Proceedings of the 12th AIM-AMA Sheth Foundation Doctoral Consortium & International Marketing Conference 2025 (IMCDC 2025)

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AI-driven Financial Decision-Making: A Bibliometric Review

Authors
Aradhana Sorout1, *, Anil Anand Pathak2, N. P. Singh3
1School of Business Management and Commerce, MVN University, Palwal, Haryana, India
2Management Development Institute (MDI), Gurgaon, Haryana, India
3School of Business Management and Commerce, MVN University, Palwal, Haryana, India
*Corresponding author. Email: aradhana.sorout@mvn.edu.in Email: Aradhanasorout01@gmail.com
Corresponding Author
Aradhana Sorout
Available Online 10 March 2026.
DOI
10.2991/978-94-6239-608-1_3How to use a DOI?
Keywords
Artificial Intelligence (AI); Finance; Bibliometric
Abstract

Artificial Intelligence (AI) has emerged to be a significant contributor in the field of finance. From algorithmic trading and robo-advisory services to fraud detection, AI-driven technologies are changing how people make financial decisions. It leads to a paradigm shift in the financial decision making. The main objective of this study is to highlight the increased focus on AI-driven financial decision-making. A bibliometric analysis of published research over the last decade (2016-2025) was conducted. By using a systematic framework PRISMA, 1276 research articles were retrieved from the Scopus database. To identify the key trends, influential themes and evolving areas, various bibliometric techniques were used. Over the recent years, the role of AI in the domain of finance has drastically increased. Network mapping and co-citation analyses also revealed strong collaborations between technology and finance fields. Generative AI and sustainable finance were the emerging themes of research. While highlighting the growing importance of AI in finance, the study also provides future aspects of research.

Copyright
© 2026 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.

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Volume Title
Proceedings of the 12th AIM-AMA Sheth Foundation Doctoral Consortium & International Marketing Conference 2025 (IMCDC 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
10 March 2026
ISBN
978-94-6239-608-1
ISSN
2352-5428
DOI
10.2991/978-94-6239-608-1_3How to use a DOI?
Copyright
© 2026 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  - Aradhana Sorout
AU  - Anil Anand Pathak
AU  - N. P. Singh
PY  - 2026
DA  - 2026/03/10
TI  - AI-driven Financial Decision-Making: A Bibliometric Review
BT  - Proceedings of the 12th AIM-AMA Sheth Foundation Doctoral Consortium & International Marketing Conference 2025 (IMCDC 2025)
PB  - Atlantis Press
SP  - 20
EP  - 42
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-608-1_3
DO  - 10.2991/978-94-6239-608-1_3
ID  - Sorout2026
ER  -