The Research Landscape on Artificial Intelligence and Its Relationship With E-Recruitment

Systematic Literature Review and Future Research Agenda

Bibliographic Data

ID22197777
AuthorsAjay Nandakumar Mudliar (Chitkara University, corresponding author)
Year2023
Volume4
Issue2
Publication date2023-12-31
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueShodhKosh: Journal of Visual and Performing Arts (JOURNAL)
Journal identifiersISSN: 2582-7472 • E-ISSN: 2582-7472
PublisherGranthaalayah Publications and Printers (PUBLISHER • IN)
DOI10.29121/shodhkosh.v4.i2.2023.3964
OpenAlexW4406905337
LanguageEN
References cited6

Purpose – The objective of this study is to conduct a comprehensive analysis of the current body of existing literature on Artificial Intelligence and its relationship with recruitment. Additionally, this study identifies and emphasize the future research agenda and emerging trends within state-of-art. Design/methodology/approach ¬¬¬¬- A thorough investigation was conducted on a set of 84 publications sourced from the Scopus database spanning the years 2012 to 2023, utilizing the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) methodology. Findings – The findings of the study indicate a taxonomical impression of prevailing scientific research on role of Artificial Intelligence in facilitating E-recruitment. Originality/value - This study utilizes Systematic Literature Review to examine literature on aiming to develop a systematic comprehension of the research field of Artificial Intelligence. This study makes a valuable contribution to the current scholarly discourse and provides support for future scholars in their investigations

Data science · Management science · MEDLINE · Political science · Systematic review · AI and HR Technologies · Big Data and Business Intelligence · Computer Science · Employer Branding and e-HRM · Engineering

Tools

Open DOIOpen Access