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研究平台工作者的算法耻辱对工作参与的影响:双调节调解模型
Tingting Tu1, Chenhui Zhao2, Hongyi Li3
1School of Economics and Management, China Three Gorges University, Yichang, China.
Acta psychologica
|February 20, 2026
概括
算法耻辱会对平台工作者的参与产生负面影响. 障碍压力因素评估调解了这一点,而工作自主性和公平感知提供了保护作用.
科学领域:
- 社会科学 社会科学 社会科学
- 管理科学 管理科学
- 职业健康心理学 职业健康心理学
背景情况:
- 算法管理在平台经济中普遍存在.
- 了解算法耻辱对工人的心理影响至关重要.
- 资源保护理论为分析工作场所压力因素提供了一个框架.
研究的目的:
- 调查算法耻辱和工作参与之间的关系.
- 检查障碍压力因素评估的调解作用.
- 探索工作自主性和公平感知的缓和效应.
主要方法:
- 对297名平台工人进行了两波调查.
- 使用统计分析来测试拟议的调解和调节模型.
- 这项研究使"算法耻辱"的概念变得可操作并得到验证.
主要成果:
- 算法耻辱与工作参与度有负面关联.
- 障碍压力因素评估部分调解了耻辱与参与关系.
- 工作自主性和公平感知缓和了算法耻辱对障碍压力因素评估以及随后对工作参与的影响.
结论:
- 算法耻辱对平台员工的参与构成重大威胁.
- 障碍压力因素评估解释了压力传递机制.
- 提高工作自主性和公平性可以减轻负面影响,促进可持续的职业生涯.
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