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All Journal Randwick International of Social Science Journal Jurnal Multidisiplin Madani (MUDIMA) Formosa Journal of Multidisciplinary Research (FJMR) Asian Journal of Management Analytics ARZUSIN: Jurnal Manajemen dan Pendidikan Dasar International Journal of Management and Business Intelligence (IJMBI) International Journal of Applied and Advanced Multidisciplinary Research (IJAAMR) International Journal of Educational and Life Sciences (IJELS) International Journal of Applied Educational Research (IJAER) International Journal of Applied and Scientific Research (IJASR) International Journal of Education, Management, and Technology International Journal of Humanities, Education, and Social Sciences
Mahat, Dipak
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Religion Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Public Health Social Sciences Other

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Journal : Formosa Journal of Multidisciplinary Research (FJMR)

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Artificial Intelligence in Human Resource Management: A Bibliometric Analysis Comparing Pre- and Post-COVID-19 Literature Mahat, Dipak
Formosa Journal of Multidisciplinary Research Vol. 3 No. 7 (2024): July 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjmr.v3i7.9875

Abstract

Existing research on AI applications in HRM has focused on specific functions with limited exploration of other areas. Changes in publication trends and focuses coinciding with COVID-19 require investigation. Study conducted a bibliometric analysis of 233 publications from 2015-2024 in the Scopus database, analyzing trends in sources, authorship, institutions, countries, keywords and themes. The results show an exponential surge in the annual number of publications since 2020, indicating that COVID-19 accelerated interest in AI-driven workforce innovations. Research efforts became more concentrated among prolific authors, core journals, and leading universities. Study reveals how the pandemic triggered substantive changes, transforming AI-HRM research into a more globally engaged and focused field. This is the first comprehensive bibliometric study to analyze how COVID-19 transformed AI-HRM research landscape in terms of quantitative trends, participants and investigated topics.
Co-Authors Ban, Padam Basnet, Isniya Bhandari, Jonisha D’Mello, Laveena Gautam, Binshika Gautam, Roshni Ghimire , Mayanath Karki, Pravesh Karki, Tej Bahadur Khadka, Nishan Khadka, Sajita Khadka, Sijan Koirala, Karan Kunwar, Sanjeev Lekhak, Meena Manandhar, Raju Bhai Manandhar, Rashil Neupane, Dasarath Pokharel, Ashika Poudel , Gehanath Poudel, Apekshya Poudel, Santosh Pun, Diparshan Rai, Mitma Rai, Nisha Reeya Agrawal Shrestha, Ishika Shrestha, Menuka Shrestha, Nayan Shrestha, Prabin Shrestha, Sajeeb Kumar Tamang, Anish Thapa, Dikshya