Assessing The Evolutionof Fintech Adoption In Traditional Banking: A Bibliometric Analysis Using R

Abstract

The purpose to find scientific research publications of Fintech(financial technology)applications in banking institutions in the areas of artificial intelligence, machine learning, blockchain, and big data.The methodology includes bibliometric analysis in the scientific literature of Fintech application in banking institutions. The data of this study comprises relevant articles obtained from the Scopus database from 2016-2022 using the RStudio programming.Results show the remarkable rise of scientific publications in Fintech after 2019, mainly in the fields of crowdfunding, digital finance, payment system. The two main centers of Fintech application research are China and the US. The influential studies are on Fintech and banks, authors and the distributions of scientific research are from China and the US. Citations and author’s impact are very high in China and the US. Originality –The study contributes to the literature of bibliometric analysis of Fintech applications using the R-Studio program from 2016 to 2022 in banks related to artificial intelligence, machine learning, blockchain, and big data.The purpose to find scientific research publications of Fintech(financial technology)applications in banking institutions in the areas of artificial intelligence, machine learning, blockchain, and big data.The methodology includes bibliometric analysis in the scientific literature of Fintech application in banking institutions. The data of this study comprises relevant articles obtained from the Scopus database from 2016-2022 using the RStudio programming.Results show the remarkable rise of scientific publications in Fintech after 2019, mainly in the fields of crowdfunding, digital finance, payment system. The two main centers of Fintech application research are China and the US. The influential studies are on Fintech and banks, authors and the distributions of scientific research are from China and the US. Citations and author’s impact are very high in China and the US. Originality –The study contributes to the literature of bibliometric analysis of Fintech applications using the R-Studio program from 2016 to 2022 in banks related to artificial intelligence, machine learning, blockchain, and big data.