Research trends on the relationship between skills, technologies and employment prospects

  • Qianqian Mo *
  • Siti Nisrin Mohd Anis Faculty of Educational Sciences and Technology, Universiti Teknologi Malaysia, Johor 81310, Malaysia
Article ID: 4815
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Keywords: scientometric analysis; new era professions; academic collaboration; publication trends; workforce evolution; emerging skills

Abstract

The multifaceted nature of the skills required by new-age professions, reflecting the dynamic evolution of the global workforce, is the focal point of this study. The objective was to synthesize the existing academic literature on these skills, employing a scientometric approach . This involved a comprehensive analysis of 367 articles from the merged Scopus and Web of Science databases. Science. We observed a significant increase in annual scientific output, with an increase of 87.01% over the last six years. The United States emerged as the most prolific contributor, responsible for 21.61% of total publications and receiving 34.31% of all citations. Using the Tree algorithm of Science (ToS), we identified fundamental contributions within this domain. The ToS outlined three main research streams: the convergence of gender, technology, and automation; defining elements of future work; and the dualistic impact of AI on work, seen as both a threat and an opportunity. Furthermore, our study explored the effects of automation on quality of life, the evolving meaning of work, and the emergence of new skills. A critical analysis was also conducted on how to balance technology with humanism, addressing challenges and strategies in workforce automation. This study offers a comprehensive scientometric view of new-age professions, highlighting the most important trends, challenges, and opportunities in this rapidly evolving field.

Author Biography

Qianqian Mo

1. Faculty of Educational Sciences and Technology, Universiti Teknologi Malaysia, Johor 81310, Malaysia

2. Wenzhou Polytechnic, Wenzhou 325035, China

Published
2025-12-06
How to Cite
Mo, Q., & Mohd Anis, S. N. (2025). Research trends on the relationship between skills, technologies and employment prospects . Human Resources Management and Services, 7(4), 2. Retrieved from https://ojs.piscomed.com/index.php/HRMS/article/view/4815
Section
Article

References

Acemoglu, D., & Restrepo, P. (2018). Low-Skill and High-Skill Automation. Journal of Human Capital, 12(2), 204–232. https://doi.org/10.1086/697242

Alibasic, A., Upadhyay, H., Simsekler, M. C. E., et al. (2022). Evaluation of the trends in jobs and skill-sets using data analytics: a case study. Journal of Big Data, 9(1). https://doi.org/10.1186/s40537-022-00576-5