Bibliometric analysis of AI and Fintech: Mapping the intersection of artificial intelligence and financial technologies

Manish Kumar (), Babita Jha (), Gaurav Gupta and Shiv Ranjan ()
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Manish Kumar: School of Engineering and Technology, Faculty of Management Studies, Central University of Haryana, Mahendergarh, Haryana, India
Babita Jha: School of Business and Management, Christ (Deemed to be University), Delhi, NCR, India
Gaurav Gupta: Amity Business School, Amity University, Uttar Pradesh, Greater Noida Campus, India
Shiv Ranjan: Amity Business School, Amity University, Uttar Pradesh, Greater Noida Campus, India

International Journal of Financial Engineering (IJFE), 2024, vol. 11, issue 04, 1-21

Abstract: This paper presents a comprehensive bibliometric analysis aimed at mapping the convergent landscapes of artificial intelligence (AI) and financial technology (Fintech), fields poised for significant disruptive potential in global financial services. Given the rapid integration of AI within financial operations, this research investigates the publication trends, key contributing nations, and prevalent themes within this intersection, crucial for understanding the trajectory of Fintech innovations and their alignment with AI advancements. Employing a robust methodology utilizing VOSviewer and the Scopus database, the analysis distilled insights from 298 selected papers, focusing on co-authorship, bibliographic coupling, and keyword occurrences to highlight the global influential works and primary research hubs. Key findings reveal that AI and Fintech are not only predominant themes but are also the nucleus of emerging scholarly discussions, with the United States, China, and India leading in contributions. These nations, alongside others like France and the United Kingdom, form critical nodes in our analysis, indicating a robust interconnection of global research efforts. This study introduces the novel application of advanced bibliometric techniques to dissect dense academic outputs, offering a granular view of how AI influences financial technologies. The implications of this research are manifold; it provides a strategic blueprint for academics, industry practitioners, and policymakers to understand the focal areas of AI in Fintech, suggesting an amplified focus on collaborative innovations and policy-making that aligns with technological advancements. Future research should expand the analysis to include diverse databases and explore the integration of AI across various financial sectors, emphasizing the socioeconomic impacts, ethical considerations, and regulatory challenges posed by AI-driven financial services. This extended focus will enhance our understanding of AI’s role in shaping the future of Finance, ensuring comprehensive coverage of this dynamically evolving field.

Keywords: Fintech; AI; financial services; machine learning; finance; commerce (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S2424786324420088

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