Role of Artificial Intelligence in the Transformation of HRM: A Bibliometric Analysis
Priya ()
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Priya: Assistant Professor, DOBA, University of Lucknow
A chapter in Proceedings of the International Conference on Digital Transformation in Business: Navigating the New Frontiers Beyond Boundaries (DTBNNF 2024), 2024, pp 493-508 from Springer
Abstract:
Abstract Technology has had an intense effect on the transformation of human resource management functions. It is not only in the HR department but also in finance, marketing, and production departments that technology has been immersed in. Artificial intelligence helps the organization work faster and more efficiently to compete at the global level. AI redefines and re-shapes HR practices like recruitment, selection, appraisal, work redesign, compensation, etc., which facilitates HR transformation. If companies perfectly blend HR functions and technology by re-transforming, their workplace understanding of AI applications will be a stepping-stone towards HR transformation. In the present study, an attempt is made to investigate the publications in the field of AI in HR transformation concerned with bibliometric analysis. The Scopus database is considered a literature database 192 documents from 2010 to 2024. The collected data analyses the collaborations between authors, universities, and countries in the field to identify the most influential authors, universities, countries, type of publication, subject area, the top country in publication, and keyword network. The result is insight into valuable information, and it is found from the analysis that the interest of researchers in the topic was at a peak in year 2023. The top research areas associated with AI and HR transformation include Computer Sciences, Social Sciences and Economics, Econometrics and Finance, Engineering, Business Management and Accounting contributed the most related publications. These findings can guide future researchers to set up a baseline before instigating the importance of AI in HR transformation.
Keywords: HRM; Artificial Intelligence; Natural Resource Management; Resource Allocation; HR Transformation (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-433-4_37
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DOI: 10.2991/978-94-6463-433-4_37
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