{"title":"新颖而顽皮。金融科技领域不当行为的演变","authors":"","doi":"10.1016/j.irfa.2024.103489","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p><p>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.</p></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":null,"pages":null},"PeriodicalIF":7.5000,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1057521924004216/pdfft?md5=dfdc232d4a1e8bbf19fe90a80f6f6aa9&pid=1-s2.0-S1057521924004216-main.pdf","citationCount":"0","resultStr":"{\"title\":\"New but naughty. The evolution of misconduct in FinTech\",\"authors\":\"\",\"doi\":\"10.1016/j.irfa.2024.103489\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p><p>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.</p></div>\",\"PeriodicalId\":48226,\"journal\":{\"name\":\"International Review of Financial Analysis\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":7.5000,\"publicationDate\":\"2024-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1057521924004216/pdfft?md5=dfdc232d4a1e8bbf19fe90a80f6f6aa9&pid=1-s2.0-S1057521924004216-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Review of Financial Analysis\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1057521924004216\",\"RegionNum\":1,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Financial Analysis","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1057521924004216","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
New but naughty. The evolution of misconduct in FinTech
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.
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.