Data-driven Labor Organizing: Helping workers or driving the insatiable hunger for data

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Version: Final published version
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Serval ID
serval:BIB_4B7BF3D7D5DF
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Data-driven Labor Organizing: Helping workers or driving the insatiable hunger for data
Journal
Scandinavian Journal of Information Systems
Author(s)
Mettler Tobias
Publication state
Published
Issued date
31/12/2024
Peer-reviewed
Oui
Volume
36
Number
2
Pages
347-352
Language
english
Abstract
This article is a response to Nyman et al. (2024) article on forging a research agenda on data-driven labor organizing. While recognizing the potential benefits, this short commentary posits that data-driven labor organizing might transfer the responsibility from trade unions to individual workers. This transfer, however, may have limited efficacy as it fails to address today’s major power imbalances and the constrained collective bargaining capacity of trade unions in certain industry sectors.
Keywords
data-driven labor organizing, datafication, trade unions, work surveillance
Open Access
Yes
Create date
31/12/2024 13:38
Last modification date
01/01/2025 7:43
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