Main Article Content
Abstract
Purpose – This study provides a comprehensive mapping of research developments on the role of artificial intelligence (AI) in the halal industry and identifies global trends, collaboration patterns, and contributing regions.
Methodology – A bibliometric analysis was conducted using data from the Scopus database covering the period 2000 to March 2025.
Findings – The results reveal significant growth in publications on AI and the halal industry in recent years. Salaheldeen Mohamed is identified as the most prolific author with four publications, while the most cited work is Applying the Theory of Planned Behavior (TPB) in Halal Food Purchasing by Shah Alam S. and Mohamed Sayuti N., cited 493 times. The Journal of Islamic Marketing is the leading publication outlet, and Universiti Teknologi MARA ranks the highest among institutional contributions. At the national level, Indonesia and Malaysia are leading contributors, with 39 publications each. Keyword analysis shows key research themes such as technology, systems, markets, and data. Emerging trends include AI in supply chain management, blockchain, and consumer trust, particularly in enhancing traceability and efficiency. Underexplored areas such as halal cosmetics and religiosity present future research opportunities.
Implications – The findings have important implications for the development of AI-driven halal industry research, indicating that AI is no longer a conceptual discourse, but is actively applied in various aspects such as marketing, supply chain management, and halal certification.
Originality – This study offers a novel bibliometric analysis that maps key trends and research gaps to guide future AI-driven innovation in the halal sector.