Abstract

Artificial intelligence (AI) has gained significant attention in the logistics and supply chain sector, specifically in relation to halal sector. Utilizing AI in halal supply chain management can provide several advantages, such as decreased expenses, heightened productivity, and enhanced decision making capabilities. The emergence of halal supply chain management is a distinctive implementation of AI in the logistics industry. By incorporating AI-powered technologies and applications, halal supply chain management can effectively and compliantly manages whole activities of halal product distribution across the supply chain in order to prevent any contamination and to observe the Islamic rule, starting from production and distribution, and finally to the customers. This article presents a robust framework that seeks to structure and elucidate the processes involved in using artificial intelligence in a halal supply chain management. It offers valuable assistance to academics, practitioners, and decision-makers. It functions as a navigational instrument for empirical investigation, pinpointing essential elements of AI technology that might enhance the efficiency of halal supply chain management. The robust framework seeks to explore essential inquiries regarding the efficacy of AI in halal supply chain management, pinpointing critical determinants for beneficial results.

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Year of Publication
2024
Journal
African Journal of Biological Sciences
Volume
6
Issue
4
URL
https://www.afjbs.com/issue-content/robust-framework-of-halal-supply-chain-management-with-integration-of-artificial-intelligence-application-for-industrial-growth-5920
DOI
10.48047/AFJBS.6.14.2024.6235-6259
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Robust Framework of Halal Supply Chain Management with Integration of Artificial Intelligence Application for Industrial Growth

Assistant Professor of Law

Citation: 1.Sarbani NB, Razak AHA, Ibrahim I, Senathirajah ARS, Apandi AAA. Robust Framework of Halal Supply Chain Management with Integration of Artificial Intelligence Application for Industrial Growth. African Journal of Biological Sciences. 2024;6(4). doi: 10.48047/AFJBS.6.14.2024.6235-6259

In: African Journal of Biological Sciences

Published by: , 2024

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