1. THE DYNAMIC RELATIONSHIPS BETWEEN ALGORITHMIC MANAGEMENT AND WORKERS' OCCUPATIONAL WELL-BEING: A JOB DEMANDSRESOURCES PERSPECTIVE.
- Author
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Lippert, Isabell, Kirchner, Kathrin, and Saunders, Carol
- Subjects
EMPLOYEE well-being ,INFORMATION storage & retrieval systems ,DATA integration ,ALGORITHMIC bias ,LOCAL delivery services - Abstract
Algorithmic management (AM) as key enabler for managing workforce in food delivery services has recently raised growing concerns about workers' occupational well-being (OWB). Existing studies mainly emphasize negative impacts of AM on workers' OWB, e.g., stress due to constant tracking. Contrastingly, a few studies show positive aspects of AM, e.g., receiving personalized real-time feedback. Getting to the root of these opposing findings, we use the job demands-resources (JD-R) model as primary theoretical lens to abductively analyze AM-specific job demands (AM-JD) and AM-specific job resources (AM-JR). Based on semi-structured interviews with 16 food delivery riders in Germany, this study paints a nuanced picture of AM, e.g., by identifying AM-JRs, that help to mitigate AM-JDs. We further find that job crafting, i.e., proactively changing work-related boundaries, increases AM-JRs and workers' OWB. Drawing on our results, we present the integrated DYNAMO Model, which shows novel dynamic relationships between AM, OWB, and job crafting. [ABSTRACT FROM AUTHOR]
- Published
- 2023