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算法管理如何影响巨型工人的工作制作?
1School of Business, Hohai University, Nanjing 211100, China.
Behavioral sciences (Basel, Switzerland)
|October 26, 2024
概括
算法管理通过影响他们的游戏体验和感知到的工作自主性来影响演出工人的工作制作. 核心自我评估缓解了这些影响,为平台公司提供了洞察力.
科学领域:
- 巨型经济研究 巨型经济研究
- 人力资源管理 人力资源管理
- 数字化管理 数字化管理
背景情况:
- 算法管理是零工经济中的一个关键工具,但它对零工工人的就业创造的影响未得到充分研究.
- 现有的研究缺乏对将算法管理与工作制造联系起来的机制和边界条件的理解.
研究的目的:
- 调查算法管理如何影响演唱会工人的工作制作.
- 探索游戏体验和感知到的工作自主性的双重调解角色.
- 检查核心自我评估的缓解效应.
主要方法:
- 开发了一种基于社会信息处理理论的双调解模型.
- 通过两阶段的调查收集了687名零工人的数据.
- 使用结构方程建模 (SEM) 分析数据.
主要成果:
- 算法管理通过有趣的体验增强了以促进为中心的职位制作 (工作资源,具有挑战性的需求).
- 它通过抑制感知到的工作自主性来促进以预防为重点的工作制作 (减少阻碍需求).
- 核心自我评估调节了关系和间接影响.
结论:
- 算法管理对不同类型的职位制作行为有不同的影响.
- 感知到的工作自主性和有趣的体验是关键的调解者.
- 核心自我评估发挥着重要的调节作用,影响平台管理策略.
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