Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation

DOI10.1007/S10479-021-03956-XMaRDI QIDQ6491700

S. Verma, Amine Belhadi, Sachin S. Kamble, Venkatesh Mani, Syed Abdul Rehman Khan

Publication date: 24 April 2024

Published in: Annals of Operations Research (Search for Journal in Brave)

Mathematics Subject Classification ID

Mathematical programming (90Cxx) Computer system organization (68Mxx) Operations research and management science (90Bxx)

Related Items (3)

Preface: Artificial intelligence in operations management ⋮ Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review ⋮ Influence of supply chain risk management and its mediating role on supply chain performance: perspectives from an agri-fresh produce

Cites Work

• A hybrid scenario cluster decomposition algorithm for supply chain tactical planning under uncertainty
• A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
• Transforming business using digital innovations: the application of AI, blockchain, cloud and data analytics

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