Algorithmic management in European workplaces: Implications for work organisation and working conditions
This study presents a secondary analysis of data from Eurofound’s Seventh European Working Conditions Survey (EWCS 2024) that explores the prevalence of digital technologies in modern workplaces and the spread of algorithmic management practices. By linking workers’ reported exposure to computer programmes that monitor performance, allocate tasks, and schedule work with indicators of job quality, the analysis assesses how technology reshapes work. It also identifies distinct worker profiles based on patterns of digital technology use and the characteristics associated with each profile. The findings will inform policymaking aimed at promoting high-quality jobs in increasingly digital workplaces.
This study presents a secondary analysis of data from Eurofound’s European Working Conditions Survey 2024 (EWCS 2024) that explores the prevalence of digital technologies in modern workplaces and the spread of algorithmic management practices. By linking workers’ reported exposure to computer programmes that monitor performance, allocate tasks, and schedule work with indicators of job quality, the analysis assesses how technology reshapes work. It also identifies distinct worker profiles based on patterns of digital technology use and the characteristics associated with each profile. The findings will inform policymaking aimed at promoting high-quality jobs in increasingly digital workplaces.
