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Leveraging deep learning for risk prediction and resilience in supply chains: insights from critical industries

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References

2023Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model741 cited
2023Dynamic digital capabilities and supply chain resilience: The role of government effectiveness550 cited
2023Predictive Analytics and Machine Learning for Real-Time Supply Chain Risk Mitigation and Agility467 cited
2024Enhancing Supply Chain Agility and Sustainability through Machine Learning: Optimization Techniques for Logistics and Inventory Management351 cited
2023Two views of supply chain resilience264 cited
2022Supply chain risk management with machine learning technology: A literature review and future research directions163 cited
2023Federated machine learning for privacy preserving, collective supply chain risk prediction137 cited
2024Role of information processing and digital supply chain in supply chain resilience through supply chain risk management122 cited
2023Progress in partial least squares structural equation modeling use in logistics and supply chain management in the last decade: a structured literature review118 cited
2024Supply chain resilience: Conceptual and formal models drawing from immune system analogy110 cited
2023Forecasting Stock Market Indices Using the Recurrent Neural Network Based Hybrid Models: CNN-LSTM, GRU-CNN, and Ensemble Models99 cited
2023Impact of Artificial Intelligence on Supply Chain Management Performance95 cited
2023From supply chain risk to system-wide disruptions: research opportunities in forecasting, risk management and product design

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