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Algorithmic management and collective bargaining

Author

Listed:
  • Valerio De Stefano

    (York University, Toronto, Ontario, Canada)

  • Simon Taes

    (Institute for Labour Law of the KU Leuven, Belgium)

Abstract

This article addresses the challenges raised by the introduction of algorithmic management and artificial intelligence in the world of work, focusing on the risks that new managerial technologies present for fundamental rights and principles, such as non-discrimination, freedom of association and the right to privacy. The article argues that collective bargaining is the most suitable regulatory instrument for responding to these challenges, and that current EU legislative initiatives do not adequately recognise the role of collective bargaining in this area. It also maps current initiatives undertaken by national trade union movements in Europe to govern algorithmic management.

Suggested Citation

  • Valerio De Stefano & Simon Taes, 2023. "Algorithmic management and collective bargaining," Transfer: European Review of Labour and Research, , vol. 29(1), pages 21-36, February.
    • Handle: RePEc:sae:treure:v:29:y:2023:i:1:p:21-36
    DOI: 10.1177/10242589221141055
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    References listed on IDEAS

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    1. Virginia Doellgast & Ines Wagner & Sean O’Brady, 2023. "Negotiating limits on algorithmic management in digitalised services: cases from Germany and Norway," Transfer: European Review of Labour and Research, , vol. 29(1), pages 105-120, February.
    2. Philippa Collins & Joe Atkinson, 2023. "Worker voice and algorithmic management in post-Brexit Britain," Transfer: European Review of Labour and Research, , vol. 29(1), pages 37-52, February.
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    Citations

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    Cited by:

    1. Jacopo Staccioli & Maria Enrica Virgillito, 2025. "Will your boss be an algorithm? A patent-based analysis of artificial intelligence worker management technologies and labour exposure," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 15(4), pages 1003-1033, December.
    2. ALOISI Antonio, 2025. "Integrating the EU Twin (Green and Digital) Transition? Synergies, Tensions and Pathways for the Future of Work," JRC Working Papers on Labour, Education and Technology 2025-01, Joint Research Centre.
    3. Valerio De Stefano & Virginia Doellgast, 2023. "Introduction to the Transfer special issue. Regulating AI at work: labour relations, automation, and algorithmic management," Transfer: European Review of Labour and Research, , vol. 29(1), pages 9-20, February.
    4. Kristin Jesnes, 2023. "Shifting gears: how platform companies maintain power in app-based food delivery in Norway," Transfer: European Review of Labour and Research, , vol. 29(4), pages 507-524, November.
    5. Nathalie Greenan & Dario Guarascio & Jelena Reljic, 2025. "AI and the labour market: opening the black box," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 15(4), pages 925-951, December.
    6. Athina Avagianou & Georgios Chatzichristos & Andrew Herod & Stelios Gialis, 2025. "Precarity and agency in youthspaces of work: The case of food delivery platform workers in Athens, Greece," Environment and Planning A, , vol. 57(1), pages 58-76, February.
    7. Maurus Mpunga, 2025. "Technology, automation, and industrial relations: the future of HRM in Ilala municipal, Tanzania," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 14(4), pages 82-92, June.

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