Proceedings of the International Conference on Digital Transformation in Business: Navigating the New Frontiers Beyond Boundaries (DTBNNF 2024)

Role of Artificial Intelligence in the Transformation of HRM: A Bibliometric Analysis

Authors
Priya1, *
1Assistant Professor, DOBA, University of Lucknow, Lucknow, India
*Corresponding author. Email: priya_lumba@lkouniv.ac.in
Corresponding Author
Priya
Available Online 3 June 2024.
DOI
10.2991/978-94-6463-433-4_37How to use a DOI?
Keywords
HRM; Artificial Intelligence; Natural Resource Management; Resource Allocation; HR Transformation
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.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Digital Transformation in Business: Navigating the New Frontiers Beyond Boundaries (DTBNNF 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
3 June 2024
ISBN
978-94-6463-433-4
ISSN
2352-5428
DOI
10.2991/978-94-6463-433-4_37How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Priya
PY  - 2024
DA  - 2024/06/03
TI  - Role of Artificial Intelligence in the Transformation of HRM: A Bibliometric Analysis
BT  - Proceedings of the International Conference on Digital Transformation in Business: Navigating the New Frontiers Beyond Boundaries (DTBNNF 2024)
PB  - Atlantis Press
SP  - 493
EP  - 508
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-433-4_37
DO  - 10.2991/978-94-6463-433-4_37
ID  - 2024
ER  -