The Impact of Artificial Intelligence on Compliance in Financial Institutions - A Bibliometric Analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23510%2F25%3A43978273" target="_blank" >RIV/49777513:23510/25:43978273 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.24132/jbt.2025.15.2.53_67" target="_blank" >https://doi.org/10.24132/jbt.2025.15.2.53_67</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.24132/jbt.2025.15.2.53_67" target="_blank" >10.24132/jbt.2025.15.2.53_67</a>

Result language

angličtina

Original language name

The Impact of Artificial Intelligence on Compliance in Financial Institutions - A Bibliometric Analysis

Original language description

Artificial intelligence has had a positive impact on the finance sector by increasing the efficiency and accuracy of functions that were previously manual, and also by providing customized services to clients. AI offers numerous possibilities for banks to improve operations and drive innovation. Earlier research shows that banks have already recognized the potential for cost reduction and the generation of new revenue streams through the improvement of their operational processes, for instance, in areas such as lending, security services, compliance, and improvements, as well as the introduction of new services and fraud detection. Furthermore, it has also offered various solutions and services to customers, including tailored investment plans, wealth management approaches, and robo-advisors. Today, AI is used to support decision-making, to monitor processes and assets in real-time, and to create value. The above picture will become even brighter in the future. As the nature of banking competition and technological disruption continues to progress at a rapid pace, leveraging AI to support decision-making is an opportunity to achieve a higher level of financial performance.Indeed, there are several reasons for conducting this research, such as the’ lack of trust among honorific individuals in AI systems’ functionalities and their demand for openness and responsibility from AI systems. Most articles in the past had a local view on the topic of compliance in the financial sector. As this topic is crucial, especially for international companies, I will close this gap by providing an international view on the overall topic and giving a future outlook. This research employs bibliometric analysis to investigate the role of AI in compliance within financial institutions and to map the knowledge landscape of the literature on AI. To conduct a detailed bibliometric analysis, two premier academic databases were selected: Scopus and the Scientific Citation Index (SCI/SSCI). These databases are renowned for their comprehensive international coverage and precise indexing of peer-reviewed publications.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

50204 - Business and management

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Trendy v podnikání

ISSN

2788-0079

e-ISSN

2788-0079

Volume of the periodical

15

Issue of the periodical within the volume

2

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

15

Pages from-to

53-67

UT code for WoS article

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EID of the result in the Scopus database

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