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

Turk Turizm Arastirmalari Dergisi Pub Date : 2023-12-28 DOI:10.26677/tr1010.2023.1349

M. A. Chowdhury, Mohammad Sahabuddin, Mahabub Ullah Miyan, Md. Sozon, Md. Titu Miah

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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.

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评估传统银行业采用金融科技的演变：使用 R 的文献计量分析

目的是寻找银行机构在人工智能、机器学习、区块链和大数据领域应用金融科技（Fintech）的科研出版物。方法包括对银行机构应用金融科技的科研文献进行文献计量分析。本研究的数据包括使用 RStudio 编程从 Scopus 数据库中获取的 2016-2022 年的相关文章。结果显示，2019 年后，金融科技领域的科学出版物显著增加，主要集中在众筹、数字金融、支付系统等领域。中国和美国是金融科技应用研究的两大中心。有影响力的研究是关于金融科技和银行的，作者和科研分布都来自中国和美国。中国和美国的引用率和作者影响力非常高。原创性 -本研究为2016年至2022年使用R-Studio程序对银行中与人工智能、机器学习、区块链和大数据相关的金融科技应用进行文献计量分析的文献做出了贡献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Turk Turizm Arastirmalari Dergisi

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