Surveillance at Work? Exploring the impact of Algorithmic Monitoring on Autonomy and Job Satisfaction
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2025-08-29
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en
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This study investigated the relationship between Algorithmic Monitoring (AM) and job satisfaction, through the mediating effects of method autonomy, decision-making autonomy and timing autonomy. Drawing on existing theory on job design, autonomy is examined as a multidimensional construct, meaning that method autonomy, decision-making autonomy and timing autonomy were discussed and analyzed separately. To empirically test the hypotheses, a survey was conducted, using scales that were validated in existing research. A total of 91 respondents participated in the survey. These respondents were partially recruited from the researcher’s social network and partially from an organization in which AM was integrated. The results of this survey were analyzed through a parallel mediation model. The findings showed that while AM significantly reduced each dimension of autonomy, only decision-making autonomy was positively related to job satisfaction. Furthermore, this was the only dimension of autonomy that significantly mediated the relationship between AM and job satisfaction. As no direct effect between AM and job satisfaction was established, the findings of this study suggest that the influence of AM on job satisfaction is only present when the mediating factor of decision-making autonomy is present. This highlights the need for future research to examine under what conditions AM impacts job satisfaction
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Faculteit der Managementwetenschappen