Implications of algorithmic management for work, employment and social dialogue: Literature review

Riso, Sara; Adăscăliței, Dragoș; Oosterwijk, Gerard

Ħarsa ġenerali

Dokument ta' ħidma

Implications of algorithmic management for work, employment and social dialogue: Literature review

Ippubblikat: 10 November 2025

Aġġornat l-aħħar: 19 February 2026

Sara Risoand 2 other authors

Jekk jogħġbok innota li l-biċċa l-kbira tal-pubblikazzjonijiet tal-Eurofound huma disponibbli esklussivament bl-Ingliż u bħalissa mhumiex qed jiġu tradotti awtomatikament.

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Nru ta' referenza

WPEF25083

Dokument ta' ħidma

26 September 2025

Implications of AI for work, employment and social dialogue: Literature review

Laura Nurski

Artificial intelligence (AI) is advancing at a pace that, for many observers, recalls earlier general purpose technologies such as electricity or the computer. Recent research breakthroughs in deep learning, large language models and generative AI systems have been followed by rapid experimentation and adoption in the workplace, provoking renewed attention to their economic and social consequences by media, regulators, governments and social partners.

Rapport ta' riċerka

24 May 2018

Automation, digitisation and platforms: Implications for work and employment

Enrique Fernández-Macías

The onset of the digital revolution has resulted in technological advances that are constantly evolving. A key element of concern to policymakers is the impact that these changes will have on the world of work and employment. This report reviews the history of the digital revolution to date, placing it in the context of other periods of marked technological advances and examining how technological change interacts with changes in institutions. Digital technologies have considerable disruptive potential, including making production much more flexible and information more readily available. While the information technology sector has been most affected to date, other sectors are rapidly changing with the diffusion of new technology. The report also examines three key vectors of change: automation of work, the incorporation of digital technology into processes, and the coordination of economic transactions through the digital networks known as ‘platforms’.