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AI-EcoSCM: A Lean and Agile Framework for Economic Excellence

Author

Listed:
  • Rahal, Imene
  • Khalifa, zayed

Abstract

This paper explores the emerging framework of AI-driven Economic Supply Chain Management (EcoSCM), which adapts industrial supply chain optimization and artificial intelligence (AI) principles to the management of economic systems and institutions. EcoSCM emphasizes the systematic coordination of financial, administrative, and technological processes to deliver efficient, adaptive, and data-driven economic ecosystems. The study highlights how Lean principles (waste elimination, continuous improvement) enhance operational efficiency, while Agile principles promote flexibility and responsiveness to rapidly changing market and policy environments. In addition, AI integration—through predictive modeling, data analytics, and intelligent automation—provides real-time insights, informed decision-making, and enhanced economic intelligence. The paper proposes Lean, Agile, and AI Scoring Models to evaluate institutional maturity across efficiency, adaptability, and intelligence dimensions. By aligning Lean efficiency, Agile flexibility, and AI-driven intelligence, EcoSCM establishes a Smart Leagile paradigm capable of sustaining innovation, quality assurance, and digital transformation in the economic sector.

Suggested Citation

  • Rahal, Imene & Khalifa, zayed, 2025. "AI-EcoSCM: A Lean and Agile Framework for Economic Excellence," MPRA Paper 126740, University Library of Munich, Germany, revised 15 Oct 2025.
    • Handle: RePEc:pra:mprapa:126740
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    File URL: https://mpra.ub.uni-muenchen.de/126740/1/MPRA_paper_126740.pdf
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    References listed on IDEAS

    as
    1. Md. Ahashan Habib & Yukun Bao & Nurun Nabi & Marzia Dulal & Asma Ansary Asha & Mazedul Islam, 2021. "Impact of Strategic Orientations on the Implementation of Green Supply Chain Management Practices and Sustainable Firm Performance," Sustainability, MDPI, vol. 13(1), pages 1-21, January.
    2. Charlotte L. Briggs, 2007. "Curriculum Collaboration: A Key to Continuous Program Renewal," The Journal of Higher Education, Taylor & Francis Journals, vol. 78(6), pages 676-711, November.
    3. Rahal, Imen & Elloumi, Abdelkarim, 2022. "The analysis of the Bullwhip effect on the supply chain management of perishable products," MPRA Paper 117992, University Library of Munich, Germany.
    4. RAHAL, Imen, 2024. "The Supply Chain Management for Perishables Products : A Literature Review," MPRA Paper 119193, University Library of Munich, Germany.
    5. Rahal, Imen, 2023. "Analyse de la gestion des stocks de produits périssables en utilisant le modèle EOQ en Tunisie [Analysis of stock management for perishable products using EOQ model in Tunisia]," MPRA Paper 118592, University Library of Munich, Germany.
    6. Rahal, Imen & Elloumi, Abdelkarim, 2023. "Climate change's effects on food Security in Sub-Saharan Africa (SSA)," MPRA Paper 118569, University Library of Munich, Germany.
    7. Rahal, Imen & Elloumi, Abdelkarim, 2021. "Inventory management of perishable products : a case of melon in Tunisia," MPRA Paper 118028, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. RAHAL, Imene & KHALIFA, zayed, 2025. "The Blue Economy in the Digital Age: How Information Technologies Are Transforming the Blue Economy," MPRA Paper 127349, University Library of Munich, Germany, revised 16 Nov 2025.
    2. RAHAL, Imen & Khalifa, Zayed, 2025. "Artificial Intelligence and Economic Growth: Opportunities, Challenges, and Future Directions," MPRA Paper 127061, University Library of Munich, Germany, revised 12 Nov 2025.

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    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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