A Bibliometric Study on Job and Employment Transformation in the Digital Economy
DOI:
https://doi.org/10.71238/snhss.v2i01.50Keywords:
Employment Transformation, Digital Economy, Automation, Labor Market, Bibliometric AnalysisAbstract
The transformation of jobs and employment structures in the digital economy is a critical area of inquiry amid rapid technological advancement and structural shifts in labor markets. This study conducts a bibliometric analysis to map the intellectual landscape of this domain using data extracted from the Scopus database. Utilizing VOSviewer for network and density visualizations, the analysis covers publication trends, author and country collaborations, citation patterns, and keyword co-occurrence between 2000 and 2024. The results reveal that employment is a central theme, strongly associated with concepts such as digital transformation, automation, artificial intelligence, and labor market restructuring. Two main research clusters are identified: one centered on technology-induced disruption and the other on skills development and labor adaptation. While the United States and China dominate the research landscape, emerging collaborations from Europe and Asia reflect growing global interest. The findings offer insights into the evolution of research priorities and point to future research directions, including interdisciplinary integration, ethical considerations, and inclusive digital workforce policies. This study contributes to a deeper understanding of how academic discourse is shaping responses to the changing world of work in the digital age.
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