AI in Islamic finance: Global trends, ethical implications, and bibliometric insights
Purpose – This study explores the integration of Artificial Intelligence (AI) in Islamic finance, analyzing global trends, ethical implications, and future research directions. The purpose is to assess AI’s role in enhancing Sharia compliance, regulatory adherence, and operational efficiency in Isl...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Islam Indonesia
2025-03-01
|
| Series: | Review of Islamic Social Finance and Entrepreneurship |
| Subjects: | |
| Online Access: | https://journal.uii.ac.id/RISFE/article/view/36949 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850227679197921280 |
|---|---|
| author | Muhammad Saeed Iqbal Fifi Anti Mapika Sari Binti Sukamto Siti Noraisyah Binti Norizan Shanayyara Mahmood Arooj Fatima Faiza Hashmi |
| author_facet | Muhammad Saeed Iqbal Fifi Anti Mapika Sari Binti Sukamto Siti Noraisyah Binti Norizan Shanayyara Mahmood Arooj Fatima Faiza Hashmi |
| author_sort | Muhammad Saeed Iqbal |
| collection | DOAJ |
| description |
Purpose – This study explores the integration of Artificial Intelligence (AI) in Islamic finance, analyzing global trends, ethical implications, and future research directions. The purpose is to assess AI’s role in enhancing Sharia compliance, regulatory adherence, and operational efficiency in Islamic financial institutions.
Methodology – Using a bibliometric analysis approach, this research examines publications from 2010 to 2023 indexed in Scopus and Web of Science. Keywords such as Islamic finance, "artificial intelligence, AI in finance, Sharia compliance, and globalization guided the search. Analytical tools, including VOSviewer and CiteSpace, were employed to visualize publication trends, citation networks, and influential research contributions from key countries like Pakistan, Malaysia, Turkey, Saudi Arabia, Indonesia, Qatar, Iran, and the UAE.
Findings – The research indicate that AI significantly enhances financial inclusion, risk assessment, compliance automation, and customer service in Islamic finance. Key research areas highlight AI-driven solutions for Sharia-compliant financial products, ethical considerations, and regulatory frameworks. However, limitations exist, as this study focuses only on English-language publications, potentially omitting critical insights from non-English sources.
Implications – This research contributes to the understanding of AI's role in Islamic finance, offering practical implications for financial institutions seeking to integrate AI for efficiency, transparency, and compliance.
Originality – It provides an original bibliometric perspective on AI applications in Islamic finance, underscoring the sector’s potential for innovation and sustainable growth in a globalized financial landscape.
|
| format | Article |
| id | doaj-art-dbab277fe8214db180499df970b196cd |
| institution | OA Journals |
| issn | 2963-847X |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Universitas Islam Indonesia |
| record_format | Article |
| series | Review of Islamic Social Finance and Entrepreneurship |
| spelling | doaj-art-dbab277fe8214db180499df970b196cd2025-08-20T02:04:44ZengUniversitas Islam IndonesiaReview of Islamic Social Finance and Entrepreneurship2963-847X2025-03-014110.20885/RISFE.vol4.iss1.art6AI in Islamic finance: Global trends, ethical implications, and bibliometric insightsMuhammad Saeed Iqbal0Fifi Anti Mapika Sari Binti Sukamto1Siti Noraisyah Binti Norizan2Shanayyara Mahmood3Arooj Fatima4Faiza Hashmi5Islamic Business School, College of Business, Universiti Utara Malaysia, Kedah, MalaysiaIslamic Business School, College of Business, Universiti Utara Malaysia, Kedah, MalaysiaIslamic Business School, College of Business, Universiti Utara Malaysia, Kedah, MalaysiaDepartment of Management Sciences, Islamia University of Bahawalpur, Bahawalpur, PakistanDepartment of Management Sciences, Islamia University of Bahawalpur, Bahawalpur, PakistanDepartment of Management Sciences, Islamia University of Bahawalpur, Bahawalpur, Pakistan Purpose – This study explores the integration of Artificial Intelligence (AI) in Islamic finance, analyzing global trends, ethical implications, and future research directions. The purpose is to assess AI’s role in enhancing Sharia compliance, regulatory adherence, and operational efficiency in Islamic financial institutions. Methodology – Using a bibliometric analysis approach, this research examines publications from 2010 to 2023 indexed in Scopus and Web of Science. Keywords such as Islamic finance, "artificial intelligence, AI in finance, Sharia compliance, and globalization guided the search. Analytical tools, including VOSviewer and CiteSpace, were employed to visualize publication trends, citation networks, and influential research contributions from key countries like Pakistan, Malaysia, Turkey, Saudi Arabia, Indonesia, Qatar, Iran, and the UAE. Findings – The research indicate that AI significantly enhances financial inclusion, risk assessment, compliance automation, and customer service in Islamic finance. Key research areas highlight AI-driven solutions for Sharia-compliant financial products, ethical considerations, and regulatory frameworks. However, limitations exist, as this study focuses only on English-language publications, potentially omitting critical insights from non-English sources. Implications – This research contributes to the understanding of AI's role in Islamic finance, offering practical implications for financial institutions seeking to integrate AI for efficiency, transparency, and compliance. Originality – It provides an original bibliometric perspective on AI applications in Islamic finance, underscoring the sector’s potential for innovation and sustainable growth in a globalized financial landscape. https://journal.uii.ac.id/RISFE/article/view/36949islamic financeArtificial intelligenceShari’ah complianceAI in bankingfinancial technology |
| spellingShingle | Muhammad Saeed Iqbal Fifi Anti Mapika Sari Binti Sukamto Siti Noraisyah Binti Norizan Shanayyara Mahmood Arooj Fatima Faiza Hashmi AI in Islamic finance: Global trends, ethical implications, and bibliometric insights Review of Islamic Social Finance and Entrepreneurship islamic finance Artificial intelligence Shari’ah compliance AI in banking financial technology |
| title | AI in Islamic finance: Global trends, ethical implications, and bibliometric insights |
| title_full | AI in Islamic finance: Global trends, ethical implications, and bibliometric insights |
| title_fullStr | AI in Islamic finance: Global trends, ethical implications, and bibliometric insights |
| title_full_unstemmed | AI in Islamic finance: Global trends, ethical implications, and bibliometric insights |
| title_short | AI in Islamic finance: Global trends, ethical implications, and bibliometric insights |
| title_sort | ai in islamic finance global trends ethical implications and bibliometric insights |
| topic | islamic finance Artificial intelligence Shari’ah compliance AI in banking financial technology |
| url | https://journal.uii.ac.id/RISFE/article/view/36949 |
| work_keys_str_mv | AT muhammadsaeediqbal aiinislamicfinanceglobaltrendsethicalimplicationsandbibliometricinsights AT fifiantimapikasaribintisukamto aiinislamicfinanceglobaltrendsethicalimplicationsandbibliometricinsights AT sitinoraisyahbintinorizan aiinislamicfinanceglobaltrendsethicalimplicationsandbibliometricinsights AT shanayyaramahmood aiinislamicfinanceglobaltrendsethicalimplicationsandbibliometricinsights AT aroojfatima aiinislamicfinanceglobaltrendsethicalimplicationsandbibliometricinsights AT faizahashmi aiinislamicfinanceglobaltrendsethicalimplicationsandbibliometricinsights |