Abstract

In the context of digital transformation exerting an increasingly profound influence on the global economy and labor structure, identifying research trends in this field has become essential for informing policy and guiding strategic human resource planning. This study employs bibliometric analysis on 739 scholarly works published in the Scopus database between 2020 and 2025, aiming to elucidate the academic landscape surrounding the topic of digital transformation and the labor market. Utilizing analytical tools such as keyword co-occurrence networks, thematic cluster mapping, and conceptual structure analysis, the study reveals three dominant thematic axes: (1) the convergence of technology and skills; (2) the transformation of labor forms within the platform economy; and (3) the growing role of education and workforce development. These findings not only offer a comprehensive overview of the current scholarly discourse but also highlight potential research gaps for future exploration.

Keywords

  • Electronic Machines

References

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