Towards Resolving Overlapped Distribution of Waqf Funds Through Artificial Intelligence: Focusing on Educational Waqf’s Beneficiaries

Authors

  • Habeebulah Olawale Alawiye International Islamic University
  • Imran Khan Keerio PhD Research Scholar, Kulliyyah of Information and Communication Technology (KICT), International Islamic University Malaysia (IIUM)

Keywords:

waqf distribution, cooperation, charity organisation, blockchain, machine learning systems, decision support systems

Abstract

This study investigates the potential of artificial intelligence in eliminating corruption in the waqf sector, specifically in terms of waqf fund distributions. The research method involves a review of studies on the need for the interrelationship of waqf institutions for fair distributions of waqf funds and the significance of Artificial Intelligence's role in contemporary management integrity. Interviews with self-sponsored international students at the International Islamic University of Malaysia were conducted to examine the causes and solutions of overlapped distribution of waqf funds. The findings suggest that overlapped distribution of waqf funds is often caused by multiple applications from many individuals, which cannot be stopped due to the applicant's uncertainty about his application outcome. The duty to resolve this issue should be on waqf institutions, which may be difficult without fintech. The study concludes that implementing AI in the waqf industry will increase efficiency and end the problem of overlapped distribution of waqf funds. However, improving the existing AI to accommodate waqf features is highly required by the stakeholders in the field of technology.

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Published

2023-12-31

How to Cite

Alawiye, H. O., & Imran Khan Keerio. (2023). Towards Resolving Overlapped Distribution of Waqf Funds Through Artificial Intelligence: Focusing on Educational Waqf’s Beneficiaries . Al-Kashaf, 3(3), 74–83. Retrieved from https://alkashaf.pk/index.php/Journal/article/view/56

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Section

English