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Algorithmic Management practices in regular workplaces: case studies in logistics and healthcare

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Abstract

This report has been drafted jointly by the JRC and the International Labour Organization. The report is part of a series of four joint publications that together represent the main final outcomes of a 2.5-year joint research project on the changing nature of work at a global level. The objective of this study is to understand better the algorithmic management practices adopted by regular workplaces. We investigate the degree of penetration and impact of algorithmic management on work organisation, job quality and industrial relations focusing on the logistics and healthcare sectors. The research has been conducted in two European countries (Italy and France) and two non-European countries (India and South Africa), allowing for a comparative analysis across countries in the Global North and Global South. We show that algorithmic management is widely present in traditional sectors, with benefits in terms of streamlining and simplification of work processes and efficiency gains. The implications of these new forms of work for work organisation and working conditions are also discussed. We show significant challenges in terms of potential deterioration of job quality as well as concerns regarding the strong potential for intrusive worker surveillance.

Suggested Citation

  • RANI Uma & PESOLE Annarosa & GONZALEZ VAZQUEZ Ignacio, 2024. "Algorithmic Management practices in regular workplaces: case studies in logistics and healthcare," JRC Research Reports JRC136063, Joint Research Centre.
  • Handle: RePEc:ipt:iptwpa:jrc136063
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    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC136063
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    Cited by:

    1. Mariscal De Gante Martin Alvaro & Gonzalez Vazquez Ignacio & Fernandez Macias Enrique, 2026. "Job quality and the platformisation of regular work: A cross-country analysis of digital monitoring and algorithmic management in the EU," JRC Working Papers on Labour, Education and Technology 2026-01, Joint Research Centre.
    2. 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.
    3. Gonzalez Vazquez Ignacio & Mariscal De Gante Martin Alvaro & Hakansta Carin & Strauss-Raats Pille & Stahl Christian & Ferm Lisa & Grande Rafael & Vallejo Alberto & Lind Ruben & Lowstedt Lisen & Norlin, 2025. "Work in the green and digital transition: insights from case studies in Spain and Sweden," JRC Working Papers on Labour, Education and Technology 2025-08, Joint Research Centre.
    4. Margherita Russo & Armanda Cetrulo & Annamaria Simonazzi, 2025. "Digitalization and automation in the automotive sector: the manifold role of lean production," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 15(4), pages 1129-1165, December.
    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.

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