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All Journal AL-KHIYAR: Jurnal Bidang Muamalah dan Ekonomi Islam AL-QIBLAH: Jurnal Studi Islam dan Bahasa Arab
Abur Hamdi Usman
Universiti Islam Selangor (UIS) Malaysia
Religion

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Artificial Intelligence dalam Pasar Modal Syariah: Studi Bibliometrik terhadap Struktur Intelektual, Tren Riset, dan Future Research Agenda: Artificial Intelligence in Islamic Capital Markets: A Bibliometric Analysis of Intellectual Structure, Research Trends, and Future Research Agenda Azwar Azwar; Abur Hamdi Usman; Muh. Ali Akbar; Andi Ahmad Mappangaja
AL-QIBLAH: Jurnal Studi Islam dan Bahasa Arab Vol. 5 No. 3 (2026): AL-QIBLAH: Jurnal Studi Islam dan Bahasa Arab
Publisher : Pusat Penelitian dan Pengabdian Masyarakat (P3M) Sekolah Tinggi Ilmu Islam dan Bahasa Arab (STIBA) Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36701/qiblah.v5i3.3051

Abstract

This study maps the intellectual structure, research trends, and future research agenda of AI in Islamic Capital Markets using a bibliometric approach. With a descriptive-quantitative design and data from reputable international databases, it analyzes publication growth, key contributors (authors, journals, institutions, and countries), collaboration networks, thematic clusters, and thematic evolution. Results show a sharp increase in publications, especially since 2021, reflecting the rapid expansion of AI applications in Islamic capital markets amid global financial digitalization. Authorship and citation analysis identify Irfan M. as the most productive author, while Abakah et al. (2023) is the most influential work. However, collaboration network analysis reveals a fragmented structure, with zero betweenness centrality among authors, indicating weak interconnectivity between research clusters. At the journal level, the International Journal of Islamic and Middle Eastern Finance and Management and the Journal of Islamic Marketing dominate as key outlets. Institutionally, Federal Polytechnic Ilaro and Hamad Bin Khalifa University are leading contributors, while Indonesia emerges as the most productive country. Thematic analysis identifies four core pillars: (1) AI integration in Islamic finance, (2) investment and financial markets, (3) machine learning-based risk management, and (4) enabling technologies such as blockchain and big data. Thematic evolution indicates a shift toward integrated, value-driven research aligned with maqāṣid al-syarī‘ah, sustainability, regulatory governance, and AI-based investment optimization.
Unveiling the Intellectual Landscape of Artificial Intelligence in Islamic Capital Markets: A PRISMA-Based Systematic Literature Review: Eksplorasi Lanskap Keilmuan Kecerdasan Buatan dalam Pasar Modal Syariah: Studi Tinjauan Literatur Sistematis Berbasis PRISMA Azwar Azwar; Abur Hamdi Usman; Muh. Riandika; Muh. Rezky Pratama
AL-KHIYAR: Jurnal Bidang Muamalah dan Ekonomi Islam Vol. 6 No. 1 (2026): AL-KHIYAR: Jurnal Bidang Muamalah dan Ekonomi Islam
Publisher : Pusat Penelitian dan Pengabdian Masyarakat (P3M), Sekolah Tinggi Ilmu Islam dan Bahasa Arab (STIBA) Makassar, IndonesiaInstitut Agama Islam STIBA Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36701/al-khiyar.v6i1.3052

Abstract

This study aims to systematically map the evolution, intellectual structure, and future research agenda of artificial intelligence (AI) in Islamic capital markets. Employing a Systematic Literature Review (SLR) guided by the PRISMA framework, the study analyzes 34 Scopus-indexed publications to identify temporal trends, dominant themes, methodological developments, and patterns of scholarly collaboration within this emerging field. The findings reveal a clear transformation from a fragmented and pre-paradigmatic stage into a rapidly expanding and increasingly interdisciplinary research domain. Thematically, the literature has evolved from a narrow focus on predictive analytics and efficiency-driven modeling toward a broader integration of risk management, Shariah compliance, sustainability, and behavioral finance. Methodologically, the field has progressed from conventional machine learning techniques to advanced, hybrid, and system-level approaches, reflecting greater engagement with complex financial dynamics. In terms of intellectual structure, the field exhibits a multi-layered and convergent knowledge system supported by globally dispersed, interdisciplinary collaboration networks involving academia, industry, and regulators. Despite these advances, several critical gaps persist, including limited theoretical integration, insufficient development of explainable and Shariah-compliant AI systems, lack of macro-systemic analysis, underexplored applications in social and sustainable finance, fragmented governance frameworks, and weak empirical validation. These findings highlight the need for a paradigmatic shift toward integrative, theory-driven, and impact-oriented research. The study contributes by providing a comprehensive synthesis of the field and proposing a forward-looking research agenda that emphasizes the integration of AI with maqāṣid al-syarī‘ah, ethical governance, and real-world applicability in Islamic capital markets.
Co-Authors Andi Ahmad Mappangaja Azwar Azwar Muh. Ali Akbar Muh. Rezky Pratama Muh. Riandika