Bibliometric review identifies trends in job satisfaction for gig workers, highlighting algorithmic governance and well-being.
This study presents the first bibliometric review dedicated solely to gig workers’ job satisfaction, offering a focused synthesis of global research trends. Using data extracted from the Scopus database, documents were analyzed through bibliographic coupling, citation metrics, and thematic clustering. The analysis produced four conceptually distinct clusters: algorithmic governance, psychological engagement, geographical well-being, and technostress. Author impact, source influence, and institutional contributions were mapped using citation-based indices and network metrics. Keyword construction was guided by an extensive literature review to ensure terminological inclusiveness. Figures such as thematic maps, trending topics, and co-authorship networks illustrate the evolution and structure of the field, while tables summarize the most influential documents, authors, and sources. By identifying conceptual overlaps, geographic gaps, and emerging themes, this study provides a comprehensive framework and strategic roadmap for future research. It serves as a foundational reference for academics, policymakers, and platform designers seeking to enhance gig worker well-being and satisfaction.
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Jhala et al. (2025) studied this question.
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