Identification of food safety risk factors based on intelligence flow and DEMATEL-ISM (DEcision-MAking Trial and Evaluation Laboratory and Interpretative Structural Modeling)

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Abstract

In recent years, increasing number of countries have focused on potential food safety risk factors with the frequent exposures of food safety incidents, including "bovine spongiform encephalo-pathy," "illegal cooking oil," and "hygiene of take-out." Food safeÂty risks are frequently carried by multiple subjects in most cases, and intelligence flow among these subjects is easily ignored. To identify food safety risk factors from the perspective of intelligenÂce flow, the internal relationship between intelligence flow and food safety risks was analyzed, and an index system of food safety risk factors was established. Furthermore, a food safety risk reÂcognition model was constructed with the DEcision-MAking Trial and Evaluation Laboratory and Interpretative Structural Modeling (DEMATEL-ISM). Results demonstrate that poor supervision, acÂtivity degree of public opinion information, and personal safety risk awareness are the key factors influencing food safety risks. In addition, unhygienic processing environment and inappropriate processing and eating are the superficial causes of food safety risks or food safety incidents. The conclusions serve as reference to strengthen accurate recognition and notification of food safety risk factors from the perspective of intelligence flow.

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Zhang, Y., & Song, Y. (2020). Identification of food safety risk factors based on intelligence flow and DEMATEL-ISM (DEcision-MAking Trial and Evaluation Laboratory and Interpretative Structural Modeling). Dyna (Spain), 95(4), 418–424. https://doi.org/10.6036/9636

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