Creating Optimized Online Apparel Shopping Platform through Customer Perception
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초록
This paper is focused on the online apparel shopping platform of WeChat. A new WeChat apparel shopping platform is created that refers to hypothesis model of customer perception evaluation and test the hypothesis model with AMOS software. The purpose of creating new model lies in providing reference for the future research of WeChat apparel shopping platform and the dealers are able to make relevant adjustment and get more consumers, and then improve consumer satisfaction. From the research of the thesis, it can be found that all the factor values of EFA are bigger than 0.6 and all the reliabilities are bigger than 0.7; in aspect of statistics, the result is effective; each result of CFA are effective as well in aspect of statistics. X2/df should be less than 3, RMSEA should be less than 0.1 and GFI, AGFI, NFI, PNFI, TLI should be bigger than 0.9. As shows in Table 4, the value of X2/df=1.577 （less than3）GFI, AGFI, NFI, PNFI, TLI is close to 0.9 that is obvious in statistics. H3 is false and others are true. Among them, H1 is negative correlation and others are positive correlation. From the reverse result between perceived risk factors, it can be seen that the higher perceived risk is, the lower customer satisfaction is.
Abstract
This paper is focused on the online apparel shopping platform of WeChat. A new WeChat apparel shopping platform is created that refers to hypothesis model of customer perception evaluation and test the hypothesis model with AMOS software. The purpose of creating new model lies in providing reference for the future research of WeChat apparel shopping platform and the dealers are able to make relevant adjustment and get more consumers, and then improve consumer satisfaction. From the research of the thesis, it can be found that all the factor values of EFA are bigger than 0.6 and all the reliabilities are bigger than 0.7; in aspect of statistics, the result is effective; each result of CFA are effective as well in aspect of statistics. X2/df should be less than 3, RMSEA should be less than 0.1 and GFI, AGFI, NFI, PNFI, TLI should be bigger than 0.9. As shows in Table 4, the value of X2/df=1.577 （less than3）GFI, AGFI, NFI, PNFI, TLI is close to 0.9 that is obvious in statistics. H3 is false and others are true. Among them, H1 is negative correlation and others are positive correlation. From the reverse result between perceived risk factors, it can be seen that the higher perceived risk is, the lower customer satisfaction is.
참고문헌 (12)
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