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Artificial intelligence and blockchain implementation in supply chains: a pathway to sustainability and data
Naoum Tsolakis1,2, Roman Schumacher3, Manoj Dora4
1Centre for International Manufacturing, Institute for Manufacturing (IfM), Department of Engineering, School of Technology, University of Cambridge, Cambridge, CB3 0FS UK.
Annals of Operations Research
|June 27, 2022
Summary
This study examines the combined use of Artificial Intelligence (AI) and Blockchain Technology (BCT) in supply chains. It proposes a framework for digital food supply chains to enhance sustainability and data monetization.
Area of Science:
- Supply Chain Management
- Information Systems
- Sustainable Development
Background:
- Digitalization offers significant operational benefits in supply chains.
- The combined impact of advanced technologies like AI and BCT remains underexplored due to limited empirical evidence.
- Integrating digital technologies is crucial for enhancing supply chain performance and achieving sustainability goals.
Purpose of the Study:
- To explore the joint implementation of Artificial Intelligence (AI) and Blockchain Technology (BCT) in supply chains.
- To assess the potential of AI and BCT for improving operations, fostering sustainable development, and enabling data monetization.
- To develop a unified framework for digital food supply chains.
Main Methods:
- Empirical study of the tuna fish supply chain in Thailand.
- Mapping of end-to-end business processes and system interactions.
- Analysis of material, data, and information flows for AI and BCT integration.
Main Results:
- AI and BCT play a central role in managing digital supply chains.
- The impact on sustainability and data monetization is contingent on stakeholder-defined parameters.
- A unified framework for digitally handling key data elements in food supply chains was proposed.
Conclusions:
- The combined implementation of AI and BCT offers significant potential for supply chain transformation.
- The proposed framework supports value delivery in AI and BCT-enabled food supply chains.
- Empirically-driven modeling aids academics and practitioners in adopting digital interventions for sustainability and data monetization.
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