感知算法控制对平台工人的工作参与度的"双刃剑"效应
Jian Zhu1, Yuhe Cao1, Yanjun Wang1
1Business School, Xiangtan University, Xiangtan 411105, China.
Behavioral sciences (Basel, Switzerland)
|January 28, 2026
概括
算法控制通过工作制作影响平台工人的参与. 算法素养减轻了这些影响,突出了平台企业的"双刃剑".
科学领域:
- 管理科学 管理科学
- 组织行为 组织行为
- 人与计算机的交互
背景情况:
- 算法技术越来越多地用于平台企业管理.
- 关于算法控制如何影响平台工人的参与度的研究很少.
研究的目的:
- 调查算法控制对平台工人的工作参与度的影响.
- 探讨以促进和预防为重点的工作创造的调解角色.
- 探索算法素养的调节作用.
主要方法:
- 一个"双刃剑"模型是基于监管重点理论开发的.
- 从中国的302名平台工人那里收集经验数据.
- 使用SPSS和Mplus进行了统计分析.
主要成果:
- 感知算法控制通过以晋升为重点的职位制作积极影响参与.
- 感知算法控制通过预防专注的职位制作对参与产生负面影响.
- 算法素养增强了积极的间接效应,减弱了负面的间接效应.
结论:
- 感知算法控制对工作参与有双重影响,通过工作制作策略进行调解.
- 算法素养对于调节算法控制和参与之间的关系至关重要.
- 结果为平台企业提供指导,以优化算法管理策略.
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