UmarM_AI-IslamicBanking_Version2.pdf

Islamic banking, grounded in Shariah principles, is emerging as a sustainable and ethical alternative to conventional interest-based banking. With the rapid advancement of artificial intelligence (AI), financial institutions have new opportunities to innovate business models, enhance operational efficiency, and strengthen customer trust. This study develops a conceptual framework that integrates AI applications into Islamic banking operations, focusing on value creation, delivery, and capture in line with ethical finance. By comparing Islamic and conventional banking practices, the paper highlights AI’s potential in automating Shariah compliance, optimizing resource use, and improving customer engagement. The findings suggest that AI-driven business model innovation can accelerate the global adoption of Islamic banking, particularly in emerging economies, while aligning with the principles of sustainability and responsible finance.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-11
DOI
https://doi.org/10.5281/zenodo.16788034
Primary Topic
Retinal Diseases and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

UmarM_AI-IslamicBanking_Version2.pdf

Zenodo (CERN European Organization for Nuclear Research)
Retinal Diseases and Treatments
article

UmarM_AI-IslamicBanking_Version2.pdf

article en

Abstract

Islamic banking, grounded in Shariah principles, is emerging as a sustainable and ethical alternative to conventional interest-based banking. With the rapid advancement of artificial intelligence (AI), financial institutions have new opportunities to innovate business models, enhance operational efficiency, and strengthen customer trust. This study develops a conceptual framework that integrates AI applications into Islamic banking operations, focusing on value creation, delivery, and capture in line with ethical finance. By comparing Islamic and conventional banking practices, the paper highlights AI’s potential in automating Shariah compliance, optimizing resource use, and improving customer engagement. The findings suggest that AI-driven business model innovation can accelerate the global adoption of Islamic banking, particularly in emerging economies, while aligning with the principles of sustainability and responsible finance.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 40%
Retinal Diseases and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

UmarM_AI-IslamicBanking_Version2.pdf · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS