算法控制下零工工作者自我领导对工作行为的双元影响机理研究

摘要/Abstract

摘要： 面对平台算法技术的精准管理，如何通过自我领导干预工作表现成为探析零工工作者行为多面性的关键。本研究采用基于扎根理论的案例研究方法，构建了算法控制下零工工作者自我领导对工作行为的双元影响机理。研究发现，算法控制下零工工作者自我领导包括学习导向、情绪调节、行为调整、自我激励、思维建构五大策略，划分为认知情绪、行为激励、思想建构三大发展阶段，自我责任和工作压力在自我领导影响工作行为的过程中具有中介作用。本研究不仅丰富了算法控制下零工工作者自我领导策略的结构内涵，还为平台组织在算法背景下加强零工工作者的行为管理提供理论参考。

关键词: 零工工作者, 自我领导, 工作行为, 算法控制, 案例研究

Abstract: In the context of precise managerial control enabled by platform algorithms, how self-leadership intervenes in work performance has become a critical lens for examining the behavioral multiplicity of gig workers. Drawing on a grounded theory-based case study approach, this research develops a dual-path mechanism through which gig workers’ self-leadership under algorithmic control influences work behaviors. The findings indicate that gig workers’ self-leadership under algorithmic control comprises five core strategies: learning orientation, emotion regulation, behavior adjustment, self-motivation, and thought construction. These strategies can be classified into three developmental stages: cognitive-emotion regulation, behavior motivation, and thought construction. Moreover, self-responsibility and work pressure play mediating roles in the process where self-leadership influences work behavior. This study not only enriches the structural connotation of the self-leadership strategies of gig workers under algorithmic control, but also provides a theoretical reference for platform organizations to strengthen the behavioral management of gig workers in the algorithmic context.

Key words: gig workers, self-leadership, work behavior, algorithmic control, case study

侯烜方, 刘蕴琦, 陈武, 蔡心瑜, 程皓. 算法控制下零工工作者自我领导对工作行为的双元影响机理研究[J]. 管理评论, 2026, 38(7): 263-275.

Hou Xuanfang, Liu Yunqi, Chen Wu, Cai Xinyu, Chen Hao. Research on the Mechanism of the Influence of Self-leadership of Gig Workers on Dual Work Behavior under Algorithm Control[J]. Management Review, 2026, 38(7): 263-275.

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