• Journal of the Korean Society of Clothing and Textiles
• /
• v.27 no.9_10
• /
• pp.1036-1047
• /
• 2003

This study was carried out in the purpose of proposing internet marketing strategy which can make conversion rate higher through analysis of internet shopping behavior types. This study was executed in two stages; qualitative study, quantitative study. In the qualitative study, internet shopping behavior types were investigated through the In-depth interview and direct observation, and then in the quantitative study, differences of internet shopping behavior types according to consumer characteristics, product properties and shopping-mall types were examined. For qualitative study, 30 samples by focus sampling were inquired and for quantitative study, 334 data were collected through web survey. The results of this study are as follows: First, 7 Internet shopping behavior types of apparel were found through the qualitative study: cautious purchase by price comparison, searching purchase, special low price purchase, impulse purchase, prepurchase deliberation, information accumulation, recreation-oriented. Second, in relation to consumer characteristics, consumers that have many internet purchase experiences showed goal-directed behavior more and female did more special low price purchase behavior and impulse purchase behavior than male. Third, according to product properties, high price product led more cautious purchase by price comparison & prepurchase deliberation behavior and fashionable product led more information-searching behavior. In the case of low price and fashionable products, impulse purchase behaviors were showed more. Forth, according to Internet shopping mall types, category killer shopping mall visitors showed information search behavior, recreation-oriented behavior more.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.29 no.9_10 s.146
• /
• pp.1285-1294
• /
• 2005

This study was fulfilled in the purpose of proposing construction strategies of Internet shopping-mall through the analysis of consumer moving line in Internet shopping-mall. This study was executed in two stages: theoretical study, qualitative study. In the theoretical study, hypothetical Internet shopping behavior model were constructed. Five internet shopping behavior types of apparel : purchase, searching purchase, prepurchase deliberation, information accumulation, opinion leadership and recreation were constructed. Next, consumer decision process were extracted from previous studies and a hypothetical internet shopping behavior model was constructed on the base of consumer decision process and Internet shopping behavior types. And then, through the qualitative study, Internet shopping behavior types were identified and hypothetical model was confirmed after adjustment. For qualitative study, 30 subjects were sampled by focus sampling and investigated by in-depth interview and observation. Seven internet shopping behavior types of apparel were found by the qualitative study: cautious purchase by price comparison, searching purchase, special low price purchase, impulse purchase, prepurchase deliberation, information accumulation and recreation-oriented. On the base of these behavior types, Internet shopping behavior model was adjusted and completed. Finally, according to the results of this study, Internet shopping construction methods that made customer's loyalty high and marketing strategy of Internet shopping-mall were proposed.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.30 no.1 s.149
• /
• pp.71-82
• /
• 2006

The purpose of this study was to investigate the effect of lifestyle on shopping orientation and internet purchase behavior of Korean adolescents. Specifically, the study categorized the adolescents by their lifestyles and investigated the differences among the groups in regard to shopping orientation, clothing purchase behavior through Internet, and demographics. The subjects for the study were 319 middle and high school students. The data were analyzed by factor analysis, cluster analysis, ANOVA, Duncan test, and $X^2$ test. The results showed that there were three lifestyle groups: Internet/fashion interest group, study oriented group, and family oriented/self-confidence group. The shopping orientations had 6 factors, and Internet purchase behavior included 5 dimensions of clothing purchase types through Internet, apparel selection criteria, and Internet purchase experiences. The groups were significantly different in regard to their shopping orientations, clothing purchase behavior through Internet, and demographics. For example, Internet/fashion interest group ($47\%$) tended to shop impulsively online. When purchasing clothing products online, the group considered the external factors, such as advertisements and fashion more important.

• Journal of the Korean Home Economics Association
• /
• v.42 no.1
• /
• pp.153-166
• /
• 2004

The purpose of this study was to examine the internet shoppers' new purchase behavior, to examine the general purchase behavior(i.e., purchase pattern, preference), and to examine the related factors to promotion strategies(i.e., e-mail, event) of internet shopping mall. Focus group interviews were done with 40 internet shopping-mall users on May, 2003 for the data collection. Data were analyzed by content analysis and descriptive statistics(i.e., frequency, percent). The results of this study were as following. First, competitive price, accurate product and service information and convenience were considered as important factors in the new purchase behavior among internet shoppers. Second, the more frequent purchasing time through the internet shopping mall were on weekdays rather than weeekends and the most preferred information search engine were category type, item type, and price type in order. Third, e-mails from internet shopping mall were most likely opened by internet shoppers, that is to say, e-mail can be the efficient communication tool as well as the possible promotion strategies. Specifically, the title of email was considered as an important factor to approach the target consumers.

• Korean Journal of Human Ecology
• /
• v.6 no.1
• /
• pp.1-13
• /
• 2003

This study attempts to investigate attitude toward internet shopping. internet purchase behavior. and purchase satisfaction of college student consumers. The data used for this study were collected from 361 college students who is living the southern part of Korea. and purchased goods and services on the internet at least one time during the previous 12 months. in Autumn, 2001. Data analysis were carried out using SAS package. Statistics used for data analysis were Cronbach'$\alpha$, Pearson's correlation analysis, and multiple regression. The results were summarized as follows : First, college student consumers in general are favorable to the internet shopping. The variable that has significant influence on the attitude toward the internet shopping was the web searching competence. Second, the variables that have significant influence on the internet purchases were the number of site visits, internet using time, credit card possession. personal income, and web searching competence. Third, the variables that have significant influence on the amount of internet purchases were personal income, internet using time, number of site visits. and credit card possession. Fourth, the variables that have significant influence on the satisfaction with internet shopping were internet shopping attitude and web searching competence.

• Journal of the Korean Society of Costume
• /
• v.54 no.7
• /
• pp.15-26
• /
• 2004

The internet is one of the modern facilities that has been diffused very rapidly in recent years and tremendously influenced on our life. Although the adolescents are major users of internet, the literature in clothing and textile area has not addressed the relationships between adolescents' internet use and clothing behavior, The purpose of this study was to examine the differences of adolescents clothing behavior. purchase evaluative criteria, and information source according to the use of internet. Descriptive statistics, t test, Analysis of Variance (ANOVA), and Duncan test were employed to analyze the data collected from the convenience sample of 572 middle and high school students in Gyeongnam, Korea. The use of internet was partially related to the adolescents' clothing behaviors. purchase evaluative criteria. and information source. Also, it was observed that the frequency and purpose of fashion website tended to be related more than the amount and purpose of internet did. Marketing implications from the results were suggested.

• The Research Journal of the Costume Culture
• /
• v.9 no.4
• /
• pp.602-615
• /
• 2001

The purpose of this study was to investigate the relationships between life style and clothing purchase intention and purchase criteria in internet shopping-mall of male and female consumers. The subjects were 275 internet users (male: 164, female: 111). The results of the study were as follows. Five factors of life style derived by factor analysis:'Digital Orientation','Economy Orientation','Positive Activity','Fun Orientation', and'Home Orientation'. The dress types to be based on the purchase intention in internet shopping-mall was classified into four dimensions by factor analysis: Casual Wears & Single Item Clothes','Formal Wears','Miscellaneous Goods', and'Underwears ＆ Night Clothes'. Internet users showed relatively high purchase intention in casual wears & single item clothes and miscellaneous goods. Clothing purchase intention in internet shopping correlated significantly with home orientation in males, and with digital orientation in females. Subjects high in fun orientation placed importance on design as clothing purchase criteria. Males high in positive activity placed importance on price, color, sewing, brand, and wearing appearance. Females high in digital orientation believed design, color, material, refundment condition, and fashionability were important as purchase criteria. The level of digital orientation of dress purchasers in internet shopping-mall was higher than that of non-purchasers in case of males, and that of fun orientation was higher than that of non-purchasers in case of females. The present findings suggest that life style such as digital orientation and home orientation appeared to be important in predicting the clothing purchase intention in internet shopping mall.

• Fashion & Textile Research Journal
• /
• v.11 no.1
• /
• pp.41-47
• /
• 2009

The purpose of this study was to investigate the main factors of return and consumers' return behavior types and also to find out the characteristics of consumer's purchasing behavior according to consumer's return behavior type. The Questionnaires was administered 315 males and females, who had experience of clothing purchase and return in internet shopping mall. The results were as follows. First, the factors of return were classified into quality of product, delivery, service, consumer's change of mind, and impulse buying. Second, 4 types of consumer's return behavior were categorized into habitual, dissatisfaction in product quality, dissatisfaction in delivery, and impulse buying. Third, Consumer's return behavior types were not significantly related to the frequency of purchase, information search. However there were significant differences in satisfaction of return process, dissatisfaction after return, and negative word of mouth according to the consumer's return behavior types.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.8 no.3
• /
• pp.87-100
• /
• 2006

The objectives of this research were to investigate the relationship between purchase behavior and consumer dissatisfaction of cosmetics at internet shopping malls, and to examine how the purchase behavior and consumer values influence the consumer dissatisfaction. Subjects were 212 females in Seoul who had experiences of cosmetic shopping at internet shopping malls. Consumers showed highest dissatisfaction when the purchased cosmetics were different from the products showed at internet shopping malls. The dissatisfaction with consuming system was higher than buying system or transporting system. The higher the expense and frequency of cosmetic purchase, the lower the consumer dissatisfaction of buying system. Females of 18 to 24 years old purchased color cosmetics more than females of 25 to 39 years old did. Females of 25 to 39 years old purchased functional skincare products more than females of 18 to 24 years old did. The cosmetic purchase expense of older groups was higher than that of younger one. The more consumers spent time on the internet, the more frequent they bought the cosmetics at internet showing mall. Consumers were most willing to buy basic skincare products at the internet shopping mall (42.9%). The consumer dissatisfaction with cosmetics at internet shopping malls was influenced the most by the happiness value(-) and the next by the responsible value, the frequency of cosmetic purchase at internet shopping malls(-) in order.

• Korean Journal of Human Ecology
• /
• v.19 no.6
• /
• pp.1003-1012
• /
• 2010

This study analyzed purchase behavior according to the risk perceptions when customers buy Cosmetics at Internet Shopping Malls. Participants were 232 women in their 20s and 30s with more than one buying experience at an internet fashion shopping mall. Data were analyzed using factor analysis, Cronbach's analysis, cluster analysis, one-way ANOVA and a Duncan test. Results were as follows. Firstly, five factors of risk perception were identified: These were the payment risk, service risk, quality risk, price risk and experience risk. Secondly, customers of internet shopping malls could be categorized into three groups: A low risk perception group, a payment risk perception group and a high risk perception group. Factor analysis showed significant differences between these groups( p<.001). Thirdly, purchase behavior based on the purchase standards, purchase items, information searching were investigated according to the different groups of risk perception of internet shopping malls and results again significant differences between groups (p<.05, p<.001).