Coupling Artificial Intelligence With Fintech And Banks: A Bibliometric Analysis And Future Research Agenda

The study examines the coupling of artificial intelligence (AI) and machine learning (ML) with fintech and banks for the growth and resilience of the financial sector.This paper deciphers and maps the growth of the intellectual structure of research in the domain of AI and ML for strengthening the financial sector either through fintech or banks.This study ex amines the development of the literature on AI/ML in finance from 2012 to 2022 using 211 documents from the Scopus database with the goal of identifying key trends and patterns in terms of research focus, publication year, and geographic distribution.This study adds to our understanding of this field by highlighting the themes originating from these trends and patterns.By considering a wide range of subjects, including document types, annual publishing volumes, subject areas, affluent nations, institutions, journals, and authors, we have provided scientific evaluations and findings based on bibliometric analysis.We additionally looked at citation and co-citation networks to offer light on the connections between authors and publications to identify the challenges and growth prospects.We identified four key clusters through content analysis: applications of AI/ML in finance, digital banking, new-era technology in banks, and financial data analytics.In conclusion, this paper provided detailed discussions on the theoretical and practical implications of existing research and future research agenda.