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Machine learning-based P2P lending Islamic Fintech model for small and medium enterprises in Bahrain

Author

Listed:
  • Mustafa Raza Rabbani
  • Shahnawaz Khan
  • Mohammad Atif

Abstract

The study provides the current overview of P2P lending in Bahrain especially for the small and medium enterprises (SME) sector and proposes a machine learning-based Islamic Fintech model for P2P lending. The study also suggests how P2P lending platform (mainly a debt-based platform) can follow sharia principles and can satisfy the needs of customers who believe in lending/borrowing as per Islamic finance. The study proposes an Islamic Fintech model for person to business (P2P) lending suitable for the small and medium enterprises. It is high time that new methods of credit should be introduced and promoted to give a boost to the sector and save hundreds of thousands of jobs. Against such a backdrop, the present study identifies the gaps in lending system for the small and medium enterprises and proposes a machine learning-based Fintech model as per sharia compliance for attracting more lenders.

Suggested Citation

  • Mustafa Raza Rabbani & Shahnawaz Khan & Mohammad Atif, 2023. "Machine learning-based P2P lending Islamic Fintech model for small and medium enterprises in Bahrain," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 30(4), pages 565-579.
    • Handle: RePEc:ids:ijbire:v:30:y:2023:i:4:p:565-579
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    Cited by:

    1. Hanan Qudah & Sari Malahim & Rula Airout & Mohammad Alomari & Aiman Abu Hamour & Mohammad Alqudah, 2023. "Islamic Finance in the Era of Financial Technology: A Bibliometric Review of Future Trends," IJFS, MDPI, vol. 11(2), pages 1-29, June.

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