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: This study analyzes the influence of price, product and promotion on clothing impulse buying according to internet shopping mall type. This study conducted a survey of 346 male and female consumers in their 20s-40s who have experienced clothing impulse buying from an internet shopping mall. Respondents were selected using convenience sampling through an online survey conducted in August 2012. For statistical analysis, descriptive statistics, reliability analysis, χ 2 -test, factor analysis, and regression analysis where carried out using SPSS for Windows 12.0. The results were as follows. First, there were significant differences for consumer gender, age, marital status, and education on clothing impulse buying according to shopping mall type. Second, there were differences for the influence of each component (price, product and promotion) on clothing impulse buying according to shopping mall type. Third, it was identified that influence of components (price, product and promotion) on clothing impulse buying were in the following order: low price, freshness, prize promotion, scarcity, open market price discount, prize promotion, freshness, fashionability, low price in general shopping malls, payment term benefit, freshness, and scarcity in fashion SOHO shopping malls. This study provides information for consumer management and promotion strategies according to each shopping mall type by understanding clothing impulse buying by consumers and factors according to shopping mall type.

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As more famous and luxurious fashion brands enter the online market, the changes in the online market include those in the composition of merchandise, price image, and consumer behavior. Focusing on these changes, this study examines the relation of consumer price attitude and impulse buying behavior towards internet apparel purchases. Data were obtained from 377 males and females in their 20s-40s who purchased apparel from an internet mall. Convenience sampling through the internet was performed. Collected data were analyzed by descriptive statistics, factor analysis, t-test, ANOVA, Duncan test, and regression analysis using SPSS for Windows 12.0. The results of this study are as follows. First, four dimensions of consumer price attitudes towards internet apparel purchases were found that included price-quality/prestige, sale, value for money, and low price orientation. Second, the influence of consumer price attitude on impulse buying is significant. As the price attitude of price-quality/prestige orientation and sale orientation increases, impulse buying orientation is stronger. Third, there are partially significant differences on the sub-dimensions of consumer price attitude and the influence of price attitude on impulse buying by gender and age. This study will be of help to internet companies by providing information in regards to a price attitude-based marketing strategy and an adequate response to customer impulse buying.