管理评论 ›› 2026, Vol. 38 ›› Issue (5): 199-210.

• 组织行为与人力资源管理 • 上一篇    

感知算法控制对平台工作者合规行为的“双刃剑”效应:成本视角

邓婷1, 唐春勇2, 赖彦钊2   

  1. 1. 中国民用航空飞行学院经济与管理学院, 广汉 618307;
    2. 西南交通大学经济管理学院, 成都 610031
  • 收稿日期:2024-02-13 发布日期:2026-06-06
  • 作者简介:邓婷,中国民用航空飞行学院经济与管理学院讲师,博士;唐春勇,西南交通大学经济管理学院教授,博士生导师,博士;赖彦钊,西南交通大学经济管理学院助理教授,博士。中文通信作者
  • 基金资助:
    国家自然科学基金重点项目(71832007);国家自然科学基金项目(71572157)。

The Double-edged Sword Effect of Perceived Algorithmic Control on Compliance Behavior of Platform Workers: A Cost Perspective

Deng Ting1, Tang Chunyong2, Lai Yanzhao2   

  1. 1. School of Economics and Management, Civil Aviation Flight University of China, Guanghan 618307;
    2. School of Economics and Management, Southwest Jiaotong University, Chengdu 610031
  • Received:2024-02-13 Published:2026-06-06

摘要: 算法控制对平台工作者行为的影响日益受到企业界与学术界的广泛关注。然而,在管理实践中,平台常面临算法控制悖论的困境。基于理性选择理论,从成本视角探讨感知算法控制对平台工作者合规行为的"双刃剑"效应。基于465名平台工作者的三阶段时间滞后调查数据分析表明:感知算法控制一方面通过提升违规成本(感知行为监控与惩罚预期)促进平台工作者的合规行为;另一方面,通过提高合规成本(工作障碍与控制感缺失)抑制其合规行为。此外,工作障碍与控制感缺失分别在感知行为监控与合规行为、惩罚预期与合规行为之间发挥负向调节作用。本研究不仅丰富了感知算法控制悖论的理论解释,也为平台在发挥算法控制积极效应的同时抑制其负面影响提供了管理启示。

关键词: 感知算法控制, 合规行为, 合规成本, 违规成本

Abstract: The impact of algorithmic control on platform workers' behavior has attracted increasing attention from both industry and academia. However, in management practice, platforms often face the dilemma of the algorithmic control paradox. Drawing on rational choice theory, this study examines the double-edged sword effect of perceived algorithmic control on platform workers' compliance behavior from a cost perspective. Using three-wave time-lagged survey data from 465 platform workers, the analysis reveals that perceived algorithmic control, on the one hand, promotes compliance behavior by increasing the cost of violations (perceived behavioral monitoring and punishment expectancy); on the other hand, it inhibits compliance behavior by increasing the cost of compliance (work impediment and loss of control). Moreover, work impediment and loss of control respectively exert negative moderating effects on the relationships between perceived behavioral monitoring and compliance behavior, and between punishment expectancy and compliance behavior. This study enriches the theoretical understanding of the algorithmic control paradox and offers managerial implications for enhancing the positive effects of algorithmic control while mitigating its negative impacts.

Key words: perceived algorithmic control, compliance behavior, compliance cost, non-compliance cost