平台算法压力与中国零工员工的职业承诺：一项双刃剑效应研究
Platform algorithmic stress and career commitment of Chinese gig workers: a double-edged sword effect study.
摘要(中文译文)
平台经济的兴起不仅创造了大量零工就业机会，也使零工工作者承受算法压力。既有研究多聚焦于算法压力的负面后果，但许多零工工作者仍表现出较高的职业承诺。为解释这一悖论，本研究基于自我决定理论，对354名中国全职零工工作者进行问卷调查，提出双路径中介模型。结果揭示了算法压力对零工工作者职业承诺的两条方向相反的间接效应。第一，算法压力对零工工作者的工作重塑行为具有正向影响，进而提升其职业承诺。第二，算法压力也对零工工作者的相对剥夺感产生影响，继而降低其职业承诺。本研究通过揭示促进性与抑制性两条路径，推进了算法压力研究，将自我决定理论拓展至算法管理情境，并为平台算法设计提供了实践启示，以促进高质量零工就业。
Abstract
The rise of the platform economy has not only created numerous gig employment opportunities but also subjects gig workers to algorithmic stress. While existing research predominantly focuses on the negative consequences of algorithmic stress, many gig workers still exhibit high career commitment. To explain this paradox, this study draws on Self-Determination Theory and surveys 354 full-time Chinese gig workers, proposing a dual-path mediation model. Results reveal two opposing indirect effects of algorithmic stress on gig workers' career commitment. Firstly, algorithmic stress has a positive impact on gig workers' job crafting behaviors, which in turn enhance their career commitment. Secondly, algorithmic stress also has a on gig workers' sense of relative deprivation, which subsequently reduces their career commitment. This study advances algorithmic stress research by uncovering both facilitative and inhibitive pathways, extends Self-Determination Theory to algorithmic management, and offers practical insights for platform algorithm design so as to promote high-quality gig employment.
如何引用
AMA
Lexuan Xu. Platform algorithmic stress and career commitment of Chinese gig workers: a double-edged sword effect study.. Frontiers in public health. 2026; doi:10.3389/fpubh.2026.1824610.
APA
Lexuan Xu (2026). Platform algorithmic stress and career commitment of Chinese gig workers: a double-edged sword effect study.. Frontiers in public health. https://doi.org/10.3389/fpubh.2026.1824610
GB/T 7714
Lexuan Xu. Platform algorithmic stress and career commitment of Chinese gig workers: a double-edged sword effect study.[J]. Frontiers in public health, 2026 doi:10.3389/fpubh.2026.1824610.
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