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Rival Pahrijal
Universitas Nusa Putra
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Energy Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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A Bibliometric Analysis of Talent Acquisition in Human Resource Management Loso Judijanto; Rival Pahrijal; Rani Eka Arini
West Science Social and Humanities Studies Vol. 4 No. 08 (2026): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v4i08.3084

Abstract

Talent acquisition has become a strategic pillar of human resource management (HRM) as organizations compete for scarce skills in an increasingly digitalized labor market. This study conducts a bibliometric analysis to investigate the intellectual structure, thematic evolution, influential publications, and collaboration patterns of talent acquisition research within the human resource management literature. The data were collected from the Scopus database using the keywords "talent acquisition" and "human resource management" and analyzed using VOSviewer to conduct keyword co-occurrence analysis, overlay and density visualization, citation analysis, co-authorship analysis, institutional collaboration mapping, and country collaboration analysis. The results show that human resource management, talent management, talent acquisition, and recruitment constitute core themes linked with organizational decision-making, HR analytics, predictive analytics, artificial intelligence, and machine learning. Based on citation analysis, key contributions such as artificial-intelligence adoption for talent acquisition, crisis-responsive HRM strategy, and HRM-driven knowledge management capacity significantly influence the field. The collaboration analysis demonstrates that India serves as the dominant contributor and central hub of an international research network extending to the United Kingdom, the United States, China, and several European and Asian countries, while co-authorship and institutional mapping reveal small, loosely connected research communities bridged by a limited number of prolific scholars and universities. Furthermore, thematic evolution indicates a transition from traditional recruitment and workforce-planning perspectives toward artificial-intelligence-enabled, data-driven, and predictive talent-acquisition practices. This study contributes by providing a comprehensive mapping of talent acquisition research development and identifying critical research gaps for future scholarship, particularly regarding cross-institutional collaboration and the integration of emerging technologies with human-centered talent strategy.
Co-Authors Agung Zulfikri Alifah Wilanda Anang Sugeng Cahyono Andri Ardhiyansyah Andri Triyantoro Andriya Risdwiyanto Anggrany Chaniago Aria Elshifa Arief Fahmi Lubis Budi Harto Dewi Endah Fajariana, Dewi Endah Dila Padila Nurhasanah Dina Amalya Putri Efi Endang Dwi Setyorini Erwin Erwin Eva Yuniarti Utami Farida Arinie Soelistianto Farida Arinie Soelistianto Fatma Sarie Gusti Rusmayadi Hayu Lusianawati Heliani Heri Setiyawan I Wayan Karang Utama Ilham Akbar Bunyamin Indah Dwiprigitaningtias Istiarsyah, Istiarsyah Kalijunjung Hasibuan KMT Lasmiatun Loso Judijanto Muhamad Ammar Muhtadi Muhammad Ade Kurnia Harahap Muhammad Faisal Muhammad Rusdi Muhammad Rusdi Nabain Idrus Nuryati Solapar Paramita Andiani Ramdhan Kurniawan Rani Eka Arini Rena Yuliana Rissa Megavitry Rully Fildansyah Salwa Aulia Novitasari Sukini Sukini Sulistyo Andarmoyo Sumarni Sumarni Supriandi Supriandi Supriandi Supriandi Syarifuddin Syarifuddin Tahir, Abdul Tina Isnaeni Usman Tahir Wijayanti, Indah Oktari Wira Pramana Putra Yana Priyana Zainal Arifin