Artificial Intelligence and Big Data Strategies for Sustainable and Resilient Supply Chain Management
A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Supply Chain Management".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 896
Special Issue Editor
Special Issue Information
Dear Colleagues,
The rapid development of Artificial Intelligence (AI) and Big Data analytics is transforming supply chain management (SCM), offering new opportunities for efficiency, resilience, and sustainability. Global supply chains face increasing challenges due to disruptions, regulatory pressures, and the growing importance of ESG (Environmental, Social, and Governance) compliance. Leveraging AI-driven models, predictive analytics, and data-intensive strategies offers a pathway toward smarter, more adaptive, and sustainable supply chains.
This Special Issue explores the integration of AI-driven models, predictive analytics, and data-driven strategies into supply chains, with particular attention to ESG (Environmental, Social, and Governance) compliance, risk management, and digital transformation. We welcome both theoretical and applied research, including empirical studies, econometric analyses, simulation models, optimization approaches, and case-based investigations.
Topics of interest may include, but are not limited to, the following:
- AI-enabled decision support systems, machine learning, and deep learning applications in procurement, logistics, and demand forecasting.
- Big Data–driven risk analytics, blockchain, IoT, and digital twin solutions for resilient and transparent supply chains.
- Econometric modeling and causal inference approaches for analyzing resilience, productivity, and ESG outcomes.
- Quantitative evaluation of sustainability and climate policies in digitalized supply chains.
- Productivity and efficiency measurement in AI-enabled operations and logistics networks.
- Input–output and computable general equilibrium (CGE) models to assess economic, social, and environmental spillovers of digital SCM.
- Cross-country and sectoral comparative studies on AI and Big Data adoption and their macroeconomic implications.
- Bibliometric and scientometric analyses of innovation trends at the intersection of AI, Big Data, and sustainable SCM.
This Special Issue fits the scope of Systems by examining supply chains as complex socio-technical systems shaped by technological, environmental, and institutional dynamics. The integration of AI, Big Data, and digital tools reflects a systemic and holistic perspective on resilience, sustainability, and ESG compliance. By combining systems theory, econometric modeling, and interdisciplinary approaches, this Issue addresses operations, logistics, and digitalization in line with the journal’s focus on complex adaptive systems and socio-technical integration.
We look forward to receiving your contributions.
Dr. Sebastian-Emanuel Stan
Guest Editor
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence in supply chain management
- big data analytics
- sustainable supply chains
- ESG-oriented management
- digital transformation
- smart logistics
- resilience and risk management
- econometric modeling
- productivity and efficiency
- decision support systems
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