Fraud vulnerability quantitative assessment of Wuchang rice industrial chain in China based on AHP-EWM and ANN methods

文献类型： 外文期刊

第一作者： Song, Huaxin

作者： Song, Huaxin;Lu, Baiyi;Song, Huaxin;Lu, Baiyi;Song, Huaxin;Lu, Baiyi;Ye, Chunhui;Li, Jie;Zhu, Zhiwei;Zheng, Lufei

作者机构：

关键词： Fraud; Vulnerability assessment; Quantitative; Wuchang rice; Industrial chain

期刊名称：FOOD RESEARCH INTERNATIONAL （ 影响因子：6.475； 五年影响因子：6.508 ）

ISSN： 0963-9969

年卷期： 2021 年 140 卷

页码：

收录情况： SCI

摘要： Vulnerability assessment has been used in the food fraud mitigation based on the subjective judgement of industry participants and simple calculation. To have a more objective result, an improved vulnerability quantitative assessment method was proposed. The overall fraud vulnerability was described by the vulnerability of fraud factors and the health and economic impact of fraud incidents. The fraud factors were related to opportunity, motivation and control measure. Analytic hierarchy process combined with entropy weighting method (AHP-EWM) and artificial neural networking (ANN) to improve judgment accuracy. In the application in Wuchang rice industrial chain, 51 fraud factors were used in the assessment and 10 experts, 36 farmers, 15 suppliers and 15 supervisors were interviewed. Results showed that Wuchang rice industrial chain was highly vulnerable to fraud. The opportunity for fraud was high, the motivation to commit it was moderate, and controls to prevent it needed reinforcing. Fraud vulnerability differed between farmers and suppliers. To reduce the fraud vulnerability, improved regulations and policies and stiffer penalties were strongly recommended.

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