研究论文

算法管理下数字零工算法抵抗行为的影响机理研究

  • 张梅 ,
  • 赵宇翔 ,
  • 贾明霞 ,
  • 张晓宇
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  • 1 南京理工大学经济管理学院 南京 210094;
    2 南京大学信息管理学院 南京 210023;
    3 奥克兰大学商学院 奥克兰 1010
张梅,博士研究生;赵宇翔,教授,博士生导师,通信作者,E-mail:yxzhao@vip.163.com;贾明霞,博士研究生;张晓宇,博士研究生。

收稿日期: 2025-05-07

  修回日期: 2025-06-23

  网络出版日期: 2026-07-13

基金资助

国家社会科学基金重大项目“智能时代提升全民数字素养的理论和实践研究”(项目编号:24&ZD180)研究成果之一。

Exploring the Mechanism of Algorithmic Resistance Among Digital Gig Workers Under Algorithmic Management

  • Zhang Mei ,
  • Zhao Yuxiang ,
  • Jia Mingxia ,
  • Zhang Xiaoyu
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  • 1 School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094;
    2 School of Information Management, Nanjing University, Nanjing 210023;
    3 School of Business, University of Auckland, Auckland 1010
Zhang Mei, Doctoral Candidate; Zhao Yuxiang, Professor, Doctoral Supervisor, Corresponding Author, E-mail: yxzhao@vip.163.com; Jia Mingxia, Doctoral Candidate; Zhang Xiaoyu, Doctoral Candidate.

Received date: 2025-05-07

  Revised date: 2025-06-23

  Online published: 2026-07-13

Supported by

This work is supported by the major project of National Social Science Fund of China, titled “Theoretical and Practical Research on Enhancing Digital Literacy of the Whole Population in the Age of Intelligence” (Grant No. 24&ZD180).

摘要

[目的/意义]探究算法管理下数字零工算法抵抗行为的影响机理,有助于促进数字零工与平台算法管理的良性互动,推动健康劳动秩序的构建。[方法/过程]基于SOR理论框架构建算法管理下数字零工算法抵抗行为影响机理模型,采用问卷调查和结构方程模型方法进行实证检验。[结果/结论]刺激维的感知算法控制正向影响算法压力,负向影响消极情绪;算法公平感知负向影响算法压力和消极情绪;工作不安全感正向影响算法压力和消极情绪。机体维的算法压力正向影响消极情绪,算法压力和消极情绪均正向影响反应维的算法抵抗行为。研究结果表明平台应践行适度效率导向的算法管理,在效率和人文中寻找平衡点。

本文引用格式

张梅 , 赵宇翔 , 贾明霞 , 张晓宇 . 算法管理下数字零工算法抵抗行为的影响机理研究[J]. 图书情报工作, 2026 , 70(14) : 14 -26 . DOI: 10.13266/j.issn.0252-3116.2026.14.002

Abstract

[Purpose/Significance] Exploring the mechanisms influencing algorithmic resistance among digital gig workers under algorithmic management can contribute to fostering a meaningful interaction between digital gig workers and platform algorithmic systems, and to promoting the development of a healthy work order. [Method/Process] Based on the stimuli-organism-response (SOR) theoretical framework, this study constructed a model of the influence mechanism of algorithmic resistance among digital gig workers under algorithmic management. It conducted an empirical test using a questionnaire survey and structural equation modeling. [Result/Conclusion] In the stimuli dimension, perceived algorithmic control positively affects algorithmic stress and negatively influences negative affect. Perceived algorithmic fairness negatively influences both algorithmic stress and negative affect. Job insecurity positively affects both algorithmic stress and negative affect. In the organismic dimension, algorithmic stress has a positive effect on negative affect. In the response dimension, both algorithmic stress and negative affect positively influence algorithmic resistance. The results show that platforms should implement moderate efficiency-oriented algorithm management, achieving a tradeoff between efficiency and humanity.

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