Abstract
Cash on delivery is one of the payment methods provided to customers by the enterprises. In this article, the links of cash on delivery transactions were decomposed and divided into detailed nodes. Based on the survey data, the qualitative and quantitative analysis on risks associated with the cash on delivery process were carried out using the social network model. The influential risk factors of cash on delivery were precisely narrowed in scope. Fuzzy Petri Net was then used in identifying the dynamic risk factors, analyzing the correlation between dynamic risk factors and subsequent nodes, and establishing risk matrix to analyze the relationship between risk index grade, risk size and risk level. Finally, the two methods were combined and a reasonable and effective risk evaluation index system was obtained. The presented work was expected to serve as reference for the e-commerce platforms to reduce the risks and improve the service quality in the cash on delivery transactions.
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