AI-driven Financial Decision-Making: A Bibliometric Review

Aradhana Sorout (), Anil Anand Pathak and N. P. Singh
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Aradhana Sorout: MVN University, School of Business Management and Commerce
Anil Anand Pathak: Management Development Institute (MDI)
N. P. Singh: MVN University, School of Business Management and Commerce

A chapter in Proceedings of the 12th AIM-AMA Sheth Foundation Doctoral Consortium & International Marketing Conference 2025 (IMCDC 2025), 2026, pp 20-42 from Springer

Abstract: 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.

Keywords: Artificial Intelligence (AI); Finance; Bibliometric (search for similar items in EconPapers)
Date: 2026
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DOI: 10.2991/978-94-6239-608-1_3

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