• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.9_10 s.146
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• pp.1285-1294
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• 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
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• v.27 no.9_10
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• pp.1036-1047
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• 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 Data and Information Science Society
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• v.15 no.1
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• pp.11-20
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• 2004

The purpose of this paper was to reveal Service Operation Strategy for the Internet shopping mall based on the types of internet users' market segmentation focus on the internet shopping behavior and e-service quality. In this paper, we examined internet shopping behavior and internet service quality factor depend on the types of internet users' group empirically. The empirical study result identifies the main decision factor depend on the types of internet users' group. On the basis of these result, Service Operation Strategy for the internet shopping mall has been suggested.

• Fashion & Textile Research Journal
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• v.15 no.5
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• pp.763-776
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• 2013

This study investigated the uncertainty, regret experience, and negative behavior intention of fashion consumers according to the types of internet shopping malls. The data was obtained from internet fashion consumers, and 394 responses were used in the data analysis. The statistical analysis methods were frequency analysis, factor analysis, reliability analysis, t-test, ANOVA, and regression analysis. As results, the uncertainty of internet fashion consumers was composed of two factors; information uncertainty and preference uncertainty. The regret experience was composed of function or service regret, suitability regret, and product regret. Also, the negative behavior intention was composed of purchase switching intention and purchase deferral intention. The information uncertainty of fashion consumers positively affected the negative behavior intention in all types of internet shopping malls (e.g., open market, integrated shopping mall, and fashion specialized shopping mall). In open market, the preference uncertainty negatively affected the purchase switching intention; however, the preference uncertainty positively affected the purchase deferral intention. In open market and fashion specialized shopping mall, the product regret of internet fashion consumers positively affected the negative behavior intention. In addition, there were partially significant differences in the factors of uncertainty, regret experience, and negative behavior intention by gender and marital status of demographic characteristics. The results of this study will provide useful information to the marketing strategies considering fashion consumer's negative emotion and behaviors according to the types of internet shopping malls.

• Fashion & Textile Research Journal
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• v.10 no.6
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• pp.917-925
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• 2008

The purpose of this study was to find out the relationship between consumer's perceived risks and return behavior on internet clothing shopping. Questionnaires were distributed to the consumers, total 517, males and females, aged from 20 to 39, who had experience of clothing purchasing through internet shopping malls. The results showed that consumer's return factors related to the perceived risks on internet shopping process. The results were as follows. First, factors of perceived risks in internet clothing shopping were categorized into product performance, account-related, delivery, economic, and social psychological risk. 5 consumer types of perceived risk were segmented by low-perceived risk group, product performance/delivery-perceived risk group, account related-perceived risk group, harmony with oneself/account related-perceived risk group, and harmony with others/economic-perceived risk group. Second, the consumer's perceived risks on internet shopping process affected one's return behavior. The factors of return was differentiated on the types of consumer's perceived risk. The relation between consumer's perceived risks and return behavior on internet clothing shopping was significant. Therefore company had better draw various strategies to manage consumer's perceived risk, in order to reduce the returns and improve consumer's satisfaction.

• Journal of the Korean Society of Costume
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• v.62 no.4
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• pp.46-57
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• 2012

Consumers currently show cross-channel shopping behavior between the Internet and store-based retail types when searching information and purchasing sensory products such as fashion items to reduce risks. As consumers compare both types of stores before making a purchase decision, the Internet retail type and store-based retail type started conflicting/competing each other as the combined retail evolution theory proposed(Kim & Kincade, 2006). The purpose of this study is to examine consumers' cross-channel shopping behavior between the Internet and store-based retail types and their importance and satisfaction with information provided by the Internet retail stores. This study employs a quantitative research method using a survey. Demographics, types of stores used for purchase, satisfaction with the type of stores, Internet shopping behavior, importance and satisfaction with product information in the Internet retail stores were asked. MANOVA and descriptive statistics were used to test hypotheses. The result shows that a majority of participants(36.2%) shows cross-channel shopping behavior between the two retail types. Also, most participants(72.4%) decide on their purchase and are satisfied only after cross-channel shopping between the two retail types. Participants were grouped based on their information search and purchase behavior. Significant differences among the groups were found in importance and satisfaction with product information provided by the Internet stores. In measuring participants' satisfaction, a majority of participants(42.1%) showed satisfaction with their purchase at store-based retail stores after information search via the internet, followed by the satisfaction with the purchase at the internet retail stores after information search at store-based retail stores(30.3%). Fifty one point nine percent of participants search information via the internet(vs.48% at store-based retail stores), and they especially look for fiber contents and design details with pictures(37.4%). The satisfaction with price information provided by the Internet retail stores is the highest (m=3.70 out of 5.0) among fashion product information followed by design information(m=3.48). On the other hand, size information, refund/exchange and fiber content information received low satisfaction scores(m=2.81, 2.71, 2.57 in turn). This research suggests the Internet retail stores should provide more variety of information in detail using technology and improving customer services. This study could provide the Internet retail stores a guideline to establish a satisfactory information delivery system.

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

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.456-463
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• 2001

Understanding and adapting to changes of customer behavior in internet shopping mall is an important aspect to survive in continuously changing environment. This paper develops a methodology based on decision tree algorithms to detect changes of customer behavior automatically from customer profiles and sales data at different time snapshots. We first define three types of changes as emerging pattern, unexpected change and the added/perished rule. Then, it is developed similarity and difference measures for rule matching to detect all types of change. Finally, the degree of change is developed to evaluate the amount of change. A Korean internet shopping mall case is evaluated to represent the performance of our methodology. And practical business implications for this methodology are also provided.

• Journal of Distribution Research
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• v.4 no.2
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• pp.75-91
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• 1999

This study is intended to help internet marketers by trying to segment consumer who had experience in buying clothing in internet shopping-malls. Concrete purpose of this study was 1)to segment by Buying Motives of Internet Clothing Buyer, 2) to identify demographic traits of segmented groups and 3) to identify buying behavior traits, internet shopping-mall choice criteria of segmented groups. The data of 500 respondents were collected by questionnaires in internet survey site. The results were as follows : 1) 5 factors; convenience, informational, hedonic, economic, easiness of refund were revealed by factor analysis, 2) 3 group types by buying motives; information-oriented, hedonic, convenience-oriented were identified by cluster analysis, 3) 3 groups were different in demographic traits, 4) goal-directed/experience-directed behavior and shopping-mall choice criteria of three groups were different. And then marketing implications were discussed.

• Fashion & Textile Research Journal
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• v.10 no.2
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• pp.198-208
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• 2008

The study applies lifestyles based on the list of values(LOV) to the college student-consumers, classifies them and compares traits. The study also looks into store images of internet fashion shopping malls and differences in purchasing behaviors. The results of the study show that there are three types, namely 'self-confidence and pursuit-of-success type,'family-oriented and responsible type', and 'passive and popular-culture-consumer type'. Among the elements constituting the store images of internet fashion shopping malls, there were considerable differences between groups on 'product and information service' element and 'convenience' element. On shopping mall purchasing behavior, the study confirmed some differences on 'information source', 'product purchase amount', and 'payment method' when purchasing a product. Furthermore, there were considerable differences on shopping mall satisfaction level and repurchasing intention between groups by lifestyle-type.