolutionary game model," Land Use Policy, Elsevier, vol. 150(C).

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