Looking at both sides of algorithmic control and employee well-being: a job demands−resources model

Integrating job demands-resources (JD-R) theory, this study provides a more balanced view of how algorithmic control influences well-being by demonstrating the opposing mediating roles of job demands (work overload and time pressure) and job resources (feedback quality and role clarity).

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Publication Details

Journal
Frontiers in Psychology
Published
2026-01-21
DOI
https://doi.org/10.3389/fpsyg.2026.1736349
Primary Topic
Work-Family Balance Challenges
Type
article
Field-Weighted Citation Impact
0.00

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article

Looking at both sides of algorithmic control and employee well-being: a job demands−resources model

Lu Zhang, Xuehang Ling, Chen Yang
Frontiers in Psychology
Work-Family Balance Challenges
article

Looking at both sides of algorithmic control and employee well-being: a job demands−resources model

Lu Zhang, Xuehang Ling, Chen Yang
article en

Abstract

Integrating job demands-resources (JD-R) theory, this study provides a more balanced view of how algorithmic control influences well-being by demonstrating the opposing mediating roles of job demands (work overload and time pressure) and job resources (feedback quality and role clarity).

Frontiers in PsychologyVol. 17
Chongqing Technology and Business University (CN), Guizhou University of Finance and Economics (CN), Chongqing University of Technology (CN)
Guizhou University, Chongqing Municipal Education Commission, Guizhou University of Finance and Economics
Decent work and economic growth
Openalex Percentile: Top 85%
Work-Family Balance Challenges
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