Articles
Vol. 1 (2025)
Unveiling the AI–Blockchain Nexus in Sustainable Food Supply Chains: A Meso-Level Systematic Review and Fuzzy Cognitive Mapping Analysis
Department of Supply Chain Management, Faculty of Business and Economics, University of Pannonia, Veszprém, Hungary
Groningen Research Institute of Purchasing (GRIP), Groningen, The Netherlands
Abstract
Purpose/Aim: Describing the integration of Artificial Intelligence and Blockchain (AIB) technology, based on a review of 60 peer reviewed studies between 2018 and 2025.
Methodology: Using Fuzzy Cognitive Mapping, the study models the interdependencies among factors to uncover key causal relationships within the AIB Nexus.
Results: The AIB-Nexus is transforming food supply chains. Positioned at the meso level, encompassing networks of producers, processors, distributors, and retailers, the convergence of these technologies enhances sustainability performance and inter-organizational collaboration. Five core benefit dimensions are identified and synthesised: traceability, transparency, sustainability, trust, and safety. Analysis reveals that traceability and transparency emerge as most frequently cited and influential benefits, highlighted in over 75% of studies. Ultimately, the study positions the AIB Nexus as a foundational enabler of resilience, accountability, and sustainability within the global food system.
Managerial relevance: enhanced traceability strengthens trust, thereby amplifying transparency and stakeholder alignment.
Conclusions: a novel stakeholder-centric AIB Nexus framework is proposed that illustrates how AI and blockchain jointly optimize decision-making, enabling real-time monitoring, and promoting sustainable practices across organizational boundaries.
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