Digital Transformation and The Labor Market: A Ibliometric Analysis Using The Scopus Database (2020–2025)

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.

Authors

Institutions

Publication Details

Journal
International Journal of Scientific Research and Management (IJSRM)
Published
2025-08-28
DOI
https://doi.org/10.18535/ijsrm/v13i08.em13
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital Transformation and The Labor Market: A Ibliometric Analysis Using The Scopus Database (2020–2025)

Amy Tang, Thi Thanh Hai Dinh
1 links
International Journal of Scientific Research and Management (IJSRM)
Digital Transformation in Industry
article

Digital Transformation and The Labor Market: A Ibliometric Analysis Using The Scopus Database (2020–2025)

Amy Tang, Thi Thanh Hai Dinh
article en

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.

International Journal of Scientific Research and Management (IJSRM)Vol. 13(08)
Research Institute for Labour and Social Affairs (CZ), University of Labor and Social Affairs (VN)
Openalex Percentile: Top 69%
Digital Transformation in Industry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.