Issue |
E3S Web Conf.
Volume 541, 2024
VI International Scientific Forum on Computer and Energy Sciences (WFCES 2024)
|
|
---|---|---|
Article Number | 02004 | |
Number of page(s) | 11 | |
Section | Energy: Production, Distribution, Storage | |
DOI | https://doi.org/10.1051/e3sconf/202454102004 | |
Published online | 18 June 2024 |
Harnessing artificial intelligence for human resources management: Tools, advantages, and risks in the energy sector
1 Department of Human Resources Management, Jadara University, Irbid, Jordan
2 Department of Business Intelligence, Jadara University, Irbid, Jordan
3 Department of business administration and accounting, Alburaimi University College, Alburaimi, Oman
4 Department of Management Information Systems, College of Business, Mutah University, Karak, Jordan
* Corresponding author: fawziehm@jadara.edu.jo
The main goal of the study is aimed at determining the features of the use of artificial intelligence in HR in the energy sector. The relevance and necessity of the study is due to the increasing intensity of the introduction of artificial intelligence in all sectors of the world economy, which necessitates the need to improve existing and search for new management approaches in companies in the energy sector. The introduction of artificial intelligence technologies into HR business processes is justified. Artificial intelligence tools in HR are considered, the advantages and disadvantages of each of them are highlighted. The focus is on artificial intelligence in HR processes of energy companies: personnel training and development. The ways of using artificial intelligence in HR and its impact on HR business processes and personnel efficiency are highlighted. The prospects for the development of HR systems, difficulties, dangers and risks of using artificial intelligence in HR business processes are covered. The results of the study can be used in practice when organizing a human resource management strategy for a company in the energy sector using trending artificial intelligence technologies and to ensure the efficiency of these business processes.
© 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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