Paper Number
ECIS2026-1328
Paper Type
SP
Abstract
This research in progress investigates how algorithmic control (AC) systems on online labour platforms change through a dialectical process shaped by the interaction between algorithmic control and worker resistance. Moving beyond predominantly technical perspectives, we conceptualize AC systems as contested socio-technical terrains in which control and resistance form the central oppositional forces. Using a longitudinal single-case study of Uber and dialectical process analysis, we trace how opposition-response cycles between algorithmic control (thesis) and worker resistance (antithesis) generate tensions that drive systemic change. Our preliminary findings show that AC systems evolve through emergent and often unstable syntheses, as platforms selectively reconfigure control mechanisms in response to salient worker resistance. This study contributes a process-based, dialectical model of AC system change and advances a more relational understanding of algorithmic control systems.
Recommended Citation
Weber, Matthias, "Contested Terrain Dynamics: A Dialectical Inquiry Of Change In Algorithmic Control Systems" (2026). ECIS 2026 Proceedings. 2.
https://aisel.aisnet.org/ecis2026/algo_fow/algo_fow/2
Contested Terrain Dynamics: A Dialectical Inquiry Of Change In Algorithmic Control Systems
This research in progress investigates how algorithmic control (AC) systems on online labour platforms change through a dialectical process shaped by the interaction between algorithmic control and worker resistance. Moving beyond predominantly technical perspectives, we conceptualize AC systems as contested socio-technical terrains in which control and resistance form the central oppositional forces. Using a longitudinal single-case study of Uber and dialectical process analysis, we trace how opposition-response cycles between algorithmic control (thesis) and worker resistance (antithesis) generate tensions that drive systemic change. Our preliminary findings show that AC systems evolve through emergent and often unstable syntheses, as platforms selectively reconfigure control mechanisms in response to salient worker resistance. This study contributes a process-based, dialectical model of AC system change and advances a more relational understanding of algorithmic control systems.
When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.