A study of the application and impact of AI on the traditional recruitment in the UAE
Nidhi Oswal,
Ayman Al Armoti and
Saju Mathew
International Journal of Business Performance Management, 2025, vol. 26, issue 5, 615-633
Abstract:
The purpose of this paper is to identify areas where artificial intelligence (AI) can be integrated with traditional recruitment. This study used a thematic literature review. The research was conducted on past publications related to AI in human resource management, particularly recruitment management, using Scimago Journal Rank validated journals. To investigate AI's impact on recruitment, ten semi-structured interviews were conducted via telephone or online. Results suggest that AI can be used to streamline and automate candidate screening and selection processes. In addition, AI can facilitate more objective decisions. The study also identified potential challenges to AI implementation in recruitment. Finally, this paper suggests strategies to improve recruitment including leveraging AI technologies to enable faster and more accurate decisions. It also focuses on creating a positive candidate experience.
Keywords: artificial intelligence; AI; human resource management; HRM; traditional recruitment process; AI in recruitment. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=148214 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbpma:v:26:y:2025:i:5:p:615-633
Access Statistics for this article
More articles in International Journal of Business Performance Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().