监管技术-现代信息技术在监管事务中的应用:研究和实践的兴趣领域

Q1 Economics, Econometrics and Finance Intelligent Systems in Accounting, Finance and Management Pub Date : 2020-06-18 DOI:10.1002/isaf.1479

Michael Becker, Kevin Merz, Rüdiger Buchkremer

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引用次数: 13

摘要

我们提供了关于监管技术(RegTech)的科学文章中讨论的主题的高级视图，特别关注所使用的技术。为此，我们首先探索RegTech的不同名称，并派生搜索查询以搜索相关文献门户。从信息检索过程的点击中，我们选择了55篇文章，概述了信息技术在监管事务中的应用，重点是金融部门。作为比较，我们考察了347家RegTech公司的技术范围，并将我们的发现与科学文献进行了比较。我们的研究表明，“合规管理”是实践中最相关的主题，而“风险管理”是研究的主要主题。到目前为止，最重要的技术是“人工智能”和分布式账本技术，如“区块链”。

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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RegTech—the application of modern information technology in regulatory affairs: areas of interest in research and practice

We provide a high-level view on topics addressed in scientific articles about regulatory technology (RegTech), with a particular focus on technologies used. For this purpose, we first explore different denominations for RegTech and derive search queries to search relevant literature portals. From the hits of that information retrieval process, we select 55 articles outlining the application of information technology in regulatory affairs with an emphasis on the financial sector. In comparison, we examine the technological scope of 347 RegTech companies and compare our findings with the scientific literature. Our research reveals that ‘compliance management’ is the most relevant topic in practice, and ‘risk management’ is the primary subject in research. The most significant technologies as of today are ‘artificial intelligence’ and distributed ledger technologies such as ‘blockchain’.

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来源期刊

Intelligent Systems in Accounting, Finance and Management Economics, Econometrics and Finance-Finance

CiteScore

6.00

自引率

0.00%

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期刊介绍： Intelligent Systems in Accounting, Finance and Management is a quarterly international journal which publishes original, high quality material dealing with all aspects of intelligent systems as they relate to the fields of accounting, economics, finance, marketing and management. In addition, the journal also is concerned with related emerging technologies, including big data, business intelligence, social media and other technologies. It encourages the development of novel technologies, and the embedding of new and existing technologies into applications of real, practical value. Therefore, implementation issues are of as much concern as development issues. The journal is designed to appeal to academics in the intelligent systems, emerging technologies and business fields, as well as to advanced practitioners who wish to improve the effectiveness, efficiency, or economy of their working practices. A special feature of the journal is the use of two groups of reviewers, those who specialize in intelligent systems work, and also those who specialize in applications areas. Reviewers are asked to address issues of originality and actual or potential impact on research, teaching, or practice in the accounting, finance, or management fields. Authors working on conceptual developments or on laboratory-based explorations of data sets therefore need to address the issue of potential impact at some level in submissions to the journal.