“Role Of Artificial Intelligence In Banking Sector: A Systematic Literature Review”

Abstract

The primary goal of the research is to integrate particular evidence about the general application of artificial intelligence in the banking industry through a structurally organized review. This well-organized overview focuses on artificial intelligence in the banking industry. There are numerous chances for banks to implement the aforementioned technology, which improves the calibre of services offered to the banks' diverse stakeholders. There are obstacles to overcome while implementing the aforementioned technology, such as banks' reluctance to make the decision to adopt it.  It can be divided into several sections: the first figure explains the research methodology and sample selection technique that was used; the first table covers the research work review by country; the second table covers publications by year; the third table covers citations by year; the fourth table covers citations by country; the fifth table covers the research methodology that was modified by earlier research works; the sixth table covers the number of publications based on the data collection method that was used; the seventh table focuses on the summary of review; the eighth table discusses opportunities; the ninth table focuses on challenges; the tenth table covers Applications; and the final table describes Artificial Intelligence Implementation in Banking Sector. The primary source of prior study on this subject is the Google Scholar databases. The aforementioned earlier studies were both exploratory and descriptive in nature. When the literature of the prior research works was finalized for review, 2,97,000 were found, of which 17,500 were from 2019 to 2023. Of these, 17449 were deemed irrelevant, and two articles lacked full text were among them. Ultimately, 47 research works were selected for this review article.