• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.5
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• pp.765-777
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• 2015

This study examined the e-WOM acception and transmission motive of Chinese online fashion product shoppers in their 20s and analyzed the effect of acception and transmission motive factors on acception and transmission behavior. This study investigated the effect of acception and transmission behaviors on purchase satisfaction. Analysis was conducted with data collected from 373 Chinese individuals in their 20s. Data were analyzed with factorial analysis, ANOVA, multiple regression analysis, chi-square test, paired t-test, and Cronbach's ${\alpha}$ using SPSS 18.0. The results were: 1. The factor analysis of e-WOM acception motive extracted two factors: risk reduction and confidence. The factor analysis of e-WOM transmission motive extracted three factors: Compensation/pleasure, advice, and emotion expression. 2. The two motives of e-WOM acception affected acception behavior. Confidence motive affected acception behavior more than risk reduction motive. The three motives of e-WOM transmission motives affected transmission behavior. Transmission behavior affected by advice, compensation/pleasure, and emotion expression in order of significance. 3. e-WOM acceptance behavior affected purchase satisfaction more than transmission behavior.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.3 s.162
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• pp.410-419
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• 2007

The purposes of this study were to segment consumers by on-line word of month and to find the differences among the segmented groups in regard to fashion involvement, internet perceived risk, and internet purchase behavior. The subjects of this study were female consumers who were members of online cafe in Korea. The data were collected during October, 2004. The respondents returned the questionnaires through internet and 480 questionnaires were finally used in the data analysis. The statistical analyses used for the study were factor analysis, cluster analysis, t-test, and $X^2-test$. The results showed that word-of·mouth communication on internet(e-WOM) is composed of two factors, word-of-mouth transmission and word-of-mouth acceptance. These two factors were put under cluster analysis and were classified into two groups of the word-of·mouth communication: WOM group and non-WOM group. T-test showed that word-of-mouth communication groups were significantly different in regard to fashion involvement, internet perceived risk, and internet purchase behavior. For example, WOM group was more uncertain of their clothing choices, put more weight on the internal factors of clothing selection, and was a frequent purchaser of internet fashion products. Internet fashion business needs to implement the proper marketing strategies based on the results of the study.