A Bibliometric Analysis of Sociological Studies on the Social Impacts of Algorithmic Management

This study examines the social aspects and societal impacts of algorithmic management from a sociological perspective through bibliometric analysis. The research analyzes literature related to algorithmic management and governance using co-occurrence network analysis and thematic mapping. The findings reveal the wide-ranging effects of algorithms on workforce management, platform economy, and governance processes. Specifically, the terms algorithmic management and algorithmic governance occupy a central position in the literature, with increasing attention being directed toward these areas. Algorithmic management has established strong connections with platform work, gig economy, and algorithmic control, leading to significant transformations in the business world. Meanwhile, algorithmic governance is closely linked to artificial intelligence, blockchain, and transparency. This study incorporates critical sociological theories, such as Foucault’s panopticism (Foucault, 1977), Giddens’ structuration theory (Giddens, 1984), and Weber’s rationalization theory (Weber, 1922), to provide a more comprehensive analytical framework. In conclusion, the study provides an in-depth analysis of the impacts of algorithms on social structures and workforce dynamics, suggesting that these themes require further exploration in future research.