Artificial Intelligence and Islamic Finance
Routledge (Verlag)
978-0-367-77487-5 (ISBN)
This book provides a systematic overview of the current trends in research relating to the use of artificial intelligence in Islamic financial institutions (IFIs), across all organization of Islamic cooperation (OIC) countries.
Artificial Intelligence and Islamic Finance discusses current and potential applications of artificial intelligence (AI) for risk management in Islamic finance. It covers various techniques of risk management, encompassing asset and liability management risk, credit, market, operational, liquidity risk, as well as regulatory and Shariah risk compliance within the financial industry. The authors highlight AI’s ability to combat financial crime such as monitoring trader recklessness, anti-fraud and anti-money laundering, and assert that the capacity of machine learning (ML) to examine large amounts of data allows for greater granular and profound analyses across a variety of Islamic financial products and services. The book concludes with practical limitations around data management policies, transparency, and lack of necessary skill sets within financial institutions. By adopting new methodological approaches steeped in an Islamic economic framework (e.g., analysing FinTech in the context of Shariah principles and Islamic values), it devises practical solutions and generates insightful knowledge, helping readers to understand and explore the role of technological enablers in the Islamic finance industry, such as RegTech and artificial intelligence, in providing better and Shariah-compliant services to customers through digital platforms.
The book will attract a wide readership spanning Shariah scholars, academicians, and researchers as well as Islamic financial practitioners and policy makers.
Adel M. Sarea is an associate professor of accounting and economics at Ahlia University, Kingdom of Bahrain. Ahmed H. Elsayed is an associate professor of financial economics at Durham University, UK. Saeed A. Bin-Nashwan is an assistant professor at Universiti Utara Malaysia, Malaysia.
1. Introduction: Artificial Intelligence and Islamic Finance Part I Artificial Intelligence and Governance 2. Understanding Governance Compliance for RegTech 3. Waqf Efficiency and Its Transformative Technology in Improving Waqf System in Malaysia 4. Islamic FinTech and Artificial Intelligent (AI) for Assessing Creditworthiness 5. Managing Islamic Financial Risks and New Technological Risks 6. Exploring the Relationship between Artificial Intelligence and Islamic Finance Part II Artificial Intelligence and Fintech 7. Islamic Financial Technology (Fintech) Applications in Indonesia 8. Artificial Intelligence (AI) in Islamic Finance and Banking: An International Evidence 9. Artificial intelligence, financial system, and Islamic finance: addressing issues prior to technology adoption 10. Applications of Financial Technology in Islamic Finance: A Systematic Bibliometric Review Part III Artificial Intelligence, Blockchain and IoT 11. Harnessing Blockchain for the Development of Islamic Social Finance: An Emphasis on Waqf 12. Artificial Intelligence, Financial Risk Management, and Islamic Finance 13. Rise of Islamic Robo Advisory in the 21st Century 14. Risk Mitigation for Cash Waqf collection using Financial Technology and Internet of Thing 15. Disrupting Islamic International Trade Finance Using the Blockchain Technology
| Erscheinungsdatum | 04.01.2022 |
|---|---|
| Reihe/Serie | Islamic Business and Finance Series |
| Zusatzinfo | 19 Tables, black and white; 5 Line drawings, black and white; 11 Halftones, black and white; 16 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 480 g |
| Themenwelt | Geisteswissenschaften ► Religion / Theologie |
| Sozialwissenschaften ► Soziologie ► Spezielle Soziologien | |
| Wirtschaft ► Betriebswirtschaft / Management ► Finanzierung | |
| Wirtschaft ► Volkswirtschaftslehre ► Makroökonomie | |
| ISBN-10 | 0-367-77487-9 / 0367774879 |
| ISBN-13 | 978-0-367-77487-5 / 9780367774875 |
| Zustand | Neuware |
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