Applications of artificial intelligence and machine learning in the financial services industry: A bibliometric review.

This bibliometric review examines the research state of artificial intelligence (AI) and machine learning (ML) applications in the Banking, Financial Services, and Insurance (BFSI) sector. The study focuses on Scopus-indexed articles to identify key research clusters. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, 39,498 articles were screened, resulting in 1045 articles meeting the inclusion criteria. N-gram analysis identified 177 unique terms in the article titles and abstracts. Co-occurrence analysis revealed nine distinct clusters covering fintech, risk management, anti-money laundering, and actuarial science, among others. These clusters offer a comprehensive overview of the multifaceted research landscape. The identified clusters can guide future research and inform study design. Policymakers, researchers, and practitioners in the BFSI sector can benefit from the study's findings, which identify research gaps and opportunities. This study contributes to the growing literature on bibliometrics, providing insights into AI and ML applications in the BFSI sector. The findings have practical implications, advancing our understanding of AI and ML's role in benefiting academia and industry.

Trade credit research before and after the global financial crisis of 2008 - A bibliometric overview.

This study presents an overview of the state-of-the-art in trade credit research by examining 1191 publications between 1955 and 2019. Applying bibliometrics and econometrics, the study compares the extant research across the three sub-domains of banking and finance, production and operations, and accounting. Findings suggest that the financial emergency in the global market had resulted in a watershed moment in trade credit research. About 69 % of the literature was found to have emerged after the global economic crisis of 2008. A network analysis grouped the trade credit articles into four major and four minor clusters. The banking and financing cluster exhibited the highest growth followed by the production and operation cluster while the perspectives of accounting are yet to gain traction. Conversely, reputation of the publishing hub, empirical studies, and the production and operational dimensions of the research positively and significantly influence citations. Alongside a thorough introspection, the study also provides new areas to direct the course of future research.