Projects per year
Algorithmic management (AM) as key enabler for managing the 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 theoretical lens to structurally analyze AM-specific job demands (AM-JD) and AM-specific job resources (AM-JR). Based on semi-structured interviews with 21 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 the dynamic relationships between AM, OWB, and job crafting.
|Title of host publication||Proceedings of the ECIS 2023 Research Papers|
|Number of pages||16|
|Publication status||Accepted/In press - 2023|
|Event||The European Conference on Information Systems (ECIS) - Kristiansand, Norway|
Duration: 11 Jun 2023 → 16 Jun 2023
|Conference||The European Conference on Information Systems (ECIS)|
|Period||11/06/2023 → 16/06/2023|
- Algorithmic Management
- Job Demands
- Job Resources
- Occupational Well-being
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- 1 Active
PerMa: Perceived managerial support of algorithmic management: Mitigating harmful effects on the well-being of platform workers
Kirchner, K. & Wiener, M.
01/04/2022 → …
- 1 Participating in or organising a conference