生活与算法管理对比:一项关于食物配送骑手中倦怠及其影响因素的研究
Jian Dong1, Guoyong Zhang2, Lizhi Wu1
1School of Grammar and Law, Shandong University of Science and Technology, Qingdao, China.
Frontiers in public health
|April 30, 2025
概括
由于算法管理,食品配送司机经历了中度的倦怠. 诸如年龄,工作系统和反等因素会影响这种情况,因此需要对演艺工人的健康进行支持性干预.
科学领域:
- 公共卫生 公共卫生
- 巨型经济学研究 巨型经济学研究
- 职业健康 职业健康 职业健康
背景情况:
- 食品配送司机的倦怠是越来越严重的公共卫生问题.
- 有限的研究存在于算法管理对骑手倦怠的具体影响.
- 这项研究检查了在算法控制下骑手的倦怠程度和影响因素.
研究的目的:
- 调查食品配送骑手中倦怠的流行情况和影响因素.
- 分析算法管理对骑手倦怠的影响.
- 为缓解小节奏经济中的倦怠提供建议.
主要方法:
- 对953名食品配送骑手进行的调查使用了Maslach Burnout Inventory-General Survey (MBI-GS) 的数据.
- 统计分析包括t测试,ANOVA,皮尔森相关性和多重线性回归.
- 确定导致骑手倦怠的关键因素.
主要成果:
- 配送食品的骑手报告中等程度的倦怠,其特点是情绪疲,非个性化和个人成就减少.
- 影响倦怠的重要因素包括人口统计学 (性别,年龄,工作年龄),算法系统 (排名,惩罚,监控,工作流程) 和外部因素 (客户反,餐厅准备时间).
结论:
- 在算法管理下的中国食品配送骑手中,倦怠现象很普遍.
- 个性化的支持,人性化的工作系统和支持性的社会环境可以减少倦怠.
- 这项研究提供了理论和实践指导,以保护临时工的职业健康.
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