管理评论 ›› 2025, Vol. 37 ›› Issue (6): 141-152.

• 组织行为与人力资源管理 • 上一篇    

制造“承诺”:算法游戏化对零工工作者职业承诺的影响

梁潇杰1, 瞿皎姣2, 杨朦晰3,4   

  1. 1. 首都经济贸易大学劳动经济学院, 北京 100070;
    2. 华侨大学工商管理学院, 泉州 362021;
    3. 中国科学院大学经济与管理学院, 北京 100190;
    4. 中国科学院大学数字经济监测预测预警与政策仿真教育部哲学社会科学实验室(培育), 北京 100190
  • 收稿日期:2023-12-20 发布日期:2025-07-10
  • 作者简介:梁潇杰,首都经济贸易大学劳动经济学院讲师,博士;瞿皎姣(通讯作者),华侨大学工商管理学院教授,博士生导师,博士;杨朦晰,中国科学院大学经济与管理学院副教授,博士生导师,博士。
  • 基金资助:
    北京市社会科学基金青年项目(22SRC021)。

Manufactured “Commitment”: The Impact of Algorithmic Gamification on the Career Commitment of Gig Workers

Liang Xiaojie1, Qu Jiaojiao2, Yang Mengxi3,4   

  1. 1. School of Labor Economics, Capital University of Economics and Business, Beijing 100070;
    2. School of Business Administration, Huaqiao University, Quanzhou 362021;
    3. School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190;
    4. MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation, University of Chinese Academy of Sciences, Beijing 100190
  • Received:2023-12-20 Published:2025-07-10

摘要: 在零工经济新业态蓬勃发展的背景下,平台企业试图通过游戏化算法管理留住并激励零工工作者,但其作用效果及机制还缺乏实证支持。鉴于此,本研究基于劳动过程理论的制造同意视角,使用338份平台依赖型零工的三阶段数据,探讨了平台算法游戏化对零工工作者职业承诺的影响机理和作用边界。研究结果表明:①算法游戏化对零工工作者职业承诺具有显著正向影响,工作控制在二者关系中起中介作用;②算法透明度会增强算法游戏化对工作控制的正向影响,但并不会影响工作控制的中介效应;③算法公平对算法游戏化具有替代效应,即算法公平会削弱算法游戏化对工作控制的正向影响,且会进一步减弱工作控制的中介作用。本研究不仅拓展了算法游戏化的效应研究,还为平台算法管理的优化策略提供了借鉴。

关键词: 制造同意, 算法游戏化, 职业承诺, 算法透明度, 算法公平

Abstract: Against the backdrop of the burgeoning gig economy in China, platform companies are attempting to retain and motivate gig workers through gamified algorithmic management, yet the effectiveness of this mechanism lacks empirical support. Accordingly, this study, grounded in Manufactured Consent Theory, uses three-stage data from 338 platform-dependent gig workers to explore the mechanism and boundary conditions of how platform algorithmic gamification affects gig workers’ career commitment. The results show that: (1) algorithmic gamification has a significant positive impact on gig workers’ career commitment, with job control playing a mediating role in this relationship; (2) algorithmic transparency enhances the positive effect of algorithmic gamification on job control, but does not affect the mediating effect of job control; (3) algorithmic fairness has a substitutive effect on algorithmic gamification, namely, algorithmic fairness weakens the positive impact of algorithmic gamification on job control and further diminishes its mediating role. This study not only expands the research on the effects of algorithmic gamification but also provides insights for the optimization of platform algorithmic management.

Key words: manufactured consent, algorithmic gamification, career commitment, algorithmic transparency, algorithmic fairness