UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 5 | May 2024

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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:
JETIR2404596


Registration ID:
536934

Page Number

f866-f886

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Title

A systematic Literature review on the Impact of AI Integration on Talent Acquisition Effectiveness: A Multidimensional Analysis

Abstract

Human resource management (HRM) may face both possibilities and problems from artificial intelligence (AI). Despite the fact that studies on the influence of AI integration on the efficacy of talent acquisition have been conducted in recent decades, this study has not been thoroughly summarised in the literature. Such a review is required in order to: (a) direct future investigations to evaluate the effects of AI integration on the efficacy of talent acquisition; and (b) assist managers in utilising artificial intelligence technology in the most efficient manner. This is a systematic review that looks at the connection between AI and the efficiency of talent acquisition. After conducting a thorough systematic assessment and analysis of the body of literature, we analyse and evaluate 23 publications that were published during a seven-year period (2018–2024) in 23 prestigious international journals. The influence of AI integration on the efficacy of talent acquisition is examined in our review. At multiple levels of study, the "antecedents, phenomena, outcome" process framework is used. We examine a few chosen articles based on their publishing history, theoretical frameworks, methodology, and the essential themes of "antecedents, phenomena, outcome." By contributing our perspective to the HR literature and offering themes based on alternate units of analysis and theories at the individual, group, and institutional levels, we offer helpful paths for future research.

Key Words

Artificial intelligence (AI), talent acquisition, recruitment, human resource management, multidimensional analysis, AI integration, talent acquisition effectiveness.

Cite This Article

"A systematic Literature review on the Impact of AI Integration on Talent Acquisition Effectiveness: A Multidimensional Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.f866-f886, April-2024, Available :http://www.jetir.org/papers/JETIR2404596.pdf

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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

"A systematic Literature review on the Impact of AI Integration on Talent Acquisition Effectiveness: A Multidimensional Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppf866-f886, April-2024, Available at : http://www.jetir.org/papers/JETIR2404596.pdf

Publication Details

Published Paper ID: JETIR2404596
Registration ID: 536934
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier):
Page No: f866-f886
Country: Gorakhpur, Uttar pradesh, India .
Area: Management
ISSN Number: 2349-5162
Publisher: IJ Publication


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