Cheng Yawen, Cheng Wan-Ju, Lin Ro-Ting, Wang Yi-Ting, Ko Jyh-Jer Roger
Institute of Health Policy and Management, College of Public Health, National Taiwan University, Taipei, Taiwan.
National Center for Geriatrics and Welfare Research, National Health Research Institutes, Miaoli, Taiwan.
Saf Health Work. 2024 Dec;15(4):419-426. doi: 10.1016/j.shaw.2024.08.003. Epub 2024 Aug 26.
Platform work offers flexibility and autonomy to workers, but there are concerns about the impacts of excessive labor control exercised by digital platforms using algorithmic management. This study assessed the level of labor control exerted by digital platforms and explored its associations with psychosocial work conditions and workers' mental well-being.
A total of 487 location-based platform workers in Taiwan, encompassing ride-hailing, delivery, and house chore services, participated in this questionnaire survey. A 5-item scale was created to assess platform-mediated labor control. Psychosocial work conditions, including demands, job control, work rewards, and mental well-being, including burnout and self-rated mental health status, were assessed using validated instruments. Cronbach's α and principal component analysis were employed to assess the validity of the labor control scale. Logistic regression analysis and path analysis were conducted to investigate the relationship between labor control and workers' mental health.
Exploratory factor analyses confirmed the structural validity and the internal consistency of the scale. Logistic regression models revealed that higher levels of labor control were associated with an increased risk of burnout and poorer mental health. Path analyses further indicated that higher labor control through digital platforms raised mental health risks by increasing job demands.
Algorithmic management is associated with increased stress among platform workers as they try to meet the platform's performance metrics.
平台工作为劳动者提供了灵活性和自主性，但人们担心数字平台通过算法管理实施的过度劳动控制所带来的影响。本研究评估了数字平台施加的劳动控制水平，并探讨了其与心理社会工作条件及劳动者心理健康的关联。
共有487名台湾地区基于位置的平台工作者参与了此项问卷调查，这些工作者涵盖网约车、配送和家务服务。创建了一个包含5个条目的量表来评估平台介导的劳动控制。使用经过验证的工具评估心理社会工作条件，包括工作要求、工作控制、工作回报，以及心理健康，包括倦怠和自评心理健康状况。采用克朗巴赫α系数和主成分分析来评估劳动控制量表的有效性。进行逻辑回归分析和路径分析以研究劳动控制与劳动者心理健康之间的关系。
探索性因素分析证实了该量表的结构效度和内部一致性。逻辑回归模型显示，较高水平的劳动控制与倦怠风险增加和心理健康较差有关。路径分析进一步表明，通过数字平台实施的更高劳动控制通过增加工作要求提高了心理健康风险。
算法管理与平台工作者在努力满足平台绩效指标时压力增加有关。
