From algorithmic management to data-driven labour organising: A trade union approach to workplace datafication

Publikation: Bidrag til tidsskriftTidsskriftartikelForskning

Dokumenter

  • Stig Nyman
  • Olivia Benfeldt
  • Maren Gierlich-Joas
  • Bagger, Christoffer
  • Sine Zambach
  • Andreas Blicher
  • Somnath Mazumdar
  • Jacob Nørbjerg
  • Mads Bødker
  • José Parra-Moyano
  • Tina Blegind Jensen
  • Torkil Clemmensen
The increasing datafication of the workplace is often cast as a source of organisational and managerial control of workers. This reflection note moves beyond this view and coins the term data-driven labour organising to discuss the potential of workplace datafication as a means of informing workers about their working conditions and use data to advocate for their collective goals. Forging a research agenda on data-driven labour organising, the reflection note engages with the historical roots of Scandinavian IS research, particularly the Trade Union (TU) approach. Mobilising the TU approach as a vantage point for re-imagining research on workplace datafication, the reflection note outlines three emerging research topics critical for shifting research focus from uses of data for managerial purposes to labour organising. The reflection note concludes by discussing how the TU tradition also invokes a certain research ethos of practical and political engagements, prompting IS researchers to get their hands dirty.
OriginalsprogEngelsk
TidsskriftScandinavian Journal of Information Systems
ISSN0905-0167
StatusAccepteret/In press - 2024

ID: 379032686