| Issue |
ITM Web Conf.
Volume 68, 2024
2024 First International Conference on Artificial Intelligence: An Emerging Technology in Management (ICAETM 2024)
|
|
|---|---|---|
| Article Number | 01025 | |
| Number of page(s) | 14 | |
| Section | Engineering Technology & Management | |
| DOI | https://doi.org/10.1051/itmconf/20246801025 | |
| Published online | 12 December 2024 | |
Implementation of artificial intelligence in human resource management practices
1 Department of English, KLEF Deemed to be University, Vaddeswaram 522 302, Andhra Pradesh, India
2 Department of Computer Science, Sri Vasavi College (Self-Finance Wing), Erode 638 316, Tamil Nadu, India
3 Department of Computer Applications, St. Xavier’s College, Palayamkottai 627 002, Tamil Nadu, India
4 Department of English, KLEF Deemed to be University, Vaddeswaram 522 302, Andhra Pradesh, India
5 Department of Economics, St Aloysius College, Thrissur 680 611, Kerala, India
6 Department of Electronics and Communication Engineering, Nandha Engineering College, Perundurai 638 052, Tamil Nadu, India
7 Department of Mechanical Engineering, Nandha College of Technology, Perundurai 638 052, Tamil Nadu, India
* Corresponding author: dr.r.girimurugan@gmail.com
Analyzing how AI will change HRM strategies is the focus of this research. We may achieve our goals by concentrating on the following: precision, automation, processing capacity and power, real-time experience, customization, and saving time and money. The possible advantages of AI adoption are the target of the study. A well-structured online survey is utilized to gather data from 300 IT employees in the city of Coimbatore. The study presents a new research framework that makes use of AMOS version 21 and IBM SPSS version 21 for analysis. The outcomes show that factors like Personalization, Computing Power and Capacity, and Accuracy have a substantial impact on Time-Saving and Cost Reduction, however factors like Real-Time Experience and Automation do not. This unique addition of the study’s is to investigate the concrete results of implementing artificial intelligence technologies into human resource management procedures. The study delves deeply into the expected results and interrelationships of artificial intelligence implementation in human resource management by concentrating on critical variables including Computing Power & Capacity, Precision, Real-time experience, Time-Saving and Cost Saving, Automation, and Personalization.
Key words: Artificial intelligence / Accuracy / HRM / Automation / Personalization / Real-time experience
© 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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