Life against algorithmic management: a study on burnout and its influencing factors among food delivery riders
Under algorithmic management, burnout is prevalent among China's food delivery riders and influenced by multiple factors. Individualized support, humane organizational systems, satisfied work mechanism, and supportive social environment can help lessen algorithmic management's negative effects on food delivery riders and reduce their burnout. This study provides theoretical recommendations to protect occupational health of gig workers in platform economy, and offers valuable guidance for practical application.
Authors
- Lizhi Wu (ORCID: https://orcid.org/0000-0002-7039-0118)
- Jian Dong (ORCID: https://orcid.org/0000-0002-9941-1015)
- Guodong Zhang (ORCID: https://orcid.org/0000-0003-4090-9123)
Institutions
- Shandong First Medical University (CN)
- Shandong University of Science and Technology (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-04-15
- DOI
- https://doi.org/10.3389/fpubh.2025.1531541
- Citations
- 4
- Primary Topic
- Digital Economy and Work Transformation
- Type
- article
- Field-Weighted Citation Impact
- 16.81
Funders
- Natural Science Foundation of Shandong Province