Title: A study of the application and impact of AI on the traditional recruitment in the UAE

Authors: Nidhi Oswal; Ayman Al Armoti; Saju Mathew

Addresses: Liwa College (LC), Saeed Bin Ahmed Al Otaiba Street (previously Al Najda Street), Al Danah Area, Baniyas Tower B, Abu Dhabi, United Arab Emirates ' Liwa College (LC), Saeed Bin Ahmed Al Otaiba Street (previously Al Najda Street), Al Danah Area, Baniyas Tower B, Abu Dhabi, United Arab Emirates ' SNMV College, Shri Gambhirmal Bafna Nagar, Maluma Champatti, Coimbatore-641050, Tamil Nadu, India

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.

DOI: 10.1504/IJBPM.2025.148214

International Journal of Business Performance Management, 2025 Vol.26 No.5, pp.615 - 633

Received: 20 Aug 2023
Accepted: 27 Nov 2023
Published online: 01 Sep 2025 *

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