• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.05a
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• pp.333-341
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• 2002

사례기반추론기법을 통한 유사상품의 탐색과 사용자 요구에 적합한 상품추천을 위해서는 다양한 요구에 부응할 수 있는 사례베이스의 구축이 우선되어야 한다 이에 본 연구에서는 인터넷 쇼핑몰의 상품추천시스템에서 번들상품구성문제를 표현하는데 적합한 사례표현기법을 개발하며, 유1.1사례를 추출하기 위한 유사도 척도의 개발에 연구의 첫 번째 주안점을 둔다. 본 논문에서는 번들상품추천을 위한 사례표현기법으로 속성-값(feature-value) 방식인 프레임(frame) 형식을 사용하고 있다 또한 유사도 측정을 위하여 각 속성(행사, 예산, 참여자 수, 고객 거주지 등)에 대하여 유사도 테이블을 작성하고, 이들 속성들의 가중합계방법을 이용하고 있다.

• Journal of Korea Multimedia Society
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• v.7 no.2
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• pp.145-155
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• 2004

It is very important for Internet searching systems to have user-friendly and rapid searching functions at the managers'point of view. The former finds optimized input parameters to support the various searching requirements of user. The latter has fast searching results which are effectively normalized to various input parameters having different attributes. In this paper we basically focus on optimized database construction not only to have searching functions with multiple attributes to support maximal various input requirements of the user but also to have more rapid searching functions. For this research, we suggest a modified association algorithm that takes into consideration to the support and confidence that is the criteria of the association mining rule in order to reflect the searching characteristics of internet shopping malls. We also propose the model management systems for rapid searching functions. The following results are from a processed simulation: the more the number of searching transactions of the users increase, the less the total relative average searching time becomes.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.8
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• pp.1274-1285
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• 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.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.11 s.158
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• pp.1618-1625
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• 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.

• Journal of the Korean Home Economics Association
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• v.42 no.9
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• pp.195-212
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• 2004

The purpose of this study was to analyze consumers' perceived risk and information search behaviors in internet shopping. For this purpose, survey was conducted on 302 consumers in their 20s and 30s who had internet shopping experience. This study found that consumers' perceived risk was significantly related to their gender, educational level, income, credit card use, period of internet un, number of internet shopping experiences, and purchased product. Consumers' search behaviors were also significantly affected by gender, age, educational level, income, period of internet use, and purchased product. In addition, a higher level of consumers' perceived risk was significantly related to the amount of information search on product attributes themselves rather than on general information search such as the number of sites or the number of brands.

• Korean Journal of Human Ecology
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• v.14 no.1
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• pp.155-165
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• 2005

The purpose of this study is 1) to investigate the effects of Internet apparel store attributes, shopping values, Internet usage, and consumers' characteristics on consumers' Internet apparel purchasing behavior; and 2) to identify the influence of Internet apparel store attributes, Internet usage, and consumers' characteristics on the Internet apparel purchasing behavior of hedonic or utilitarian consumers. The data were collected via an online survey. A total of 4,254 Internet users participated in this survey. Only 589 out of the users' reponses were used as a sample for this research, because those users had previously experienced Internet apparel purchasing. Factor analysis revealed five dimensions of Internet apparel store attributes: site design/navigation, promotion programs, trust, product assortment/ information, and customer service. Based on the respondents' shopping value scores, we identified them as hedonic or utilitarian consumers. Through multiple regression analyses, site design/navigation and promotion programs among store attribute variables, hedonistic or utilitarian shopping values, the number of years on the Internet, income, and educational level were found to be significant predictors of Internet apparel shopping frequency. Among them, hedonistic shopping values were the best predictor of Internet apparel purchasing frequency. Based on the Internet apparel purchasers' shopping value, purchasers were divided into two groups. For hedonic Internet apparel shoppers, the number of years on the Internet, educational level, sex, age, and income were significant predictors of Internet apparel shopping behavior. On the other hand, promotion programs among store attribute variables was the only significant factor that affects utilitarian consumers' Internet apparel shopping behavior.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.7
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• pp.1086-1097
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• 2009

Consumers have more choices for apparel products as e-shopping grows. This study examines the importance of apparel product attributes and classifies online apparel buyers into groups based on product attribute evaluation in various choice sets. For the empirical research, the online survey was conducted and Latent Gold Choice 4.0 was used for the choice-based conjoint analysis. Five consumer segments are found based on the choice selection of product attributes. The importance of product attributes (online shopping mall, brand, price, and style) and the preference of each product attribute level were different across segments. This research improves the knowledge of the purchasing behavior of online apparel buyers and provides proper attribute combinations of apparel e-shopping for each consumer segment.

• Journal of Intelligence and Information Systems
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• v.9 no.1
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• pp.23-51
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• 2003

With the recent expansion of internet shopping mall, the importance of intelligent products recommendation agents has been increasing. for the products recommendation, This paper propose case-based reasoning approach, and developed a case-based bundle products recommendation system which can recommend a set of sea food used in family events. To apply CBR approach to the bundle products recommendation, it requires the following 4R steps : \circled1 Retrieval, \circled2 Reuse, \circled3 Revise, \circled4 Retain. To retrieve similar cases from the case-base efficiently, case representation scheme is most important. This paper used OW(Object Modeling Technique) to represent bundle products recommendation cases, and developed a similarity measure method to search similar cases. To measure similarity, we used weight-sum approach basically. Especially This paper propose the meaning and uses of taxonomies for representing case features.

• 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.1349-1358
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• 2005

Generally apparel products were recognized as an incongruent product type which direct search was needed for. But nowadays apparel products were ranked as a second product type next to electronics in sale amount of internet shopping mall. Therefore more detailed study on which attributes of fashion products are more successful and suitable in internet shopping mall is necessary. This study was executed to analyze common attributes of successful apparel in internet shopping mall on the basis of real sale data, and then to help internet apparel marketer plan marketing strategies more efficiently. Common attributes of successful apparel products in internet shopping-mall in terms of product, price and promotion attributes were identified. 240 products which were loaded in bestseller section of internet shopping-mall for 8 weeks from November to December, 2004 were analyzed. The results are as follows. First, products ratio for women ($76.7\%$) were higher than for men($18.3\%$). And the amount of each apparel product types purchased by consumers were ranked in the order of leather/fur coat, woven coat, inner wear, jacket, T-shirts, pants, training wear, suit, knit wear etc. and basic style dominated in $74.2\%$. General brands ($69.2\%$) that had price competitiveness were preferred to famous designer brand, national brand and PB brand. Preferred level of price was ten thousand to fifty thousand won. For promotion skill, in order of just one product, product adding promotion product and package set were preferred. Regular price, less than $50\%$ off and more than $50\%$ off price showed no difference in preference. Product planning strategy for internet apparel marketer was followed on the basis of these results.

• Fashion & Textile Research Journal
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• v.12 no.1
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• pp.38-45
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• 2010

Cosmetics retailers would benefit from studies that examine which shopping-mall attributes can be manipulated to favorably affect consumer satisfaction and revisit intention at Internet. The purposes of this study were (1) to examine the dimensionality of shopping-mall attribute for cosmetics retailers, (2) to determine which dimensions of shopping-mall attribute were significant predictors of consumer satisfaction and revisit intention and (3) to find out the moderating effect of consumer satisfaction through shopping-mall attributes on revisit intention to buy cosmetics across the types of shopping-mall at Internet (i.e., total mall and specialty mall). Data were collected from 209 online cosmetic shoppers among high school girls. Factor analysis identified five dimensions of shopping-mall attributes at Internet, such as Convenience, Price, Loading speed, Sales promotion, and Service. Only two dimensions(i.e., convenience and service) were significant predictors of online shopper satisfaction in both total mall and specialty mall. The moderating effect of consumer satisfaction on revisit intention was significant in both two mall types at Internet. For total mall, price was a significant predictor through consumer satisfaction on revisit intention, while loading speed was a significant predictor directly on revisit intention for specialty mall. In light of the major findings, this study sets forth strategic implications for consumer satisfaction and revisit intention to buy cosmetics in the setting of electronic commerce.