The Impact of Perceived Algorithmic Goal Setting on Job Satisfaction, Stimulating Job Characteristics and the Role of Organizational Culture.
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2025-08-29
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en
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This study investigates how perceived Algorithmic Goal Setting (AGS), a function of algorithmic management, affects job satisfaction. It examines both the direct effect of AGS on job satisfaction and the indirect effect via stimulating job characteristics. Additionally, it explores whether this indirect relationship is moderated by organizational culture, using four cultural types: involvement, consistency, adaptability, and mission. Based on a quantitative survey of 102 employed respondents, the study uses mediation and moderated mediation analyses (PROCESS models 4 and 7). Results show that AGS reduces stimulating job characteristics, which in turn lowers job satisfaction, indicating a significant indirect effect, but no direct effect. None of the cultural types significantly moderated this relationship. The findings highlight the importance of preserving job stimulation when implementing AGS and offer theoretical contributions to work design and algorithmic management research.
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Faculteit der Managementwetenschappen