Exploring the Role and Application of Artificial Intelligence and Machine Learning in Digital Financial Inclusion: Identifying Key Themes and Trends Through Bibliometric Analysis in the Era of the Digital Revolution and Technological Advancement
Exploring the Role and Application of Artificial Intelligence and Machine Learning in Digital Financial Inclusion: Identifying Key Themes and Trends Through Bibliometric Analysis in the Era of the Digital Revolution and Technological Advancement |
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| © 2024 by IJETT Journal | ||
| Volume-72 Issue-7 |
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| Year of Publication : 2024 | ||
| Author : Ahmed Nur Dirie |
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| DOI : 10.14445/22315381/IJETT-V72I7P129 | ||
How to Cite?
Ahmed Nur Dirie, "Exploring the Role and Application of Artificial Intelligence and Machine Learning in Digital Financial Inclusion: Identifying Key Themes and Trends Through Bibliometric Analysis in the Era of the Digital Revolution and Technological Advancement," International Journal of Engineering Trends and Technology, vol. 72, no. 7, pp. 266-277, 2024. Crossref, https://doi.org/10.14445/22315381/IJETT-V72I7P129
Abstract
This paper aims to conduct a comprehensive bibliometric review of the research landscape concerning Artificial Intelligence (AI) and Machine Learning (ML) applications in the financial sector, focusing on digital financial inclusion. To achieve this, articles indexed in Elsevier’s Scopus database were chosen over those in Web of Science (WOS) and Google Scholar to identify key research clusters. During the review, 6,642 articles were screened, resulting in 3,097 articles meeting the inclusion criteria. The analysis reveals that the number of publications in this field has grown exponentially in recent years, with "digital banking services" emerging as the most relevant source. Additionally, the analysis underscores the need for enhanced international collaboration in AI research for financial inclusion. Through co-citation and co-word analysis, the study identifies prominent scholars and key concepts in the field, offering valuable insights for future research directions. While this study provides valuable insights, limitations such as database selection and sample size are acknowledged, paving the way for future research improvements in this domain.
Keywords
Digital finance, Financial inclusion, Artificial intelligence, Machine learning, Bibliometric analysis, Citation analysis.
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