• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.7
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• pp.1075-1084
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• 2007

The purpose of this study is to find out the important factors and efficient strategies concerning internet marketing. This study tries to examine satisfaction of the on-line consumers on internet shopping mall via fashion products. To fulfill this objectives, a survey was conducted from May 15 to May 30 in 2006, and an subject of study is men and women aged from 10s to 40s in purchase experience of the fashion merchandise to internet shopping malls. Data collected over the internet, and analyzed the 205 subjects. The statistical analysis methods was frequency analysis, reliability analysis, factor analysis, multiple regression analysis. The empirical studies were summarized as follows. First, internet shopping mall's fashion goods attributes(goods characteristics, aesthetic expression, variety of goods) significantly affect consumer's utilitarian shopping value. Second, internet shopping mall good's price attributes(economical efficiency of price, price reasonableness, price value, price information, price discount) significantly affect consumer's shopping utilitarian shopping value and hedonic shopping value. Third, consumer's utilitarian shopping value and hedonic shopping value are positively related to the internet consumer's shopping satisfaction.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.12
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• pp.1927-1938
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• 2008

Companies can build a close relationship by providing benefits that consumers want. As long relationships between consumer and company are stressed these days, it is very important for the growth and development of companies to assess what benefits consumers perceive and how they reflect them to their buying behaviors. Thus, this study aims to examine the relational benefits that consumers perceive in internet clothing purchase and how these perceived relational benefits affects relational commitment and customer loyalty. This study surveyed 343 male and female in their 20s and 30s for empirical analysis who have ever purchased clothing through internet shopping malls. Descriptive statistics, factor analysis, ANOVA analysis, Duncan test, and ${\chi}^2$-test are carried out using SPSS for Windows 12.0 for statistical analysis. The results are as follows. First, the dimensions of relational benefits perceived by consumers in internet clothing purchase are found 6 including customization, economic, psychological, social, shopping convenience, and informational. Second, consumers' perception of relational benefits significantly affect on relational commitment and loyalty, thus consumers with greater recognition of relational benefits have higher relational commitment and loyalty. Third, based on the dimensions of consumer's perceived relational benefit, consumers are categorized into 6 types: group perceiving social benefit, group perceiving economic/shopping convenience benefit, group perceiving shopping convenience benefit, group perceiving customization benefit, group perceiving informational benefit, and group perceiving psychological benefit. The group perceiving customization benefits have higher relational commitment and loyalty than the others. It is expected that this study will help internet companies establish customer relationship management strategies, which are needed to promote relationships with customers and to enhance customers' loyalty to internet shopping malls.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.1
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• pp.1-11
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• 2008

The purpose of this study was to investigate the effects of Internet shopping interests on the casual relationships among Internet shopping mall attributes, emotions, and impulse buying behavior. Data were obtained from 414 internet shoppers who had bought fashion products in internet shopping mall. The result showed that the highly interested Internet shoppers, when perceived the product attributes of Internet shopping mall, were more likely to feel positive emotions, and then were more likely to buy fashion products impulsively in Internet shopping. The less perceived the convenience of checkout & trust in Internet, the more negative emotions they had. However, the less interested Internet shoppers were more likely to buy impulsively fashion products with positive emotions when they perceived various product assortments, and were negatively influenced by the high speed of loading and promotions of Internet shopping mall. The findings provide implications of impulse buying behavior in Internet shopping malls for fashion products.

• Journal of Korea Multimedia Society
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• v.14 no.8
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• pp.1061-1069
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• 2011

With the development of information technology, online commercial transactions have been steadily increasing. However it is not easy to recommend the clothes in coordination with individual physical features. This paper presents a fashion coordination recommender system for women's clothes. The system includes the functionality of recommending clothes best-suited for customers in consideration of their individual physical features. It has also been designed to recommend clothes in vogue for those who are fashion-sensitive by considering the fashion trend of the times. Operated in an optional or coupling way, these functionalities of our system result in an intelligent fashion coordination system which recommends dress items to customers in various ways.

• 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.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.443-446
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• 2014

최근 인터넷을 이용한 의류 관련 쇼핑몰이 증가되고 있다. 그에 따라 이용자들도 오프라인 매장뿐만 아니라 온라인 쇼핑몰 매장을 즐겨 찾고 있으며, 이에 따라 온라인 쇼핑몰의 차별성이 중요시 되고 있다. 본 논문에서는 이러한 온라인 쇼핑몰의 차별성을 극대화하기 위해서 오프라인 매장의 장점을 살리고자 하였다. 오프라인 매장에서는 매장 직원에 의한 상의 하의 추천이 가능하고 이에 따라 매출향상 및 이용자의 만족도를 이끌어내고 있다. 이러한 오프라인 매장의 장점을 온라인에서도 그대로 실현하기 위해서 의류의 색상을 계산하여 나오는 색상 값을 색조합표를 기반으로 하여 가장 어울리는 의류에 대해 자동으로 추천해주는 시스템을 설계하였다.

• Archives of design research
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• v.19 no.2 s.64
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• pp.43-52
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• 2006

The most important issue the online shopping mall for clothes is facing in the rapid growth of the online shopping mali is the high rate of the return of the goods alter purchase. The high rate of the return leads to the dissatisfaction md lack of trust from the consumers in the online shopping mall for clothes, which in turn leads to the bleak prospect for the online shopping mall for clothes as a result of the consumers' dissatisfaction. Although a type of online shopping mall using the cyber-fitting technology has emerged recently, it has succeeded only in provoking a visual interest, for it is also not satisfying the demand of the consumers by falling short in providing information. Thus, this research seeks for the resolutions of the problems related to the user-oriented online shopping. First of the resolutions is the development of a new prototype which the consumers can easily access; second is the visualization of the information using the 3D virtual-reality of he prototype through interface, which will help the consumers to make more accurate judgments. In other words, this study seeks to provide a type of prototype of an online shopping mall that meets the demand of the consumers using the 3D avatars, unlike the unilateral and conventional malls out there.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06b
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• pp.83-87
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• 2010

스마트폰의 대중화로 사용자들의 상위 욕구를 충족시켜주는 개인화된 서비스의 다양한 어플리케이션들은 사용자에게 편의를 제공하여 생활을 향상시킨다는 점을 하나의 전제로 하고 있으나, 이를 구성하는 주된 역할을 수행할 서비스들의 요구사항을 부합시키는 스마트폰 성능이 현 기술에 적응적으로 대응하기에는 한계가 있다. 기존 3D VWS는 온라인 의류 쇼핑몰을 위한 시스템으로 사용자에게 의류 착용후의 모습을 제공하여 쇼핑몰 업무의 효율성 및 의류반품비용의 절감과 더불어 쇼핑몰 이용자에게 만족을 주어, 전반적인 온라인 쇼핑몰 이익 상승을 기대할 수 있게 한다. 하지만 3D VWS는 초고속 인터넷환경과 고사양 컴퓨터에서 원활한 서비스가 가능하기 때문에 스마트폰 환경에 이를 수용하고 동작시키기 위해서는 극복해야 할 많은 문제점을 가지고 있다. 이러한 문제를 극복하기 위해서 본고에서는 2D 이미지 확대/축소를 통하여 사용자에게 의류 착용후의 모습을 간접적으로 제공하는 2D VWS를 이용하여 스마트폰 기반 VWS 연구의 초석을 다지는데 도움이 되고자 한다.

• 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.

• Proceedings of the Costume Culture Conference
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• 2003.09a
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• pp.111-113
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• 2003

한국에서의 인터넷 이용자 수는 빠른 속도로 증가하고 있다. 2002년 6월에 발표된 KNP (Korea Netizen Profile)의 자료는 한국의 인터넷 사용자 중 여성은 약 42.9%이고, 20대가 약 43.6%를 차지한다고 보고하였다. 그러나 인터넷 쇼핑 방식에서는 소비자가 직접 실물을 확인하고 구매할 수 없으므로 의류 제품 구매 시 위험을 낮추기 위한 방안이 필요하다. 선행연구는 구매하는 의류의 품목에 따라 구매시 소비자가 지각하는 중요도가 다름을 보여준다. (중략)