Strengthening Supply Chain Resilience Through AI-Driven Sustainability Practices
- 2 September 2026
- book chapter
- Published by Springer Nature
- p. 123-139
Abstract
No abstract availableKeywords
This publication has 23 references indexed in Scilit:
- Social Bias in AI: Re-coding Innovation through Algorithmic Political CapitalismAI & SOCIETY, 2025
- A machine learning approach to inventory stockout predictionJournal of Digital Economy, 2025
- Transportation carbon reduction technologies: A review of fundamentals, application, and performanceJournal of Traffic and Transportation Engineering (English Edition), 2024
- AI-Driven Supply Chain Transformation in Industry 5.0: Enhancing Resilience and SustainabilityJournal of the Knowledge Economy, 2024
- Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigationAnnals of Operations Research, 2021
- Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AIInformation Fusion, 2020
- The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analyticsInternational Journal of Production Research, 2018
- Modelling customer and technical requirements for sustainable supply chain planningInternational Journal of Production Research, 2014
- ENSURING SUPPLY CHAIN RESILIENCE: DEVELOPMENT OF A CONCEPTUAL FRAMEWORKJournal of Business Logistics, 2010
- An inter-sectoral comparison of green supply chain management in China: Drivers and practicesJournal of Cleaner Production, 2006