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Risks to job quality from digital technologies- are industrial relations in Europe ready for the challenge?

Author

Listed:
  • Janine Berg
  • Francis Green
  • Laura Nurski
  • David Spencer

Abstract

The paper extends the debate about the future of work beyond employment and pay, to a consideration of job quality more broadly.

Suggested Citation

  • Janine Berg & Francis Green & Laura Nurski & David Spencer, 2022. "Risks to job quality from digital technologies- are industrial relations in Europe ready for the challenge?," Bruegel Working Papers node_8318, Bruegel.
    • Handle: RePEc:bre:wpaper:node_8318
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    File URL: https://www.bruegel.org/system/files/2022-11/WP%2016.pdf
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    Citations

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    Cited by:

    1. Meng Cai, 2025. "Transforming Trade and Environment: Digital Trade's Impact on Carbon Emissions in the European Union," Journal of International Development, John Wiley & Sons, Ltd., vol. 37(2), pages 570-583, March.
    2. Madalina Mazare & Catalin-Alexandru Verdes & Alexandra-Andreea Mironescu, "undated". "Remote Working Risk Exposure - An Europe Digital Coverage Case Study," BASIQ Conference Proceedings 2024:046, Bucharest University of Economic Studies.
    3. Nikolova, Milena & Cnossen, Femke & Nikolaev, Boris, 2024. "Robots, meaning, and self-determination," Research Policy, Elsevier, vol. 53(5).
    4. 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.
    5. Benjamin Schneider & Jane Whittle, 2024. "Where is the Place in the History of Work? Worksites, Workspaces, and the Home-Work Nexus," Oxford Economic and Social History Working Papers _213, University of Oxford, Department of Economics.
    6. Janine Berg & Francis Green & Laura Nurski & David A Spencer, 2023. "Risks to job quality from digital technologies: Are industrial relations in Europe ready for the challenge?," European Journal of Industrial Relations, , vol. 29(4), pages 347-365, December.
    7. Gallie, Duncan & Zhou, Ying, 2025. "The Meaning and Meaningfulness of Work - the View from Sociology," GLO Discussion Paper Series 1652, Global Labor Organization (GLO).
    8. Jannes ten Berge & Zoltán Lippényi, 2026. "Firm-level technology implementation and finding a new job: The moderating role of industry unionization," Economic and Industrial Democracy, Department of Economic History, Uppsala University, Sweden, vol. 47(1), pages 271-303, February.
    9. Shurong Zi & Ziyuan Pan & Yanjie Chen & Xinheng Liu & Qi Ban, 2025. "Intelligent Manufacturing and Pollution Emissions from Chinese Manufacturing Firms: Theories and Mechanisms," Sustainability, MDPI, vol. 17(2), pages 1-21, January.
    10. Yaminette Díaz‐Linhart & Thomas Kochan & Arrow Minster & Dongwoo Park & Duanyi Yang, 2025. "Does Voice Gap Influence Workers’ Job Attitudes and Well‐Being? Measuring Voice as a Dimension of Job Quality," British Journal of Industrial Relations, London School of Economics, vol. 63(3), pages 429-444, September.
    11. Benjamin Schneider & Hillary Vipond, 2023. "The Past and Future of Work: How History Can Inform the Age of Automation," CESifo Working Paper Series 10766, CESifo.
    12. Gordon Burtch & Brad Greenwood & Kiron Ravindran, 2025. "Lucy and the Chocolate Factory: Warehouse Robotics and Worker Safety," ILR Review, Cornell University, ILR School, vol. 78(4), pages 587-613, August.
    13. M. Damiani & Fabrizio Pompei & Andrea Ricci, 2025. "Green Transition and Industrial Relations at the Workplace: Evidence From Italian Firms," British Journal of Industrial Relations, London School of Economics, vol. 63(2), pages 323-340, June.
    14. Xin, Baogui & Ye, Xiaopu, 2024. "Robotics applications, inclusive employment and income disparity," Technology in Society, Elsevier, vol. 78(C).
    15. Felix Schulz & Danat Valizade & Mark Stuart & Magdalena Soffia & Jolene Skordis, 2026. "Artificial Intelligence Technologies and Employee Pay in the United Kingdom: Evidence From Matched Employer–Employee Data," British Journal of Industrial Relations, London School of Economics, vol. 64(1), pages 116-129, March.

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