New Age Recruitment Process - The AI Way
Authors: G Anil Chandra Prasad
DOI: https://doi.org/10.37082/IJIRMPS.2021.v09si05.001
Short DOI: https://doi.org/10/gnddsg
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Abstract:
Recruitment no doubt is the most challenging job for an HR professional, getting a Right Resource, in a Right Time, for a Right Position at a Right Cost is a perennially cumbersome assignment, it is beyond identifying the right candidate, stimulating him to apply for the position in an organization. The toughest part of recruiting involves picking up the most suitable profile from huge pool of profiles, any small deviation in finding a right match not only reduces productivity but also brings down the team morale.
Picking the right profile rationally and within condensed time frames not only saves time but also reduces cost of recruitment, also scientific approach provides prolific results but this should not be mistaken with Taylorism and earlier Information Technology Tools and Portals. Artificial Intelligence (AI) is the novel means of recruitment which is serving as an efficient tool for screening profiles and enabling the recruiters to find the match with their respective job descriptions.
Yesteryears recruiters largely relied on several traditional sources, in the process they have generated data bank of applications, manually sifting through it is next to impossible. Now comes the role of AI, which not only sifts the data but also analyses the same to identify the right match to the Job Descriptions they are looking for.
Thus AI tools have become essential prerequisites in enhancing recruitment efforts, this paper outlines the role of AI in leveraging recruitment process, and enlightens its significance in enhancing the efficiency of HR professionals in getting a right resource.
Keywords: Recruitment, Artificial Intelligence, Screening
Paper Id: 2.20
Published On: 2021-09-10
Cite This: New Age Recruitment Process - The AI Way - G Anil Chandra Prasad - IJIRMPS Special Issue - Rishi's Online National Conference on "Management Perspectives for Quality Outlook in the Post COVID Era" (RONC-MPQOPCE) (September 2021). DOI 10.37082/IJIRMPS.2021.v09si05.001