A STUDY ON THE ROLE AND IMPACT OF ARTIFICIAL INTELLIGENCE IN RECRUITMENT PROCESSES: THE PERSPECTIVE OF HR PROFESSIONALS

S Krishnan, Arundathi, K L, Satheeshkumar Rangasamy and Sushma Rawath
Additional contact information
S Krishnan: GAT - Global Academy of Technology, Bengaluru
Arundathi, K L: KSSEM - K S School of Engineering and Management, Bengaluru
Satheeshkumar Rangasamy: SEI - Surana College, Kengeri Campus, Bengaluru
Sushma Rawath: Global Institute of Management and Sciences

Post-Print from HAL

Abstract: One of the best-known trends in the human resource sector is the application of artificial intelligence, as it is changing the ways things are being done. The one obstacle faced by organizations presently is in finding the best-fit candidate. Another key priority for organizations is to balance the speed, quality, and costs incurred during the hiring process. It is seen that only 14 percent of organizations are having the proper talent acquisition technology which can give them powerful insights. Artificial intelligence helps to evaluate, process, and produce the data in a way that is completely intelligible by the HR managers. This study attempted to understand the role and importance of artificial intelligence technologies in the HR function and recruitment process. The data collected and analysed refers to the various factors such as the importance of artificial intelligence in recruitment, how it is applied presently in recruitment and the significance of it in different stages of recruitment, the different barriers of artificial intelligence, and the perception towards it across various demographic profiles.

Keywords: Artificial Intelligence; Technology; Human Resources; Recruitment (search for similar items in EconPapers)
Date: 2023
Note: View the original document on HAL open archive server: https://hal.science/hal-04850865v1
References: View references in EconPapers View complete reference list from CitEc
Citations:

Published in Seybold Report, 2023, 18 (5), pp.236-248

Downloads: (external link)
https://hal.science/hal-04850865v1/document (application/pdf)

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:hal:journl:hal-04850865

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().