• Journal of Fashion Business
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• v.22 no.5
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• pp.1-14
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• 2018

The purpose of this study was to define the purchase behavior of online luxury fashion brand consumers that soon became new luxury consumption trends. To investigate online luxury fashion brand consumer's purchase behavior, three variables were suggested based on advanced researches. These variables include economic value, item variety and pleasure. Purchasing luxury online was not common but as cross-border online shopping market became popular, consumers began to purchase luxury items through online shopping platforms. Preliminary surveys was conducted on 20~40-year-old consumers who have experience in online shopping for luxurious items. Total 238 questionnaires were used for analysis. By using SPSS, frequency analysis, factor analysis, reliability analysis, correlation analysis, regression analysis, t-test and ANOVA were conducted. The results of the study were as follow; first, consumer's purchase behavior appeared to be influenced by the order of pleasure of shopping, economic value and item variety. Repurchase intention appeared to be affected by the order of economic value, item variety, and pleasure of shopping. Second, online luxury fashion consumers perceived that risk does not affect purchase intention and repurchase intention. Third, as purchase intention increases, repurchase intention also increases. Fourth, shopping value, age and channel risk also indicated meaningful differences. As an early study of luxury fashion brand products purchased directly online, the academic significance can facilitate an overall understanding of consumer behavior such as usage motive, risk perception, behavioral intention.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.245-256
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• 2013

This study illustrates factors that determine consumer types based on ways in which they alternate between online and offline channels for searching and eventually buying their desired products. This study conducted an online survey targeting 1,040 consumers. As per the study, consumer types fall into five groups: 1) on-on type(online search${\rightarrow}$online buying), 2) off-off type(offline search${\rightarrow}$offline buying), 3) on-off type(online search${\rightarrow}$offline buying), 4) off-on type(offline search${\rightarrow}$online buying), and, 5) on-off-on type(online search${\rightarrow}$ offline search${\rightarrow}$nline buying). The primary factors that determine how the different consumer types switch between online and offline channels are price orientation, convenience orientation,, risk-aversion orientation, and channel familiarity. Although they feel cross-channel shopping can be cumbersome, the findings show that cross-channel consumers would gladly switch channels to buy cheaper and proven products. The findings of this study will be useful for businesses that have both online and offline channels and point out the theoretical aspects of the decision-making process as consumers switch between channels.