Gig 工人的感知算法管理,压力评估和破坏性的偏离行为
Linzi Zhang1, Jie Yang1, Yiming Zhang2
1School of Business Administration, Zhongnan University of Economics and Law, Wuhan, Hubei, China.
PloS one
|November 8, 2023
概括
在演出平台上的算法管理可能会导致破坏性的工人行为. 这项研究证明了这一点.
科学领域:
- 行为经济学是一种行为经济学.
- 管理科学 管理科学
- 社会学 社会学 社会学
背景情况:
- 巨头平台越来越多地使用算法管理.
- 这可能会对临时工提出严格的要求.
- 存在负面工人行为潜力.
研究的目的:
- 检查算法管理与演艺工人的破坏性偏离行为之间的联系.
- 调查算法管理作为挑战和障碍的双重作用.
- 分析监管重点的缓解效应.
主要方法:
- 开发了一个基于挑战-障碍框架的研究模型.
- 收集了来自423名食品配送乘客的调查数据.
- 使用多级线性回归分析.
主要成果:
- 感知算法管理被视为障碍和挑战.
- 作为一种障碍,它增加了工作/家庭的偏离行为.
- 作为一个挑战,它减少了工作/家庭偏离行为.
- 监管重点调节了压力评估.
结论:
- 算法管理对演出工人行为的影响是复杂的,它既是一种障碍,又是一种挑战.
- 调查结果为平台,员工和决策者提供了洞察力,以优化算法管理.
- 在平衡挑战和障碍方面是减轻负面行为的关键.
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