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All Journal J-MACC : Journal of Management and Accounting International Journal of Educational Administration, Management, and Leadership
Moh. Badrut Tamam
Universitas Negeri Makassar
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences Other

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TECHNOLOGICAL UNEMPLOYMENT IN THE AGE OF GENERATIVE AI: A BIBLIOMETRIC REVIEW OF LABOUR MARKET DISRUPTION, JOB EXPOSURE, AND RESKILLING RESEARCH Moh. Badrut Tamam
J-MACC Vol 9 No 1 (2026): April
Publisher : Fakultas Ekonomi Universitas Islam Darul Ulum Lamongan

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Abstract

This study maps the intellectual, conceptual, and social structure of research on technological unemployment in the age of generative artificial intelligence (GenAI), with particular attention to labour market disruption, job exposure, and reskilling. Unlike prior reviews that discuss artificial intelligence and employment in broad terms, this study specifically integrates these three dimensions within the context of GenAI, thereby offering a more focused understanding of how the future-of-work literature is evolving. Using a bibliometric review design, the study analyses 810 documents published between 2022 and 2026 across 538 sources. The findings show a sharp increase in publication output after 2023, indicating that the field has entered a rapid expansion phase following the widespread diffusion of large language models and related generative systems. The intellectual structure of the field is anchored in four major domains: automation and displacement economics, AI and digital transformation, organisational and human resource management, and sociotechnical perspectives on digital work. Conceptually, the field is shifting from broad concerns with automation and technological change toward future of work, decision making, generative AI, occupational exposure, and adaptive capability. These findings suggest that technological unemployment in the GenAI era is increasingly framed not merely as job loss, but as a broader process of task transformation, workforce vulnerability, and institutional adaptation, with important implications for research, policy, and organisational strategy.
Talent Management And Academic Workforce Research In Higher Education: A Bibliometric Review Moh. Badrut Tamam
International Journal of Educational Administration, Management, and Leadership Volume 7, Number 1, May 2026
Publisher : Har Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51629/ijeamal.v7i1.307

Abstract

Research on talent management and the academic workforce in higher education has expanded across multiple disciplinary areas, yet the literature remains conceptually dispersed and lacks an integrated bibliometric synthesis. This study aims to map the development, intellectual structure, and emerging themes of talent management and academic workforce research in higher education. A bibliometric review was conducted using the Scopus database, with data retrieved through the TITLE-ABS-KEY field and refined through a staged screening process. The final sample comprised 650 English-language journal articles published between 2015 and 2025. The analysis combined performance analysis and science mapping to examine publication trends, influential contributors, collaboration patterns, and thematic evolution. The findings show that the field has grown steadily, with an annual growth rate of 13.04%, indicating increasing scholarly attention to the strategic role of academic talent in higher education. The literature is interdisciplinary and widely distributed across journals, institutions, and countries, although author collaboration remains relatively fragmented. Conceptually, the field has evolved from traditional personnel and workforce concerns toward broader and more strategic themes, including leadership, job satisfaction, work engagement, well-being, workload, and institutional sustainability. These results suggest that talent management in higher education is increasingly understood as a multidimensional institutional strategy for attracting, developing, supporting, and retaining academic staff. This study contributes by providing a comprehensive intellectual map of the field and offering directions for future research on sustainable academic workforce management in higher education.
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