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Dynamic System Analysis of Leadership Effectiveness in Complex Environments

Author

Listed:
  • Shubing Guo
  • Yaming Hou
  • Hui Jiang
  • Xueli Zhan
  • Junhai Ma
  • Fabio Tramontana

Abstract

In this paper, based on chaos theory and dynamic system simulation, a dynamic model of a relational leadership system with pressure factors is established and simulated. The study found that the excessive self-leadership and the relational leadership cannot effectively improve the leadership effectiveness of leaders. In addition, with the adjustment of the self-leadership adjustment coefficient, leadership effectiveness will change from a stable state to a chaotic state. Only by adopting limited rational decision-making strategies in multicycle decision-making can leaders maintain a high level of leadership effectiveness. Previous research mainly focuses on the theoretical analysis of the complexity of the leadership system or the issuance of questionnaires, but seldom on the dynamic complex process of the leadership system. This study reveals the complexity and chaos characteristics of the dynamic evolution of the multifactor relational leadership system, puts forward the relational leadership theory and the complex leadership theory under the influence of pressure, and makes some suggestions on how to improve the leadership effectiveness under the complex environment. The research results are of great significance to theoretical innovation and practical application.

Suggested Citation

  • Shubing Guo & Yaming Hou & Hui Jiang & Xueli Zhan & Junhai Ma & Fabio Tramontana, 2021. "Dynamic System Analysis of Leadership Effectiveness in Complex Environments," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-12, March.
    • Handle: RePEc:hin:jnddns:8863059
    DOI: 10.1155/2021/8863059
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    Cited by:

    1. Roselyne Cheruiyot & Robert Venter, 2024. "Complex Systems and Sustainable Leadership: Enhancing Resilience and Sustainability of Community-Based Social Enterprises in Soweto, South Africa," Sustainability, MDPI, vol. 16(19), pages 1-18, October.

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