EconPapers    
Economics at your fingertips  
 

Extrapolation of talent acquisition in AI aided professional environment

Rajashree Karbhari Gethe

International Journal of Business Innovation and Research, 2022, vol. 27, issue 4, 462-479

Abstract: Artificial intelligence (AI) works like a human brain and it helps in automating the recruitment system. In HR departments, AI is used in recruitment which smartly enables recruiters and it helps to screen the resume of candidates; to analyse speech patterns of candidates using natural language processing tools; conducting some skill tests in addition to video interview; conducting some advanced competency tests and neuroscience games in order to demonstrate a candidate's emotional and cognitive ability. AI is man-made software to make work easy and ongoing without any interruptions. AI replaces the repetitive, time consuming work of sourcing and screening candidates also it improves the candidate's experience and the company's productivity by lowering the cost of recruitment. A major objective of this paper is to study AI's effects on the recruitment and talent acquisition process. This study highlights some AI techniques that companies are using for recruitment. The study is based on the use of secondary sources of information.

Keywords: artificial intelligence; talent acquisition process; human resources. (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=122510 (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:ijbire:v:27:y:2022:i:4:p:462-479

Access Statistics for this article

More articles in International Journal of Business Innovation and Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijbire:v:27:y:2022:i:4:p:462-479