Worker power in self-organised networks: Algorithmic management, solidarity and resistance on platforms
This article examines the mobilising and organising practices of ride-hailing drivers in Africa. It draws on the labour process and power resources approaches to foreground the role of socio-political contexts in understanding how platform workers, who are normally understood to be atomised and fragmented, build independent self-organised solidarity networks to exert their power with variable outcomes. It argues that platform workers’ self-organised networks are an important outlet for worker power outside the domains of established unions. In the context of the platform economy, worker power rarely materialises into a meaningful front for resistance and instead their actions can be understood as resilience and reworking of the system to extract material and non-material rewards. This is particularly relevant for workers in some of the most marginalised parts of the world, such as Africa. Drawing on multi-country and multi-year study utilising in-depth interviews with African Uber drivers and leaders of driver groups and digital ethnography of worker communication channels, the paper outlines several socio-economic and political constraints faced by ride-hailing drivers which can inhibit collective resistance.
Authors
- Mohammad Amir Anwar (ORCID: https://orcid.org/0000-0002-5213-4022)
Institutions
- University of Johannesburg (ZA)
- University of Edinburgh (GB)
Publication Details
- Journal
- Platforms & Society
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1177/29768624251369063
- Primary Topic
- Digital Economy and Work Transformation
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- British Academy