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Abstract
Research on talent management (TM) in higher education has witnessed a positive development in recent years, following the rising recognition of TM as a key strategy for higher learning institutions to achieve competitive advantage and sustainable performance. However, a comprehensive review of TM using bibliometric analysis that focused on TM research in higher education has not been published. Following this gap, the present study used quantitative bibliometric approaches to statistically and objectively explore research publication patterns of TM in higher education. VoSviewer and Bibliometrix R-package were used to analyse data retrieved from the Scopus database. This analysis involved seven indicators such as highly cited papers, prominent authors, co-authorship patterns among countries, influential journals and countries, thematic mapping, emerging trends, and bibliographic coupling. Results showed that TM in higher education is an evolving topic, with contributions from scholars since 2006. It emerged from this study that topics such as leadership, recruitment, talent attraction, talent development, talent retention, and employee engagement are inherent to TM in higher education. It is important to study the development of TM research in higher education and its characteristics as this type of analysis is still scarce in the literature. The present study contributes to the literature by providing the evolution of this research field as well as helping scholars shape future work in this field.
IMPACT STATEMENT
Our paper presents findings and discussions on the evolution of talent management (TM) research in higher education, elicited using bibliometric approaches. This study is motivated by past scholars and practitioners who have recognized the importance of TM as a key strategy for organizations to achieve a strategic advantage and sustainable performance. This article contributes to the understanding of current developments in TM research in the higher education context. Discussions in this article can facilitate readers in thinking about ways to improve research and practices of TM in higher education, as well as in their respective contexts. Our bibliometric analyses, which have been explained in a straightforward manner, can be adapted by future scholars who are interested in studying the evolution of research studies in their respective areas.
REVIEWING EDITOR:
Disclosure statement
No potential conflict of interest was reported by the author(s).
Data availability statement
The original dataset from which the results of this article were analysed and delineated are available on Scopus.com.
Additional information
Funding
Notes on contributors
Razlina Razali
Razlina Razali is a senior lecturer at the Academy of Language Studies, Universiti Teknologi MARA Perlis Branch, Malaysia. Her areas of interests include feedback, talent in higher education, teaching and learning, applied linguistics and bibliometric study.
Muhammad Aiman Arifin
Muhammad Aiman Arifin is a senior lecturer in the Faculty of Business and Management, Universiti Teknologi MARA Perlis Branch, Malaysia. His research interests include competency development, talent management, instrument development, HR policies and bibliometric study.
Latisha Asmaak Shafie
Latisha Asmaak Shafie is an associate professor at Universiti Teknologi MARA Perlis Branch, Malaysia. Her research areas are digital discourse, identities, social media studies, autoethnography, informal learning, and AIassisted learning and teaching.
Farah Lina Azizan
Farah Lina Azizan is a senior lecturer in the Faculty of Business and Management, Universiti Teknologi MARA Perlis Branch, Malaysia. Her areas of expertise are marketing management, leadership and organizational communication.
Mohd Azlan Mohd Ishak
Mohd Azlan Mohd Ishak is a professor in the Faculty of Applied Sciences, Universiti Teknologi MARA Perlis Branch, Malaysia. His research areas include coal liquefaction and pyrolysis, energy and green chemistry, supercritical extraction, activated materials and coal and biomass blends.