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The supply chain sector operates in a complex environment and faces various challenges, including fluctuations in demand, disruptions, and the requirement of adhering to regulations. The emergence of groundbreaking technologies such as blockchain, AI, and IoT is driving significant changes in the industry, resulting in improved efficiency, transparency, and security measures. This research paper has used the case-study method to develop to present a dynamic risk management framework that integrates blockchain technology and artificial intelligence. By building a distributed, decentralised ledger that records transactions safely and openly, blockchain technology can be incorporated into the supply chain sector. This framework comprises a risk association tree, smart contracts, and a risk item ledger, offering notable benefits such as enhanced risk management capabilities, operational efficiency, transparency, and potential for collaboration. However, it is essential to note that implementing this framework may involve complexity, necessitate modifications to existing processes, and introduce new risk elements.
Singh et al. (2023) studied this question.