Associations Between Labor Control Through Digital Platforms and Workers' Mental Wellbeing: A Survey of Location-based Platform Workers in Taiwan

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 associat...

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Main Authors: Yawen Cheng (Author), Wan-Ju Cheng (Author), Ro-Ting Lin (Author), Yi-Ting Wang (Author), Jyh-Jer Roger Ko (Author)
Format: Book
Published: Elsevier, 2024-12-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Yawen Cheng  |e author 
700 1 0 |a Wan-Ju Cheng  |e author 
700 1 0 |a Ro-Ting Lin  |e author 
700 1 0 |a Yi-Ting Wang  |e author 
700 1 0 |a Jyh-Jer Roger Ko  |e author 
245 0 0 |a Associations Between Labor Control Through Digital Platforms and Workers' Mental Wellbeing: A Survey of Location-based Platform Workers in Taiwan 
260 |b Elsevier,   |c 2024-12-01T00:00:00Z. 
500 |a 2093-7911 
500 |a 10.1016/j.shaw.2024.08.003 
520 |a 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. 
546 |a EN 
690 |a Labor control 
690 |a Mental health 
690 |a Platform work 
690 |a Psychometric properties 
690 |a Psychosocial work hazards 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Safety and Health at Work, Vol 15, Iss 4, Pp 419-426 (2024) 
787 0 |n http://www.sciencedirect.com/science/article/pii/S2093791124000647 
787 0 |n https://doaj.org/toc/2093-7911 
856 4 1 |u https://doaj.org/article/7e94abce06914b7eaaf41b45c071bc4c  |z Connect to this object online.