GREEN MAQASID MEETS HALAL ECONOMY: INTEGRATING SUSTAINABILITY METRICS INTO AI-POWERED DIGITAL HALAL CERTIFICATION STANDARDS
Abstract
The rapid expansion of the global halal economy, coupled with growing environmental concerns, has intensified calls to integrate sustainability principles into halal certification frameworks. Conventional halal standards mainly focus on ingredient permissibility and production processes, often neglecting ecological impact, carbon footprint, and ethical resource management. In response, Green Maqasid al-Shari‘ah an extension of the classical objectives of Islamic law emphasizing environmental stewardship offers a normative basis for embedding sustainability within halal governance. At the same time, advances in artificial intelligence (AI) create opportunities to operationalize these values through automated monitoring, digital traceability, and real-time compliance assessment. This convergence highlights the need for a systematic analysis of incorporating sustainability metrics into AI-powered halal certification systems. Accordingly, this study examines the feasibility, governance implications, and technological requirements of integrating Green Maqasid sustainability indicators into digital halal certification standards, aiming to develop a conceptual framework that aligns Islamic ethical principles with AI-enabled compliance infrastructures in cross-border halal trade. A qualitative research approach is employed, including document analysis, expert interviews with Shariah scholars and AI specialists, and case studies of emerging digital certification platforms. The findings reveal that AI can effectively integrate sustainability metrics such as ecological impact assessment, waste reduction, and ethical sourcing into halal certification processes, though challenges persist regarding data standardization, Shariah oversight, and cross-jurisdictional alignment. The study concludes that embedding Green Maqasid principles enhances both religious integrity and environmental responsibility in future halal governance.
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References
Agarwal, A., & Nene, M. J. (2025). A five-layer framework for AI governance: integrating regulation, standards, and certification. Transforming Government: People, Process and Policy, 19(3), 535–555. https://doi.org/https://doi.org/10.1108/TG-03-2025-0065
Almutairi, S. T., Hasnan, N. Z. N., Sultan, M. T. H., Ab. Aziz, N., & Samian, N. (2025). Comprehensive analysis of global challenges and key factors in national food control systems. British Food Journal, 127(12), 4448–4472. https://doi.org/https://doi.org/10.1108/BFJ-10-2024-1006
Bachtiar, W. F., Masruroh, N. A., Asih, A. M. S., & Sari, D. P. (2025). Halal food sustainable traceability: a multi-group consumer-centric acceptance and preference analysis. Journal of Islamic Marketing, 16(12), 3682–3710. https://doi.org/https://doi.org/10.1108/JIMA-12-2024-0610
Bahara, R., Nur Aidi, M., Syamsu, K., Sunarti, E., Jayanegara, A., & Tieman, M. (2025). Exploration of global Halal food SMEs research through state approach: bibliometric analysis. Journal of Islamic Marketing, 16(7), 1904–1948. https://doi.org/https://doi.org/10.1108/JIMA-02-2024-0061
Basel. (2024). Conference abstracts from IFOMPT 24, the 12th world conference of musculoskeletal and manual physical therapy. Celebrating 50 years. Musculoskeletal Science and Practice, 72, 103127. https://doi.org/https://doi.org/10.1016/j.msksp.2024.103127
Bayatzadeh, S., & Talaie, H. (2025). An evaluation of traceability dynamics in dairy supply chains through causal modeling in emerging economies. Supply Chain Analytics, 11, 100156. https://doi.org/https://doi.org/10.1016/j.sca.2025.100156
Chen, S. (2025). Blockchain-Enabled Traceability Framework to Improve Transparency in Supply Chain Management. Information Resources Management Journal, 38(1). https://doi.org/https://doi.org/10.4018/IRMJ.389708
El Hajji, M., Es-saady, Y., Ait Addi, M., & Antari, J. (2024). Optimization of agrifood supply chains using Hyperledger Fabric blockchain technology. Computers and Electronics in Agriculture, 227, 109503. https://doi.org/https://doi.org/10.1016/j.compag.2024.109503
El jaouhari, A., Arif, J., Samadhiya, A., Naz, F., & Kumar, A. (2024). RETRACTED: Exploring the application of ICTs in decarbonizing the agriculture supply chain: A literature review and research agenda. Heliyon, 10(8), e29564. https://doi.org/https://doi.org/10.1016/j.heliyon.2024.e29564
Emssaad, I., Ben-Bouazza, F.-E., Tafala, I., Mezali, M. C. El, & Jioudi, B. (2025). Leveraging multilingual RAG for breast cancer RCPs: AI-driven speech transcription and compliance in Darija-French clinical discussions. Computer Methods and Programs in Biomedicine Update, 8, 100221. https://doi.org/https://doi.org/10.1016/j.cmpbup.2025.100221
Fatorachian, H., & Kazemi, H. (2025). Secure digital frameworks for cold chain emissions tracking: leveraging AI and blockchain for robust data integrity. Computers & Industrial Engineering, 209, 111467. https://doi.org/https://doi.org/10.1016/j.cie.2025.111467
Gao, W., Bai, R., & Ling, S. (2025). Artificial intelligence-enabled cellular Agriculture: Multiscale modeling, process optimization, and future directions. Trends in Food Science & Technology, 163, 105193. https://doi.org/https://doi.org/10.1016/j.tifs.2025.105193
Haghighat, M., MohammadiSavadkoohi, E., & Shafiabady, N. (2025). Applications of Explainable Artificial Intelligence (XAI) and interpretable Artificial Intelligence (AI) in smart buildings and energy savings in buildings: A systematic review. Journal of Building Engineering, 107, 112542. https://doi.org/https://doi.org/10.1016/j.jobe.2025.112542
Halder, S., Rafiqul Islam, M., Mamun, Q., Mahboubi, A., Walsh, P., & Zahidul Islam, M. (2025). A comprehensive survey on AI-enabled secure social industrial Internet of Things in the agri-food supply chain. Smart Agricultural Technology, 11, 100902. https://doi.org/https://doi.org/10.1016/j.atech.2025.100902
Hampton, S., Byfuglien, A., Eadson, W., Latter, B., Hardy-Jones, B., Sugar, K., Bamford, H., & Blundel, R. (2025). Multiple roles of business for climate action. IScience, 114059. https://doi.org/https://doi.org/10.1016/j.isci.2025.114059
Han, Y., Li, X., Zhang, Y., & Goi, N. (2025). RETRACTED: Balancing economic growth and ecological sustainability: Factors affecting the development of renewable energy in developing countries. International Journal of Hydrogen Energy, 116, 601–612. https://doi.org/https://doi.org/10.1016/j.ijhydene.2025.02.277
Hong, Y., Chen, T., & Zhang, Y. (2025). Individual intellectual capital, creative process engagement and information security policy compliance. Journal of Intellectual Capital, 26(6), 1233–1256. https://doi.org/https://doi.org/10.1108/JIC-04-2025-0141
Hosseini, S. E., Barati, A. A., Asadi, A., Bozorgi-Amiri, A., & Azadi, H. (2025). Smart agri-food supply chains during the 2020s: Mapping emerging trends, prevailing themes, and future directions. Sustainable Futures, 10, 101553. https://doi.org/https://doi.org/10.1016/j.sftr.2025.101553
Hussein, R., Gyrard, A., Abedian, S., Gribbon, P., & Martínez, S. A. (2025). Interoperability Framework of the European Health Data Space for the Secondary Use of Data: Interactive European Interoperability Framework–Based Standards Compliance Toolkit for AI-Driven Projects. Journal of Medical Internet Research, 27. https://doi.org/https://doi.org/10.2196/69813
Keaney, S., & Berthon, P. (2025). Balancing explainability and privacy in AI systems: A strategic imperative for managers. Business Horizons. https://doi.org/https://doi.org/10.1016/j.bushor.2025.10.004
Khalil, M. A., Padmanabhan, R., Hadid, M., Elomri, A., & Kerbache, L. (2025). AI driven transformation in trade finance: A roadmap for automating letter of credit document examination. Digital Business, 5(2), 100130. https://doi.org/https://doi.org/10.1016/j.digbus.2025.100130
Ko, H., Mesicek, L., Ogiela, M. R., & Cho, Y. (2025). A study on vulnerability analysis process of generative AI-based digital medical contents. Internet of Things, 34, 101759. https://doi.org/https://doi.org/10.1016/j.iot.2025.101759
Kruse, N., & Schöning, J. (2024). Legal conform data sets for yard tractors and robots: AI-based law compliance check on the right to one’s image. Computers and Electronics in Agriculture, 223, 109106. https://doi.org/https://doi.org/10.1016/j.compag.2024.109106
La Cava, L., & Tagarelli, A. (2025). Safeguarding Decentralized Social Media: LLM Agents for Automating Community Rule Compliance. Online Social Networks and Media, 48, 100319. https://doi.org/https://doi.org/10.1016/j.osnem.2025.100319
Leal Filho, W., Wall, T., Williams, K., Dinis, M. A. P., Fernandez Martin, R. M., Mazhar, M., & Gatto, A. (2025). European sustainability reporting standards: An assessment of requirements and preparedness of EU companies. Journal of Environmental Management, 380, 125008. https://doi.org/https://doi.org/10.1016/j.jenvman.2025.125008
Liberty, J. T., Habanabakize, E., Adamu, P. I., & Bata, S. M. (2024). Advancing food manufacturing: Leveraging robotic solutions for enhanced quality assurance and traceability across global supply networks. Trends in Food Science & Technology, 153, 104705. https://doi.org/https://doi.org/10.1016/j.tifs.2024.104705
Malik, M. A. I., Usman, M., Waqas Rafique, M., Raza, S., Saleem, M. W., Abbas, N., Sajjad, U., Hamid, K., Rezaul Karim, M., & Abul Kalam, M. (2024). Managing energy transition alongside environmental protection by making use of AI-led butanol powered SI engine optimization in compliance with SDGs. Heliyon, 10(9), e29698. https://doi.org/https://doi.org/10.1016/j.heliyon.2024.e29698
Martínez, D., Molero, A., Calle, E., Ametller, D. C., & Jové, A. (2025). Large-scale web tracking and cookie compliance: Evaluating one million websites under GDPR with AI categorization. Journal of Network and Computer Applications, 242, 104222. https://doi.org/https://doi.org/10.1016/j.jnca.2025.104222
Morchid, A., Ismail, A., Khalid, H. M., Qjidaa, H., & Alami, R. El. (2025). Blockchain and IoT technologies in smart farming to enhance the efficiency of the agri-food supply chain: A review of applications, benefits, and challenges. Internet of Things, 33, 101733. https://doi.org/https://doi.org/10.1016/j.iot.2025.101733
Nawaz, A., Afzal, A., Khatibi, A., Shankar, A., Madan, H., Faisal, H. S., Shahbaz, A., Usman, I., Zulfiqar, N., Saeed, F., Ahmed, A., Imran, A., Afzaal, M., karni, A., Ahmed, F., Akram, N., Rasheed, M., & Islam, F. (2025). Role of artificial intelligence in halal authentication and traceability: A concurrent review. Food Control, 169, 111003. https://doi.org/https://doi.org/10.1016/j.foodcont.2024.111003
Rahman, M. M., & Awal, M. R. (2025). Chapter 23 - 6G-Enabled smart Halal industry: enhancing compliance sustainability and efficiency (A. K. Tyagi & S. B. T.-H.-C. I. of 6G-E. T. for M. S. Tiwari (eds.); pp. 345–358). Academic Press. https://doi.org/https://doi.org/10.1016/B978-0-443-27434-3.00023-4
Rajput, D. V, More, P. R., Adhikari, P. A., & Arya, S. S. (2025). Blockchain technology in the food supply chain: a way towards circular economy and sustainability. Sustainable Food Technology, 3(4), 930–946. https://doi.org/https://doi.org/10.1039/d5fb00065c
Rakshit, S., Aiswarya, S., Kar, P., Panja, A., Shubha, K., Mukherjee, A., Maity, P. P., Chandrakumar, A., & Sahoo, A. K. (2025). Chapter 5 - Global carbon market: policy pathways for low carbon emissions in the agriculture sector (S. Kumar & R. S. B. T.-A. T. N. Z. E. Meena (eds.); pp. 61–81). Academic Press. https://doi.org/https://doi.org/10.1016/B978-0-443-13985-7.00006-3
Saiyed, S., & Kumar, V. (2025). Title: Green AI hiring and ethical risks: Investigating the impact of algorithmic bias on sustainable human capital development and SDGs compliance. Strategic Business Research, 1(1), 100018. https://doi.org/https://doi.org/10.1016/j.sbr.2025.100018
Sari, R. K., Alfarizi, M., & Ab Talib, M. S. (2024). Sustainable strategic planning and management influence on sustainable performance: findings from halal culinary MSMEs in Southeast Asia. Journal of Modelling in Management, 19(6), 2034–2060. https://doi.org/https://doi.org/10.1108/JM2-12-2023-0324
Simjanoska Misheva, M., Shahpaski, D., Dobreva, J., Bukovec, D., Gjorgjioski, B., Nikolov, M., Frtunikj, D., Lameski, P., Aliu, A., Mishev, K., & Gams, M. (2025). AI Act Compliance Within the MyHealth@EU Framework: Tutorial. Journal of Medical Internet Research, 27. https://doi.org/https://doi.org/10.2196/81184
Westerstrand, S. (2025). Fairness in AI systems development: EU AI Act compliance and beyond. Information and Software Technology, 187, 107864. https://doi.org/https://doi.org/10.1016/j.infsof.2025.107864
Westphal, M., Vössing, M., Satzger, G., Yom-Tov, G. B., & Rafaeli, A. (2023). Decision control and explanations in human-AI collaboration: Improving user perceptions and compliance. Computers in Human Behavior, 144, 107714. https://doi.org/https://doi.org/10.1016/j.chb.2023.107714
Yakubu, M. M., Hassan, M. F. B., Danyaro, K. U., Yakubu, B. M., Alabdulatif, A. A., Beevi, S. Z., & Garba, A. (2025). HalalChain: A decentralized blockchain model for enhanced data integrity, real-time compliance, and automated verification in halal food supply chain. Results in Engineering, 27, 106591. https://doi.org/https://doi.org/10.1016/j.rineng.2025.106591
Zahir, A., & Hamdard, E. (2025). Update on the state of food security and safety in Afghanistan: A review. Food and Humanity, 5, 100650. https://doi.org/https://doi.org/10.1016/j.foohum.2025.100650
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