UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 11 Issue 4
April-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2404233


Registration ID:
536297

Page Number

c248-c268

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Title

Candidates Engagement In The Recruitment Process Using Artificial Intelligence

Abstract

In this study, we delve into the intriguing world of candidate engagement during the recruitment journey, particularly focusing on how artificial intelligence (AI) technologies are seamlessly integrated into this process. We embark on a thorough investigation of a myriad of AI tools employed in recruitment, spanning from friendly chatbots to sophisticated algorithmic matching systems. Our primary objective is to unravel the impact of these AI innovations on candidate engagement. Moreover, we adopt a survey-based methodology to glean insights from the perspectives of both candidates and seasoned recruitment professionals. Through this approach, we aim to decipher underlying patterns, discern preferences, and evaluate the efficacy of AI-driven engagement strategies. By harmonizing insights from theoretical exploration and real-world data, our study aspires to furnish a holistic understanding of AI's influence on candidate engagement in recruitment workflows. Ultimately, we endeavour to offer valuable insights and pragmatic recommendations to enhance recruitment practices in our contemporary landscape.

Key Words

Candidate engagement, Recruitment process, Artificial intelligence (AI), Chatbots, Algorithmic matching systems, Survey-based methodology, Efficacy.

Cite This Article

"Candidates Engagement In The Recruitment Process Using Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.c248-c268, April-2024, Available :http://www.jetir.org/papers/JETIR2404233.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Candidates Engagement In The Recruitment Process Using Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppc248-c268, April-2024, Available at : http://www.jetir.org/papers/JETIR2404233.pdf

Publication Details

Published Paper ID: JETIR2404233
Registration ID: 536297
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier):
Page No: c248-c268
Country: Phagwara , Punjab, India .
Area: Management
ISSN Number: 2349-5162
Publisher: IJ Publication


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