• Journal of Distribution Research
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• v.8 no.1
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• pp.69-89
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• 2003

This study aims to find out the relationship between purchase intention of fashion products and affecting factors. Measurement was not on the general Web environment but on the individual websites. It was modeled that the likeness of shopping malls affects purchase intention. Flow, which Csikszentmihalyi(1990) introduced as the state of optimal experience, was to affect purchase intention through the likeness of shopping malls. In addition, characteristics of fashion products were to affect purchase intention. A structural equation modeling was used for estimation. The result shows that the likeness of shopping malls affect purchase intention more than characteristics of fashion products. The difference from other studies is that the sign of Skills on Flow is negative. The effect of Flow on purchase intention is the largest and the next is the characteristics of the shopping malls. These results imply that internet shopping malls have to increase the likeness of shopping malls in addition to interests of the products. In addition, fashion consciousness was tested as a moderator by dividing the subjects into two groups of high and low fashion consciousness. The result shows that fashion consciousness works as a moderator for the variables affecting purchase intention.

• The Research Journal of the Costume Culture
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• v.12 no.1
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• pp.41-58
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• 2004

The purpose of this paper was to propose the efficient strategies of internet fashion shopping malls to success in the internet shopping mall market growing rapidly. Representative 5 internet fashion shopping malls - Halfclub, Fashionplus, e-Hyundai, Hansol CSClub and LGeShop - were selected and in-depth interviews were performed to analyze their marketing 4P's strategies. The results of this study are as fellows. Five shopping malls'main targets are women in twenties and early thirties. The price strategies are various according to shopping malls'character. In general, there are small amounts of discounts on new products(about 5%) which are sold by department stores. Shopping malls executed delivery of goods by cooperation with distribution companies and direct distribution of subcontract companies. Shopping malls are sending e-mails to the members as a promotion strategy. CRM(Customer Related Management) is partially implemented. Joint purchase and various events are conducted frequently. Shopping malls guarantee exchange and refund services.

• Journal of Korea Multimedia Society
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• v.9 no.9
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• pp.1184-1195
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• 2006

The Internet has brought many changes in our daily lives. Now the recognition on the Internet fashion shopping matt has increased and it requires scientific and systematic research to understand the Internet fashion marketing system more correctly and to strengthen the marketing activity at the virtual space. A big shortcoming of an Internet fashion mall is that the consumers can't wear clothes themselves. Currently there is no system to cover the shortcoming, It would be nice if a 3D avata wears the clothes on behalf of a consumer after inputting the information of physical sizes of a consumer. The consumers can select many clothes, accessories and even the background. After establishing a complete virtual fashion shopping mall, the consumers who sue the Internet fashion shopping mall could wear the clothes at an online shop establishing an online shopping environment. It will be a sole way to ensure the trust of the consumers. This paper studies the read in reflection by PC camera and sample the edge detection. Virtual fitting system that wears virtual fitting model some clothes is establishment.

• Proceedings of the Korea Society of Costume Conference
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• 2004.05a
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• pp.67-67
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• 2004

본 연구에서는 인터넷 쇼핑몰의 고객서비스 유형중, 제품관련 서비스와 사이트관련 서비스의 요인들을 고찰해보고, 각 서비스 요인별 고객만족도의 인구통계적 특성에 따른 차이를 알아봄으로써, 인터넷 쇼핑몰의 활성화 및 고객만족도 향상에 필요한 정보를 얻고자 하였다. (중략)

• The Journal of the Korea Contents Association
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• v.15 no.10
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• pp.481-494
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• 2015

The objective of this study is to verify the correlations among design quality of domestic internet fashion shopping mall and relations to specific shopping malls, and shopping mall users' intention to continue the relations. The main results were withdrawn as follows. First, it was found that some factors of internet fashion shopping mall design quality had significant positive influences on the qualities of relationship to users such as reliability, satisfaction and devotion. Second, it was found that all components of quality of customer relationship to internet fashion shopping mall such as reliability, satisfaction and devotion had significant positive influence on their intention to continue relations to the internet shopping mall. Third, graphic and multimedia quality of internet fashion shopping mall design components had significant positive influences on internet fashion shopping mall users' intention to continue relationship to the shopping mall. Empirical study of qualities on the relationship between internet fashion shopping mall design quality and its users, their intention to repurchase or recommend goods from the mall would be very valuable in a management point of view of small internet fashion shopping mall.

• 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.

• Proceedings of the Costume Culture Conference
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• 2004.04a
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• pp.95-96
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• 2004

본 연구의 조사 대상은 C2C전자상거래 경험이 있는 남ㆍ여 대학생만을 대상으로 총 194부를 설문 조사하였다. 설문지 구성은 C2C 전자상거래 인터넷 쇼핑몰 경험에 관한 문항(4), C2C 전자상거래 인터넷 쇼핑몰에서의 패션제품 구매경험에 관한 문항(6), 류영선(2002)의 연구를 토대로 C2C전자상거래의 특성요인에 관한 문항(13)을 구성하였다. 또한 고객 만족도 측정을 위해 보편적으로 많이 사용해온 Parasuraman et at.(1988)의 Servquai 서비스 요인의 5가지 요인들을 포함시켰다. (중략)

• Journal of the Korean Home Economics Association
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• v.40 no.1
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• pp.135-146
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• 2002

The Purpose of this study was to identify the sensibility elements and the evaluative dimensions of internet fashion shopping mall to supply optimal experience to the customer. First, association words for internet fashion shopping mall by open-ended method and sensibility-expression-adjective feeling as navigating personally 57 shopping mall dealing with fashion products were collected. Collected adjectives were ranked after making index by frequency and diversity. Then, correlation analysis was executed to extract independent adjective and their opposite words. Semantic differential scale was made for internet-fashion-shopping-mall-evaluation. After preliminary investigation with this scale, factor analysis was implemented. 12 sensibility evaluation words were extracted. Then, 200 subjects evaluated satisfaction degree for 8 selected shopping mall. To explain the hierarchy of internet fashion shopping mall, cluster analysis was applied. The understanding of sensibility element and evaluative dimensions of internet fashion shopping mall can be utilized efficiently as basic materials when marketer plans internet shopping mall design and makes marketing strategy.

• Journal of Korea Multimedia Society
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• v.13 no.3
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• pp.467-474
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• 2010

The market of Internet-based fashion/coordination shopping malls have been growing rapidly year by year. In accordance with this growth, Internet fashion shopping malls are also making a lot of efforts to increase their revenue by displaying new fashion products on a high spot or by having professional models wear them to make them more attractive to the customers. If online shopping malls have the functionality of automatically calculating the matching degree of lower and upper clothes, it could play a role of off-line shop assistants and provide a more convenient way of purchasing fashion products for customers. In this paper, we present a learning system adopting the content-based filtering method for online shopping malls, which automatically calculates the matching degree of lower and upper clothes and recommends the most well-matched pair.

• Proceedings of the SOHE Conference
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• 2004.12a
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• pp.71-71
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• 2004