Version 1
: Received: 27 November 2022 / Approved: 30 November 2022 / Online: 30 November 2022 (02:41:07 CET)
Version 2
: Received: 6 December 2022 / Approved: 6 December 2022 / Online: 6 December 2022 (06:43:09 CET)
How to cite:
Tayachi, T.; Brahimi, T.; Essafi, Y.; Ben Abdallah, R. Analysis and Visualization of Scientific Research on Islamic Banking and Artificial Intelligence. Preprints2022, 2022110554. https://doi.org/10.20944/preprints202211.0554.v2
Tayachi, T.; Brahimi, T.; Essafi, Y.; Ben Abdallah, R. Analysis and Visualization of Scientific Research on Islamic Banking and Artificial Intelligence. Preprints 2022, 2022110554. https://doi.org/10.20944/preprints202211.0554.v2
Tayachi, T.; Brahimi, T.; Essafi, Y.; Ben Abdallah, R. Analysis and Visualization of Scientific Research on Islamic Banking and Artificial Intelligence. Preprints2022, 2022110554. https://doi.org/10.20944/preprints202211.0554.v2
APA Style
Tayachi, T., Brahimi, T., Essafi, Y., & Ben Abdallah, R. (2022). Analysis and Visualization of Scientific Research on Islamic Banking and Artificial Intelligence. Preprints. https://doi.org/10.20944/preprints202211.0554.v2
Chicago/Turabian Style
Tayachi, T., Yasmine Essafi and Rabeb Ben Abdallah. 2022 "Analysis and Visualization of Scientific Research on Islamic Banking and Artificial Intelligence" Preprints. https://doi.org/10.20944/preprints202211.0554.v2
Abstract
Recent years have seen dramatic growth in the number of scholarly scientific works dedicated to the topic of Artificial Intelligence (AI), banking, and finance. With the development of scientometric tools, it is now possible to map, visualize, analyze, and assess scientific activities in many fields of engineering and social sciences including Islamic banking and finance. Based on data retrieved from the Scopus database and using a qualitative method, this study investigates, evaluates, and identifies significant development, trends, and players in the application of AI in Islamic banking and finance using the Visualization Of Similarities Method (VOS) between objects in VOSviewer. From 2006 to 2022, 387 documents were retrieved from the Scopus database; Results revealed that the top five most active countries in terms of publications are Malaysia (117 documents), Indonesia (89 documents), the United Kingdom (36 documents), the USA (24 documents), and Saudi Arabia and Bahrain (24 documents each). The International Islamic University Malaysia and Universitas Indonesia came out on top of active institutions while the top funding source came from the Ministry of Higher Education, Malaysia. The comprehensive findings and analysis reported in this study serve as a roadmap for future academics to create theory and practice for applying AI in Islamic banking and finance.
Keywords
Islamic Banks; Financial technology; Artificial Intelligence; Murabaha; Musharaka; Zakat; Qardh Al Hasan
Subject
Business, Economics and Management, Finance
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Commenter: Tahar Tayachi
Commenter's Conflict of Interests: Author