DOI - Mendel University Press

DOI identifiers

DOI: 10.11118/978-80-7701-042-9-0026

SKILL MISMATCH IN THE DIGITAL ECONOMY: A SCIENTOMETRIC ANALYSIS USING EIGENVECTOR CENTRALITY

Khalil Bourgou1, Anna Dunay1, Katalin Lipták2
1 John von Neumann University, Doctoral School of Management and Business Administration, Budapest, Hungary
2 University of Miskolc, Faculty of Economics, Miskolc, Hungary

We used the scientometric approach, where based on 3,174 Web of Science publications from 1975 to 2025, we identified key research clusters, prominent researchers, and thematic patterns. Some of the most salient themes that emerged were issues currently facing educators in digital literacy, automation ethics, workforce adaptability, and labour market polarization, along with the continuing disconnect between education system products and industry demands. Eigenvector Centrality produced a ranking of institutions and authors with a substantive systemic impact, which concentrated throughout their influence on the intellectual trajectory in the field.

Keywords: labour market dynamics, skill mismatch, digital economy, eigenvector centrality, scientometric analysis, industry 4.0

pages: 26-28, online: 2025



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