The Role of Big Data and Predictive Analytics in Developing Resilient Supply Chains: A Resource-based Perspective
Résumé
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.
Mots clés
- Intuition
- Intuition Resilience
- Uncertainty
- Decision-making
- Big Data
- Predictive Analytics
- Resilience
- Resilience Predictive Analytics Big Data Decision-making Uncertainty Intuition Resilience Predictive Analytics Big Data Decision-making Uncertainty Intuition Resilience Predictive Analytics Big Data Decision-making Uncertainty Intuition Resilience Predictive Analytics Big Data Decision-making Uncertainty Intuition Resilience Predictive Analytics Big Data Decision-making Uncertainty Intuition Resilience Predictive Analytics Big Data Decision-making Uncertainty Intuition
Domaines
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