摘要(英) |
For the past few years, food safety scandals have occurred frequently in Taiwan, which causing consumer doubts and distrusts in food safety system. Recently, the government has established not only an inter-departmental agency for food safety management, but also promoted relevant food safety policies. However, we cannot trace immediately due to the information of food source is not distinct when food safety incident occurred. It will spent one week on reviewing the information of food source, and not be able to carry out the relevant aftermath and subsequent litigation claims efficiently.
A blockchain-based system should be decentralized, transparency, irreversibility of Records, reliable and increasing trust. It is suitable for application on food safety, which can speed up the traceability and trace the problems of food safety. It belongs to the blockchain 3.0 stage (Justice& Governance) on supply chain applications. In this work, we utilize the decision-making laboratory analysis method (DEMATEL) to analyze the expert questionnaires. The foundation of food safety is established on “innovation diffusion factor”, “blockchain technical characteristics”, “food safety management”, “government policy” and “supply chain management”. It′s a way to explore the food safety chain in the food supply chain, the five major aspects and guidelines are mutually influential. Further, we combine with the network level analysis method (Analytic Network Process, ANP) and analyze the weighted values of the item rankings and key success factors. We can observe that the government′s support and attitude have the greatest impact and direct relationship through expert interviews and statistical analysis. The traceability, tracking of production, sales resumes and the integration of partners are a key impact on food blockchain applications of food safety assurance. We can provide proper references to government agencies and industry and other relevant institutions for management decision.
By using food blockchain applications, we can speed up the tracking flows of food information, figure out the root causes of the problems, explore the scope of the food safety incidents and effectively improve food safety when food safety incidents occurred in the future.
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