系统管理学报

系统管理学报 ›› 2023, Vol. 32 ›› Issue (6): 1223-1243.DOI: 10.3969/j.issn.1005-2542.2023.06.008

• 大数据与信息管理 • 上一篇    下一篇

智能系统冲击下员工合作行为机制：从个体博弈到群体行为反转

杜宇骁，胡斌，龙立荣   

  1. 华中科技大学管理学院，武汉 430070
  • 收稿日期:2022-08-16 修回日期:2023-01-20 出版日期:2023-11-28 发布日期:2023-12-01
  • 基金资助:

    国家自然科学基金面上项目（71971093，72371110）；国家自然科学基金重点项目（72132001）；教育部哲学社会科学研究重大课题攻关项目（20JZD024）

Mechanism of Employee Cooperation Behavior Under the Impact of Intelligent System: From Individual Game to  Group Behavior Reversal

DU Yuxiao, HU Bin, LONG Lirong   

  1. School of Management, Huazhong University of Science and Technology, Wuhan 430070, China
  • Received:2022-08-16 Revised:2023-01-20 Online:2023-11-28 Published:2023-12-01

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摘要：

为揭示智能系统冲击下企业员工的合作行为机制，基于激励-保健理论，运用博弈论、突变理论和元胞自动机相结合的研究方法，通过激励-保健理论分析影响员工合作行为的因素，利用博弈模型表达员工个体之间相互合作的关系；运用元胞自动机建立员工群体合作行为演化仿真模型，对仿真结果，运用突变论进行群体行为突变分析，揭示不同规模员工群体行为反转的机制。研究发现：不同规模的员工群体行为选择演化中均存在突变现象，可由尖点突变模型来解释；智能系统不仅影响员工个体与群体行为选择，还影响员工群体行为稳定性；智能系统若能降低合作成本，则在劳动密集型场景中员工行为反转的可能性增加，在技术密集型场景中员工行为反转的可能性则减少。研究结论揭示了智能系统冲击对不同场景中不同规模的员工群体合作行为的影响，从员工个体博弈到群体行为状态反转两个方面分析了员工合作行为底层机制，丰富了合作行为相关理论；研究框架有效整合了博弈模型、元胞自动机和尖点突变模型，发现智能系统中员工个体间交互以及群体行为选择演化的新特点，为企业提供实践指导。

关键词:

智能系统, 合作行为, 激励-保健理论, 博弈论, 元胞自动机, 尖点突变

Abstract:

This paper analyzes the factors affecting employee behavior from the perspective of the motivation-hygiene theory and uses game models to characterize employee behavior. It establishes the cellular automata model of the employee group, and employs the cusp catastrophe model to explore the employee group behavior reversal. It finds the existence of catastrophe mechanisms in the evolution of behavior selections of employee groups of different sizes. The intelligent system not only affects the behavior selections of employees, but also affects the stability of employee group behavior. The catastrophe mechanism in the employee group behavior evolution can be explained by the cusp catastrophe model. If the intelligent system can reduce the cooperation cost, the employee behavior selection reversals will increase in labor-intensive scenarios, and the employee behavior selection reversals will decrease in technology-intensive scenarios. These conclusions reveal the intelligent system,s impact on cooperation behavior of employee groups of different sizes in different scenarios. From the individual game of employees to the reversal of group behavior state, this paper analyzes employee cooperation behavior mechanism, enriching the theory of cooperation behavior. It integrates the game model, cellular automata, and the cusp catastrophe model, discovers new characteristics of the interaction among individual employees and the group behavior selection evolution, and provides practical guidance for enterprises.

Key words:

intelligent system, cooperation behavior, motivation-hygiene theory, game theory, cellular automata, cusp catastrophe

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