Emerging technologies and Islamic finance: a bibliometric review

Purpose – This study aims to map the intellectual, conceptual and thematic structure of research on emerging technologies in Islamic finance. Design/methodology/approach – A comprehensive bibliometric analysis was conducted on 428 peer-reviewed documents indexed in Scopus from 2011 to 2024. Using the Bibliometrix R package, the study applies performance analysis, coauthor ship networks, co-citation analysis and co-word clustering to explore scholarly output, influential authors and journals and thematic structures in the field. Findings – The findings reveal nine major research clusters, including Islamic fintech, machine learning, blockchain, cryptocurrencies, cybersecurity and takaful. Malaysia and Indonesia dominate scholarly output. Publication trends show exponential growth post-2018, driven by technological adoption and the COVID-19 crisis. Despite rising interest, gaps remain in Shariah-compliant DeFi, cross-border digital governance and ethical artificial intelligence integration. Originality/value – This bibliometric review provides a systematic, multidimensional analysis of how emerging technologies intersect with Islamic finance.