New but naughty. The evolution of misconduct in FinTech

IF 7.5 1区 经济学 Q1 BUSINESS, FINANCE
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引用次数: 0

Abstract

The financial sector has undergone a significant transformation with the advent of financial technology (FinTech), which has put pressure on the business models of incumbents and has raised several concerns, including some related to instances of misbehavior. This article examines the existing body of literature on misconduct in the FinTech industry, encompassing a range of unethical behaviors, the underlying causes that contribute to such activities, and viable strategies to alleviate associated concerns. We employ a bibliometric and scientometric analysis, as well as topic modeling, a machine learning approach applied to natural language. Through a comprehensive examination of academic output, we highlight noteworthy patterns and promising areas of study.

We also discuss the possible advantages and disadvantages linked to the integration of developing technologies such as artificial intelligence and machine learning in the realm of fraud prevention and detection.

新颖而顽皮。金融科技领域不当行为的演变
随着金融科技(FinTech)的出现,金融业经历了一场重大变革,这对现有企业的业务模式造成了压力,并引发了一些担忧,包括一些与不当行为有关的担忧。本文研究了有关金融科技行业不当行为的现有文献,包括一系列不道德行为、导致此类活动的根本原因以及缓解相关问题的可行策略。我们采用了文献计量学和科学计量学分析以及主题建模(一种应用于自然语言的机器学习方法)。通过对学术成果的全面考察,我们强调了值得注意的模式和有前景的研究领域。
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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来源期刊
CiteScore
10.30
自引率
9.80%
发文量
366
期刊介绍: The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.
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