International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 3 (May-June 2025) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 7 Issue 3
May-June 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Charting the nexus of AI And HRM: Insights from a bibliometric assessment

Author(s) Ms. Meenu Pachauri, Prof. Dr. Jamal A. Farooquie
Country India
Abstract It is an undeniable fact that artificial intelligence is widely used in human resource management. The primary aim of this research is to offer significant perspectives on the global environment and structure of publications about artificial intelligence (AI) in human resource management (HRM). A wealth of information was found by the researchers when they searched the reputable scientific database Scopus. Initially, the search parameters provide 1926 documents covering the years 2014–2024. 477 documents have been gathered for review, with the subject matter limited to accounting, management, and business. In addition to a bibliometric analysis of articles, journals, indexes, authors' affiliations, citations, keyword co-occurrences, and co-authorship analysis, our thorough synthesis of search results yielded strong results. These included the volume of publications, growth rate, and distribution of research across journals and institutions. All things considered, bibliometric analysis improves our comprehension of academic research, promotes teamwork, and directs future lines of inquiry. The VOS viewer program is used to analyze these documents. Our analysis supports earlier studies that recognize AI's potential to transform HR administration and the nature of work in the future. Our study adds crucial insights and suggestions for further research to the expanding corpus of knowledge on AI and HR management.
Keywords Human Resource Management, Personnel Management, Artificial Intelligence, Machine Intelligence
Field Business Administration
Published In Volume 7, Issue 3, May-June 2025
Published On 2025-06-11
DOI https://doi.org/10.36948/ijfmr.2025.v07i03.46659
Short DOI https://doi.org/g9pzww
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 7 Isu 3Cover Page Vol 7 Isu 2Cover Page Vol 7 Isu 1

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com