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The Role of Big Data and Predictive Analytics in Developing Resilient Supply Chains: A Resource-based Perspective

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  • Alireza Asgari

    (UGA INP IAE - Grenoble Institut d'Administration des Entreprises - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes, CERAG - Centre d'études et de recherches appliquées à la gestion - UGA - Université Grenoble Alpes)

  • Morteza Alaeddini

    (AUT - Amirkabir University of Technology, UGA - Université Grenoble Alpes, CERAG - Centre d'études et de recherches appliquées à la gestion - UGA - Université Grenoble Alpes, ICN Business School, CEREFIGE - Centre Européen de Recherche en Economie Financière et Gestion des Entreprises - UL - Université de Lorraine)

  • Paul Reaidy

    (CERAG - Centre d'études et de recherches appliquées à la gestion - UGA - Université Grenoble Alpes)

Abstract

Supply chain resilience (SCR) is critical due to global disruptions. This study examines how big data (BD) adoption, resources, and predictive analytics (BDPA) improve SCR. Using data from 183 companies in France and PLS-SEM analysis, the results show that business uncertainty and data-driven strategies drive BD adoption. High-quality BD improves BDPA capabilities, which strengthen SCR. Decision maker intuition also influences the BDPA-SCR relationship. The study provides insights for practitioners to leverage BD and predictive analytics for better decision making and risk mitigation in volatile supply chains.

Suggested Citation

  • Alireza Asgari & Morteza Alaeddini & Paul Reaidy, 2025. "The Role of Big Data and Predictive Analytics in Developing Resilient Supply Chains: A Resource-based Perspective," Post-Print hal-05287323, HAL.
    • Handle: RePEc:hal:journl:hal-05287323
    DOI: 10.1016/j.ifacol.2025.09.483
    Note: View the original document on HAL open archive server: https://hal.science/hal-05287323v1
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    References listed on IDEAS

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