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Updated: Sep 4, 2025
06:48
The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
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Game modelling and stability strategy research on distributed leadership pattern: A tripartite evolutionary game
Ledi Lyu1, Zeguang Cui1, Haomin Zhang1
1School of Management, Shanghai University, Shanghai, PR China.
Plos One
|July 20, 2022
Summary
Empowering informal leaders is key for effective distributed leadership. This study shows formal leader empowerment of informal leaders optimizes team cooperation and performance.
Area of Science:
- Management Science
- Organizational Behavior
- Game Theory
Background:
- Distributed leadership distributes responsibility beyond formal leaders to include informal leaders.
- Team decision-making is crucial for cooperation and performance, yet underlying mechanisms are under-explored.
- Game theory provides a framework for analyzing rational behavior in interdependent situations.
Purpose of the Study:
- To analyze the internal mechanisms of distributed leadership patterns.
- To investigate how team members cooperate to enhance team performance.
- To construct a tripartite evolutionary game model for distributed leadership.
Main Methods:
- Developed a tripartite evolutionary game model involving formal leaders, informal leaders, and employees.
- Analyzed the strategic interdependence and decision-making behavior of team members.
- Utilized simulation to examine the factors affecting the equilibrium of the three parties.
Main Results:
- The equilibrium in distributed leadership is influenced by multiple interacting factors.
- Formal leader empowerment of informal leaders is a critical determinant of team success.
- Optimal cooperation and enhanced team performance are linked to strategic delegation.
Conclusions:
- Empowerment strategies are essential for successful distributed leadership.
- Findings offer theoretical insights into distributed leadership dynamics.
- Practical implications for managers seeking to improve team performance through leadership distribution.
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