AN OVERVIEW OVER THE IMPACT OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE BANKING INDUSTRY – A BIBLIOMETRIC ANALYSIS
The banking industry is experiencing a significantly transformation fueled by the adoption of artificial intelligence (AI) technologies, which are reshaping essential operations, improving service quality and encouraging innovation across the sector. This paper conducts a bibliometric analysis t...
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| Format: | Article |
| Language: | English |
| Published: |
Academica Brâncuşi
2024-12-01
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| Series: | Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie |
| Subjects: | |
| Online Access: | https://www.utgjiu.ro/revista/ec/pdf/2024-06/24_Carbune.pdf |
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| Summary: | The banking industry is experiencing a significantly transformation fueled by the adoption of artificial
intelligence (AI) technologies, which are reshaping essential operations, improving service quality and encouraging
innovation across the sector. This paper conducts a bibliometric analysis to assess the impact of artificial intelligence
technologies within financial institutions, applying VOSviewer software to identify and visualize the trends and
patterns in the academic literature extracted from the Web of Science database. Present study highlights the
development of research themes, key collaboration networks and finds out the interconnections through various AI
applications within the baking sector. The findings of the study underscore the fact that artificial intelligence plays as a
protagonist in increasing operational efficiency, enhancing customer experiences and streamlining decision-making
workflows. By highlighting the current applications of artificial intelligence and identifying areas where it has
demonstrated its effectiveness, this information significantly contributes to a deeper and more comprehensive
understanding of the role of AI in reshaping banking processes and services. At the same time, the research article
offers promising directions for future research, such as exploring the ethical implications of AI, addressing possible
biases in algorithmic models and investigating ways to optimally integrate with existing systems. Advancing research
in these directions will be essential for fully exploiting the potential of AI and managing the challenges inherent in its
adoption, thus contributing to a continuous, responsible and sustainable innovation of the banking industry in the face
of technological change. |
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| ISSN: | 1844-7007 2344-3685 |