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The Role of Artificial Intelligence in Automating and Managing Blockchain-Based Supply Chain Transactions in MENA Countries

In: Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026)

Author

Listed:
  • Asma Houfani

    (University Mohamed Khider of Biskra)

  • Mohammed Lanani

    (University of Batna1)

Abstract

This paper explores the role of Artificial Intelligence (AI) in automating and managing blockchain-based supply chain transactions in MENA countries (Middle East and North Africa), a region undergoing rapid digital transformation in trade and logistics. It examines how AI enhances blockchain systems by improving transparency, operational efficiency, and transaction reliability. The study adopts a qualitative analytical approach based on recent literature and selected regional examples. The analysis focuses on current adoption trends, existing challenges, and AI-driven automation mechanisms. Findings show that AI strengthens predictive decision-making, automates smart contracts, and improves fraud detection and real-time tracking. Despite these benefits, regulatory gaps, technological integration issues, and skills shortages remain significant barriers. Overall, AI–blockchain integration presents strong potential for building efficient and resilient smart supply chains in MENA.

Suggested Citation

  • Asma Houfani & Mohammed Lanani, 2026. "The Role of Artificial Intelligence in Automating and Managing Blockchain-Based Supply Chain Transactions in MENA Countries," Advances in Economics, Business and Management Research, in: Djouhara Agti & Salim Bitam & Fateh Debla & Reguia Cherroun (ed.), Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026), pages 143-153, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6239-711-8_15
    DOI: 10.2991/978-94-6239-711-8_15
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