Issue |
ITM Web Conf.
Volume 68, 2024
2024 First International Conference on Artificial Intelligence: An Emerging Technology in Management (ICAETM 2024)
|
|
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Article Number | 01003 | |
Number of page(s) | 11 | |
Section | Engineering Technology & Management | |
DOI | https://doi.org/10.1051/itmconf/20246801003 | |
Published online | 12 December 2024 |
Role of artificial intelligence in human resource management for optimizing employee productivity
1 KLS, Gogte Institute of Technology, Dept of MBA, Belagavi, Karnataka India
2 KLS, Gogte Institute of Technology, Dept of MBA, Belagavi, Karnataka India
* Corresponding author: naveshne@git.edu
Artificial intelligence (AI) has significantly transformed various industries, including human resource management, by enhancing efficiency, decision-making, and employee productivity. Recruitments can be modernized by using catboats, predictive analysis helps in offering data-driven insights that can be used to find skill gaps and people management planning. AI’s advancements have made it easy to integrate AI with HRM for increasing efficiency, despite this a lot of ethical concerns, biases, and privacy issue makes it difficult to implement AI completely in the decision-making process. This paper is a bibliometric study focusing on the evolution of AI with HRM to enhance employee productivity and identify key trends and research gaps. This study considered publications for 10 years from 2014 to 2024 through various databases such as Scopus, Web of Science, and IEEE, the study further divides the literature to highlight the most cited authors, countries contributing to the field, and year-wise contribution. The paper focuses on studying the role of AI in various functional areas of HR such as recruitment, performance, and employee productivity. The findings highlight the increasing role of AI across multiple HR practices. This bibliometric investigation offers valuable findings for researchers and practitioners aiming to use AI to enhance HR jobs.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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