• 한국멀티미디어학회논문지
• /
• 제12권5호
• /
• pp.688-698
• /
• 2009

인터넷을 이용하는 패션/코디 쇼핑몰은 그 시장이 매년 큰 폭으로 증가하고 있다. 하지만 대부분의 쇼핑몰들은 아직도 카테고리에 의한 상품 분류를 제외하면 특정한 의류를 찾을 수 있는 기능이 포함되어 있지 않아 사용자들이 불편을 겪고 있다. 본 연구에서는 여성복의 패션 코디네이션 시스템 구축 시 내용 기반의 방식 중 휴리스틱 기반 방식으로 시스템을 구축하기 위해 여성복의 특성을 가장 잘 나타낼 수 있는 속성들을 상속관계로 정의하고, 상품 관리자가 속성 값을 입력할 수 있도록 하였으며 가장 유사한 의류를 추천하기위한 방법을 소개하고 분석하였다.

• 한국멀티미디어학회논문지
• /
• 제13권9호
• /
• pp.1348-1356
• /
• 2010

정보통신기술의 발달로 인터넷을 이용하는 패션/코디 쇼핑몰은 그 시장이 매년 큰 폭으로 증가하고 있다. 패션/코디 쇼핑몰의 개수가 증가함에 따라 소규모 쇼핑몰 운영자들은 자신의 사이트에 방문자를 늘이기 위하여 첫 페이지에 다양한 이벤트나 어울리는 상의-하의로 치장을 하게 된다. 운영자는 매일 혹은 며칠에 한번 씩 첫 페이지의 내용을 수작업으로 바꾸어서 방문자에게 항상 신선한 느낌으로 상품을 소개한다. 온라인 패션 쇼핑몰에서 판매하는 다양한 상품들에 대하여 상의와 하의의 어울리는 정도를 자동으로 계산하여 표기할 수 있다면, 첫 페이지의 장식을 도와줄 수 있을 뿐 아니라 오프라인에서의 점원에 의한 추천을 대신하여 사용자들의 연계 구매에도 한층 편리할 것으로 기대된다. 본 연구에서는 코디 전문가가 상의-하의 의류에 대하여 휴리스틱에 의한 어울림 값을 속성별 매트릭스 형태로 등록하여, 실제 의류들에 대하여 상의-하의 의류를 자동 매칭해주는 시스템을 설계하고 구현하였다.

• 대한가정학회지
• /
• 제43권7호
• /
• pp.117-128
• /
• 2005

The purposes of this study were 1) to examine the conceptual structure of shopping value, fashion shopping mall attributes and emotions related to internet shopping, 2) to compare between hedonic consumers and utility consumers of fashion shopping mall attributes, emotions and purchasing intention and 3) to investigate the effects of shopping value, fashion shopping mall attributes, emotions and purchasing intention on purchasing behavior in internet fashion shopping malls. Data were obtained from 423 internet fashion shopping mall consumers who have bought products or visited an internet fashion shopping mall. The data were analyzed by using factor analysis, Cronbach's alpha, t-test and discriminant analysis. The results showed that shopping values perceived by internet fashion shopping mall consumers consisted of two factors: Hedonic value and Utility value. Internet fashion shopping mall attributes were composed of Visual information, Loading speed, Space composition, Product assortment, Checkout service and Help desk. Emotions were composed of Excitement Confidence, Displeasure and Uneasiness. There results demonstrated that hedonic consumers were more likely to perceive the factors of fashion shopping mail attributes, to experience various, emotions and to have more purchasing intention than utility consumers. Additionally, the findings suggest that shopping value is important in predicting the purchasing behavior of consumers' at internet fashion shopping malls. They gave insights into the promotion development of internet fashion shopping malls. Implications are drawn for the information useful to consumer behavior researchers and retailers of internet fashion shopping malls.

• 한국멀티미디어학회논문지
• /
• 제13권3호
• /
• pp.467-474
• /
• 2010

인터넷을 이용하는 패션/코디 쇼핑몰은 그 시장이 매년 큰 폭으로 증가하고 있다. 온라인 패션 쇼핑몰들은 매출을 증가시키기 위하여 신상품을 눈에 잘 띄는 곳에 배치하거나, 모델을 도입하여 상품을 돋보이게 표시하는 등 많은 노력을 기울이고 있다. 그러나, 온라인 패션 쇼핑몰에서 판매하는 다양한 상품들에 대하여 상의와 하의의 어울리는 정도를 자동으로 계산하여 표기할 수 있다면, 오프라인에서의 점원에 의한 추천을 대신하여 사용자들의 연계 구매가 한층 편리할 것으로 기대된다. 본 연구에서는 여성복의 패션 코디네이션 쇼핑몰 구축 시, 내용 기반 필터링 방식(Content-based filtering)의 기계학습을 이용하여 상의와 하의의 어울리는 정도를 자동 계산하여 추천해주는 시스템을 설계하고 구현하였다.

• 패션비즈니스
• /
• 제16권4호
• /
• pp.75-87
• /
• 2012

This study was to investigate the conversion intent of fashion store among college undergraduates. The conversion intent in internet shopping mall and local store was associated with store attributes and relationship quality. A random sample of undergraduate students completed a questionnaire that contained measure of Store attributes, Relationship quality, Conversion intent of fashion store. The results revealed that store attributes of local store were store comport/salesman service, product diversity, store location, price and the store attributes of internet shopping mall were product diversity/easy of navigation, store reliability, screen configuration, sales promotion. Also, the result founded that the conversion intent of fashion store is related to store comport/salesman service in local store and is related to product diversity/easy of navigation, screen configuration, promotion in internet shopping mall. Relationship quality is highly effected of the conversion intent of local store and internet shopping mall. We expect that this research results can be used as a basic material for another study and setting up the marketing strategies in fashion store.

• 한국의류학회지
• /
• 제35권4호
• /
• pp.476-487
• /
• 2011

This study investigates the effects of internet shopping malls attributes on purchase satisfaction, repurchase intention, and word of mouth intention of fashion consumers. Data were collected from 400 consumers who purchased fashion products through internet shopping malls for the last 3 months. The survey was conducted from August $6^{th}$ 2010 to September $20^{th}$ 2010. A factor analysis identified 7 dimensions of internet shopping mall attributes: (1) interactivity, (2) website appearance, (3) sales promotion, (4) trust, (5) transaction capability, (6) fashion products variety, and (7) information offerings. The results show that all the dimensions of the internet shopping mall attributes affect purchase satisfaction, repurchase intention, and word of mouth intention. In addition, there were significant differences in the perceived attributes among three different types of internet shopping malls; comprehensive mall, fashion specialty malls, and online market-places (open-markets). While, there was no significant impact on the purchase satisfaction, repurchase intention, and word of mouth intention by the e-tailer types.

• 한국의류학회지
• /
• 제34권5호
• /
• pp.765-774
• /
• 2010

This study investigates the effects of consumer innovativeness on e-loyalty mediated by shopping mall attributes and consumer satisfaction with the Internet. Data were obtained from 243 consumers who had bought fashion products through online shopping. Data were analyzed by using factor analysis, Cronbach's alpha, and path analysis using LISREL 8.53 program. The results of this study suggest that the consumer innovativeness, such as Internet-innovativeness and Fashion-innovativeness affect shopping mall attributes including Loading, Visual, Information, Variety, and Price/Fashion. These attributes and the shopping mall satisfaction partially mediated the impact of consumer innovativeness on e-loyalty of shopping malls through the Internet. Especially, consumer satisfaction was the most important determinant to build up e-loyalty for the online shopping of fashion products. The findings provide implications for e-retailers to develop strategies related to consumer innovativeness, shopping mall attributes, and the e-loyalty of shopping malls for fashion products.

• 한국의류학회지
• /
• 제30권11호
• /
• pp.1618-1625
• /
• 2006

The purposes of this study were 1) to identify dimensions of fashion lifestyles of men of digital generation and online shopping mall service attributes, and 2) to find factors affecting general satisfaction and intention to purchase at online shopping malls. Data were obtained from 632 men aged between 15 and 39 who were using the internet. Fashion lifestyles produced five factors, fashion leadership, shopping enjoyment, brand pursuit, personality pursuit, and practicality pursuit. Internet service attributes included three factors, check-out service, after delivery service, and product presentation service. Significant determinants of general satisfaction were after delivery service, check-out service, product presentation service, and purchase experience in order. For intention to buy, after delivery service, check-out service, product presentation service, purchase experience, practicality, and household income level in order were significant. Finally, general satisfaction of purchase was a useful determinant of intention to buy. Implications were given for improving internet shopping mall services from the perspective of online fashion mall marketers.

• 한국의류학회지
• /
• 제32권8호
• /
• pp.1274-1285
• /
• 2008

The purpose of this study is to investigate influences of perceived price dimensions and store attributes on store choice behavior. Three major retail formats, department store, discount store, and internet shopping mall in retail industry were compared with respect to store attributes and intention to purchase fashion products. Data were obtained from 427 consumers aged 25-49 years old. The results were as follows. (1) Multidimensional aspects of the price construct were identified: price-quality schema, prestige sensitivity, price mavenism, value consciousness, price consciousness, and sales proneness. (2) Store attributes included product assortment, quality per price (Q/P), service, and symbolic image in general. However, store attribute factors of three retail formats consisted of slightly different items. Department stores presented the highest level of mean scores on product quality, customer service, and symbolic images, while internet mall exhibited highest on product variety, information comparison, and quality per price. (3) Respondents presented high level of intention to purchase fashion products at internet mall, department store, and discount store in that order. (4) Purchase intention at department store was predicted by Q/P, service, symbolic image, prestige sensitivity, product assortment, clothing consumption, and age in order. Purchase intention at discount store was influenced by assortment & Q/P, symbolic image, clothing consumption, and sales proneness, whereas internet mall was predicted by product assortment, Q/P, service, price mavenism, and price-quality schema.

• 한국의류산업학회지
• /
• 제15권4호
• /
• pp.533-542
• /
• 2013

Fashion products are frequently purchased on impulse and are also one of the most popular product categories sold online. Online environment attributes can facilitate flow experiences that are described as an optimal psychological state reached during an engagement in activities (e.g., games and e-shopping). This study estimated the path model to examine the causal relationships among shopping mall attributes, flow, e-impulse buying, and consumer satisfaction for fashion products. A total of 598 usable questionnaires were obtained from college students who had purchased fashion products through the Internet. Data were analyzed by exploratory factor analysis, confirmatory factor analysis, and path analysis using SPSS 18.0 and AMOS 18.0. The results showed that e-shopping mall attributes (visual attributes and product attributes) significantly influenced e-impulse buying (fashion-oriented impulse buying and promotion-oriented impulse buying) which was mediated by the consumer flow experience and then influenced by consumer satisfaction. In the path model, the flow was stimulated by shopping mall attributes, the e-impulse buying was influenced by flow, and the consumer satisfaction was influenced by e-impulse buying. Flow was the most highly related to the fashion-oriented impulse buying, and followed by the relationship of the flow and promotion-oriented impulse buying in the context of e-shopping for fashion products. A managerial implication was discussed for fashion product e-retailers to develop strategies on visual attributes and product attributes that could stimulate and increase the consumer flow to trigger impulse buying as well as consumer satisfaction.