Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)

<Previous Article In Volume
Next Article In Volume>

AI-Driven Innovations in Management Education: A Bibliometric Analysis of Research Patterns in Undergraduate Teaching and Learning

Authors
Amol S. Dhaigude1, *, Kapil Laxman Khandeparkar1
1S. P. Jain Institute of Management and Research (SPJIMR), Mumbai, 400058, India
*Corresponding author. Email: amol.dhaigude@spjimr.org
Corresponding Author
Amol S. Dhaigude
Available Online 31 December 2025.
DOI
10.2991/978-94-6463-978-0_32How to use a DOI?
Keywords
Artificial intelligence; Management education; Undergraduate students; Bibliometric analysis; Educational technology
Abstract

This study provides a concise bibliometric analysis of 1,785 Scopus-indexed publications (2023 onwards) exploring the convergence of artificial intelligence and undergraduate management education. Employing Boolean queries across 23 AI and 21 education terms, the dataset was filtered for English-language journal articles and conference papers. Biblioshiny and VOSviewer analyses encompassing cluster mapping, co-occurrence networks, and temporal trends identified three major research clusters: (1) AI-Enhanced Pedagogical Innovation and Educational Leadership, (2) Machine Learning Applications and Technical Innovation in Business Analytics, and (3) Generative AI Integration and Human-AI Collaborative Learning. Findings reveal rapid growth in scholarly output, leading contributions from the United States, China, and Europe, and emerging research gaps in ethical AI adoption, cross-cultural pedagogy, and long-term curriculum impact.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)
Series
Advances in Engineering Research
Publication Date
31 December 2025
ISBN
978-94-6463-978-0
ISSN
2352-5401
DOI
10.2991/978-94-6463-978-0_32How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Amol S. Dhaigude
AU  - Kapil Laxman Khandeparkar
PY  - 2025
DA  - 2025/12/31
TI  - AI-Driven Innovations in Management Education: A Bibliometric Analysis of Research Patterns in Undergraduate Teaching and Learning
BT  - Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)
PB  - Atlantis Press
SP  - 369
EP  - 383
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-978-0_32
DO  - 10.2991/978-94-6463-978-0_32
ID  - Dhaigude2025
ER  -