• Fashion & Textile Research Journal
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• v.15 no.1
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• pp.35-45
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• 2013

The purposes of this study were to segment the women's plus-size market by the types of store patronage, profile the segments, and examine the differences in satisfaction with clothing attributes and variety of plus-size apparels according to different segments. The questionnaires included the 7-point likert scales on store patronage, satisfaction, clothing involvement and body cathexis. Five body measurements were recorded by sales people, and the respondents also provided information on their weight, height and garment size in addition to demographic characteristics. Questionnaires were collected from 7 franchise stores in Seoul, Anyang, Daegu, and Cheonan during the months of February, 2011 to April, 2011. 210 questionnaires were distributed and 160 were returned. Excluding incomplete questionnaires, a total of 149 questionnaires were used in the final analysis. The cluster analysis based on store patronage identified four segments- major patrons of specialty stores, multi-channel users, regular store users, and internet shopping mall users. Significant differences were found among the four segments of women's plus-size consumers in terms of clothing involvement, age, occupation, education and clothing expenditures. Internet shopping mall user group were in overall less satisfied with several clothing attributes and variety compared to other groups.

• Journal of the Korean Home Economics Association
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• v.40 no.6
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• pp.159-171
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• 2002

Today, many people seek for their own personal character which is distinguished from another people and they utilize fashion coordination as the was of expression their own image. In addition, interest in electronic commerce and cuber shopping mall on the internet is increasing. For this reason, visual and interesting virtual fashion coordination system is needed. The purpose of this study is to propose possibility of fashion coordination by virtual 3D model. For this study, 1. We make a 3D standard body model by automatic generation. 2. We make 3D fashion item (sleeveless top and flare skirt) by automatic generation. 3. We combine 3D body model with fashion item by special point, grouping and gap being between body and clothes. 4. We make textile palettes and textile DB for texture mapping and rendering. As a effect of this study, 1. It can give the chance to coordinate clothes suitable for their own character and bodyshape on the cuber space more speedily and variously. 2. It can help fashion internet shopping mall company can save a time, expenses and tries to advertise their new products, offer service for customers and lead customers to purchasing. 3. It can accumulate a database of design and textile for using by fashion and textile industry.

• Journal of the Korea Society of Computer and Information
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• v.16 no.1
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• pp.211-218
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• 2011

Customer relationship management (CRM) comprises a set of processes and nabbing systems supporting a business strategy to build long term, profitable relationships with specific customers. Customer data and information technology(IT) tools form the foundation upon which any successful CRM strategy is built. Recently, the Internet rectifying this life, IT technology and the rapid development taking place over the Internet, customer relationship management, e-CRM has emerged. The purpose of this research is to investigate the important elements of e-CRM which in fluence the customer satisfaction and the brand loyalty in e-shopping mall. And this study is to investigate the relationship between customer satisfaction and repurchase intention and word of mouth intention.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.3
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• pp.366-370
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• 2003

In this research, we suggest a hybrid intelligent Web recommendation systems based on Web data mining and case-based reasoning (CBR). One of the important research topics in the field of Internet business is blending artificial intelligence (AI) techniques with knowledge discovering in database (KDD) or data mining (DM). Data mining is used as an efficient mechanism in reasoning for association knowledge between goods and customers＇ preference. In the field of data mining, the features, called attributes, are often selected primary for mining the association knowledge between related products. Therefore, most of researches, in the arena of Web data mining, used association rules extraction mechanism. However, association rules extraction mechanism has a potential limitation in flexibility of reasoning. If there are some goods, which were not retrieved by association rules-based reasoning, we can＇t present more information to customer. To overcome this limitation case, we combined CBR with Web data mining. CBR is one of the AI techniques and used in problems for which it is difficult to solve with logical (association) rules. A Web-log data gathered in real-world Web shopping mall was given to illustrate the quality of the proposed hybrid recommendation mechanism. This Web shopping mall deals with remote-controlled plastic models such as remote-controlled car, yacht, airplane, and helicopter. The experimental results showed that our hybrid recommendation mechanism could reflect both association knowledge and implicit human knowledge extracted from cases in Web databases.

• The Journal of Information Systems
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• v.16 no.4
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• pp.107-129
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• 2007

The purpose of this study is to examine the effect of logistics service quality and relationship orientation factors on customer satisfaction and loyalty in the electronic commerce context. Based on extensive review of relevant literature, nine components of logistics service quality(i.e. information quality, ordering procedures, ordering release quantities, timeliness, order accuracy, order quality, order condition, order discrepancy handling and personnel contact quality) and six components of relationship orientation(i.e. trust, bonding, communication, shared value, empathy and reciprocity) are introduced in this study. And a conceptual model is developed and five research hypotheses are empirically examined using structural equation modeling. The findings indicate that logistics service quality and relationship orientation are positively and significantly associated with customer satisfaction, and customer satisfaction is the antecedent variable of customer loyalty in the Internet Shopping Mall. In addition, a significant impact of logistics service quality on relationship orientation of the customer is revealed. Implications of these findings are discussed, and limitations of the study as well as further research directions are addressed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.11
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• pp.4320-4330
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• 2010

Blogs that allow two way communications are open to the public more than 20 million sites these days. The study tries to categorize and classify blogs based on the common representative factors. As blogs are changing dynamically, the study also tries to figure out key factors either for growing or perishing dynamics. The study develops the research idea from the independent variables such as contents factors and psychological factors to the controlling factors such as trust, attitude, and purchasing intention. The research found out that opinion leading and information seeking tendency are significantly related to the attitude to the internet shopping mall.

• Fashion & Textile Research Journal
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• v.12 no.2
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• pp.188-193
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• 2010

The purpose of this study was to investigate the online review writing motives of online shopping on repurchase intention and recommendation intention about fashion merchandise. The questionnaire was administered to 279 people who had experience in online shopping. The data were analyzed by utilizing factor analysis, multiple regression analysis and t-test. The results of this study were as follow. First, the online review writing motives were divided into three categories such as benefit pursuit/hedonic shopping value, information transmission and evaluation. Second, the consumer who has experience of writing review prefers to repurchase other products in that online shopping mall and to recommend those products more than the consumer who doesn't have that experience. Third, the benefit pursuit/hedonic and information transmission had an effect on repurchasing intention and recommendation intention.

• The Journal of the Korea Contents Association
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• v.8 no.3
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• pp.173-181
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• 2008

This study aims to prove the connection between satisfaction and re-visit intention of customers by examining shopping value and store image depending on product types purchased at Internet shopping malls. The finding of this study revealed that shopping value could be classified into hedonic and utilitarian value, while store image could be extracted into six dimensions such as reputation, product and information service, customer service after purchase, atmosphere, convenience, and safety. Both search goods and experience goods among store image factors were found to have stronger effect on utilitarian shopping value than hedonic shopping one. In addition, it was found that store image and shopping value had an effect on customer satisfaction and re-visit intention depending on product types, with a significant difference. These findings are expected to provide marketing complications for the understanding of differentiated market segments in the Internet shopping mall market, which is facing ever-growing market.

• The Research Journal of the Costume Culture
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• v.17 no.2
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• pp.255-269
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• 2009

The purpose of this study was to understand the internet fashion shopping behavior of men in their 20s, and to develop the internet shopping website with situation-based clothing coordination services for male comsumer in their 20s. The study was implemented through a normative descriptive survey method using a questionnaire. The survey was conducted in April and May 2006, and the sample group consisted of 280 men in their 20s from Busan and the provinces of Gyeongnam and Gyeongbuk. The data was analyzed by following statistical methods: frequency analysis, one-way-ANOV A, and Scheffe's test. The results are as follow: first, regarding internet the usage trend of male consumers in their 20s, it was shown that they usually spent more than 15 minutes and less than 30 minutes for internet shopping the price range from their experiences of clothing purchases was relatively high for they bought jackets or suits was relatively high. Second, an analysis on men's pattern of clothing purchase showed that many respondents purchase single items such as shirts or pants online. Third, in terms of their experiences of online purchase of coordinated clothes, 69% said "none." Yet, they showed positive assessment to a question whether they are willing to purchase clothes by using a situation-based coordination service or a 1:1 online coordination services. Fourth, the relationship between consumers' reactions to online situation-based clothing coordination services and respondents' demographic characteristics showed statistically significant different results in terms of occupation.

• Journal of the Korean Home Economics Association
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• v.38 no.2
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• pp.139-153
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• 2000

The purpose of this study is to prove asymmetric Consumer Information on Electronic Commerce. For this purpose, 93 internet shopping-malls was analyzed into three contents of consumer information. Major findings are as follows : First, the overall level of consumer information contents through purchase process was very low. The reason is that most electronic consumers were dissatisfied with consumer information provided by internet shoppingmall. Second, consumer information of purchase-stage was insufficient for electronic consumer. Especially most shoppingmalls did not provide Use-information and comparing information. This implies electronic consumer can't meet their consumer information needs, so they cannot make rational decision. Third, consumers were faced with asymmetric Consumer Information problem on electronic commerce. So consumer education for electronic commerce is needed.