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The main purpose of this study is to find out how perceived risk elements influence to customer's perceived value and repurchase intention in the electronic commerce environment. To achieve the goal, we set 6 sub-dimension - privacy risk, social risk, time lose risk, economic risk, psychological risk, and performance risk - based on comprehensive consideration of related studies, and established a research model included 2 factors such as perceived value and repurchase intention to measure performance in internet shopping malls. From 174 customers of the electronic commerce shopping malls survey data have been collected and analyzed based on the covariance structural model method. Firstly, four perceived risk characteristics of privacy risk, economic risk, psychological risk, and performance risk are significant effect on perceived value. Secondly, perceived value is very significantly related to repurchase intention in electronic commerce shopping malls. Consequently, we discussed the strategies to create perceived value and repurchase intention in electronic commerce environment. Also, we suggested the implications and further research directions.
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