挑战还是障碍? 算法控制对临时工的社会服务行为产生双重影响
Xuedong Liang1, Wanting Fu1, Peng Luo1
1Business School, Sichuan University, Chengdu 610064, China.
Behavioral sciences (Basel, Switzerland)
|June 26, 2024
概括
在线平台上的算法控制对零工工人产生影响.
科学领域:
- 组织行为 组织行为
- 人与计算机的交互
- 巨型经济学研究 巨型经济学研究
背景情况:
- 算法控制对于在线劳动平台的运作至关重要.
- 了解其对工作人员行为的影响对于平台管理至关重要.
- 情感事件理论和挑战障碍评估框架提供了理论透镜.
研究的目的:
- 调查算法控制如何影响演出工人的社会服务行为.
- 检查工作参与在这种关系中的调解作用.
- 探索工作场所人际资本化的温和效应.
主要方法:
- 通过在线问卷调查收集的实证数据.
- 调查针对660名在线劳动力平台上运营的零工工人.
- 统计分析用于测试有关评估,工作参与和亲社会行为的假设.
主要成果:
- 挑战对算法控制的评估对亲社会行为产生积极影响,通过工作参与来调解.
- 障碍评估对亲社会行为产生负面影响,这也受到工作参与的介导.
- 工作场所的人际资本化增强了挑战评估的积极影响,但没有缓冲负面障碍评估.
结论:
- 算法控制对临时工的亲社会行为产生了双重影响,取决于评估.
- 工作参与是算法控制感知如何转化为行为的关键调解者.
- 人际资本化可以放大积极的结果,但不能否定来自算法控制的负面结果.
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