ArticleBMC psychology2023
Are algorithmically controlled gig workers deeply burned out? An empirical study on employee work engagement.
Article in BMC psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.
- Algorithmic management in the global gig economy: an interdisciplinary systematic literature review and critical discourse analysis.Frontiers in sociology · 2026Pooled it
- Invisible burdens of platform work: a qualitative study of food-delivery riders' lived experiences in urban India.International journal of qualitative studies on health and well-being · 2026Article
- Workplace ostracism and job performance: revisiting the limits of employee engagement in addressing workplace exclusion.Scientific reports · 2026Article
- Review
- Examining the moderating role of work engagement in predicting deviant behaviour: a study of work culture and organisational injustice among police officers.BMC psychology · 2026Article
- From algorithmic efficiency to cascading health burdens: a text-mining study of online food delivery riders in the platform economy.Frontiers in public health · 2026Article
- Responsible workplace data governance and organizational performance: evidence from Chinese listed firms.Frontiers in psychology · 2026Article
- From alienation to deficitization: the subjectivity predicament of digital laborers.Frontiers in psychology · 2026Article
- The "Double-Edged Sword" Effect of Perceived Algorithmic Control on Platform Workers' Work Engagement.Behavioral sciences (Basel, Switzerland) · 2025Article
- Perceived algorithmic control and gig workers' work engagement: assessing the mediating role of psychological empowerment and the moderating effect of deep acting.BMC psychology · 2025Article
- Platform-Mediated Gig Work and Health: A Scoping Review.American journal of industrial medicine · 2025Article
- The double-edged sword effect of algorithmic management on work engagement of platform workers: the roles of appraisals and resources.Frontiers in psychology · 2025Article
- Voice in the algorithmic era: how perceived algorithmic control influences gig workers' voice behavior.Frontiers in psychology · 2025Article
- How Algorithmic Management Influences Gig Workers' Job Crafting.Behavioral sciences (Basel, Switzerland) · 2024Article
- The dual path effect mechanism study of digital-HRM on employee innovative performance and cyberloafing.PloS one · 2024Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundWith the emergence of the gig economy as a new economic form, the influence of algorithmic technology control on gig workers' perceptions and engagement has become a topic of academic concern. This study explores the emotional impact of perceived algorithmic control on gig workers and how it affects their work engagement.
methodsThis study takes gig workers as the research object to build a structural equation model. Based on the background of gig economy and the Job Demands-Resources model, this paper constructs a mechanism model of the influence of perceived algorithmic control on the work engagement of gig workers. The research data in this paper are collected by questionnaire, and the research hypothesis is tested by the SEM structural model.
resultsThe gig workers in this study believed that perceived algorithmic control positively affects employee work engagement. In addition, burnout was positively correlated with employee work engagement. Burnout played a partial mediating role in the relationship between perceived algorithmic control and employee work engagement. And flow experience played a moderating role through the indirect effect of burnout on employees' work engagement.
conclusionPerceived algorithmic control causes burnout among gig workers, but strong algorithmic technology support provides them with rich work resources that can help them meet their work needs. That is, the gig workers may still demonstrate a high level of work engagement even if they experience burnout symptoms.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.