Artificial intelligence in the halal industry: a PRISMA-guided systematic review and bibliometric mapping of Scopus literature (2017–March 2025)

Azwar Azwar; Abur Hamdi  Usman; Gunawan  Baharuddin; Humaira  Ahmad; Mutsalim  Khareng

doi:10.29244/hass.2.3.17-25

Authors

Azwar Azwar Institut Agama Islam STIBA Makassar, Jl. Inspeksi PAM Timur, Manggala, Kec. Manggala, Kota Makassar, Sulawesi Selatan, 90234, Indonesia
Abur Hamdi Usman Universiti Islam Selangor (UIS), Bandar Seri Putra, 43000, Kajang, Selangor, Malaysia
Gunawan Baharuddin Universitas Pancasila, Jl. Lenteng Agung Raya No.56, RT.1/RW.3, Srengseng Sawah, Kec. Jagakarsa, Kota Jakarta Selatan, Jakarta, 12630, Indonesia
Humaira Ahmad University of Management and Technology, C-II Block C 2 Phase 1 Johar Town, Lahore, 54770, Pakistan
Mutsalim Khareng Princess of Naradhiwas University, 99, Khok Khian, Mueang Narathiwat District, Narathiwat 96000, Thailand

DOI:

https://doi.org/10.29244/hass.2.3.17-25

Keywords:

Artificial intelligence, Halal authentication, Halal industry, Systematic Literature Review, PRISMA

Abstract

The research and application of artificial intelligence (AI) in the halal industry were mapped through the adoption of the PRISMA-guided Systematic Literature Review (SLR) to derive a Shariah-compliant research agenda for Halal Industry 4.0. This was achieved by searching Scopus (TITLE–ABS–KEY) for relevant publications from 2000 to March 2025. The records obtained were screened using predefined inclusion/exclusion criteria followed by the analysis of the selected articles through descriptive bibliometrics, inductive thematic coding, and keyword co-occurrence mapping (VOSviewer). The screening showed that 23 out of the 95 records initially identified met the eligibility criteria and were published from 2017 to March 2025 as a reflection of the recency and rapid growth of the AI–halal research field. The analysis also showed that AI such as computer vision/OCR, spectroscopy-data analytics, and AI–blockchain/Internet of Things (IoT) architectures was most frequently used for halal authentication and traceability, efficiency and decision support in certification and supply chains, data-driven applications in halal tourism, fintech, and consumer analytics. However, the evidence remains fragmented due to limited real-world validation, inconsistent reporting of data provenance and model transparency, as well as an underdeveloped conceptual bridge between AI governance and Shariah/maqasid al-sharı‘ah requirements. Future research should prioritise explainable and auditable AI for halal assurance, interoperable standards for cross-border digital certification, and practical small and medium scale enterprise (SME) adoption pathways through shared infrastructure and regulatory sandboxes.

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