ArticleSafety and health at work2024
Associations Between Labor Control Through Digital Platforms and Workers' Mental Wellbeing: A Survey of Location-based Platform Workers in Taiwan.
Article in Safety and health at work, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Health and health management among motorcycle-based food delivery workers in South Korea: a qualitative interview study.International journal of qualitative studies on health and well-being · 2026Article
- Mental health status and its associations with psychosocial working conditions among platform delivery workers in China: comparative analyses of migrant status.Industrial health · 2026Article
- What keeps gig workers motivated? A typology of the intrinsic-extrinsic motivation interplay in the digital gig economy.PloS one · 2026Article
- When resilience backfires: the counterintuitive effect of employee resilience in high-tech surveillance environments.Frontiers in psychology · 2026Article
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Authors and funding
5 authors.
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Abstract
Background: 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. Methods: 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. Results: 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. Conclusion: Algorithmic management is associated with increased stress among platform workers as they try to meet the platform's performance metrics.
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