• Journal of the Korea Computer Industry Society
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• v.4 no.12
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• pp.919-936
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• 2003

Nowadays Electronic Commerce shopping mall is welcomed more and more on the Internet. It is expected that Shopping mall systems come to be various and adaptable to complex requirements according to customers who have these various needs, but just show products list, instead. This thesis suggests various structures of shopping malls showing interface agent model using Case-Based Reasoning one of reasoning method of Artificial Intelligence instead of the method of prior EC shopping mall. 1 constructed case base by making index with shopping mall members and customers' private informations, and pursued difference from prior EC shopping malls by proposing to customers cases of other users' selection of products who have similar private informations with them.

• The Research Journal of the Costume Culture
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• v.10 no.3
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• pp.261-269
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• 2002

The purposes of this study were to investigate component of service quality and to determine significant factors on the service quality and buying intention of internet apparel shopping mall. The data were collected from 212 female adults using questionnaire. Using SPSS package, Cronbach's α, factor analysis, and multiple repression analysis were performed. The results could be summarized as follows. 1. The service quality of internet apparel shopping mall was perceived as reliability, advantage, responsibility, product assortment, tangibles, and rapidness. 2. For perceived risk, privacy risk, economic risk, delivery risk, size risk, and quality risk were investigated. The perceived risk except economic risk and web search ability had an effect on the service quality of internet apparel shopping mall. 3. The most of perceived risk, web search ability, and advantage of the service quality had an effect on the shopping intent of the internet apparel shopping mall. Based on the these results, marketing strategies were suggested.

• Journal of the Korea Fashion and Costume Design Association
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• v.9 no.3
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• pp.59-73
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• 2007

The purpose of this study is to find out the promotion methods for successful management of 'the fashion saho internet shopping mall' with a small capital. This study analyze the research reports, the news items, the documents on the internet shopping mall and data on promotion method which are offered by the hosting companies of the internet shopping mall like 'Cafe 24', 'Make shop', 'Whoismall' and the promotion consulting companies like 'Whoisad', 'Naver keyword shop'. And also analyze the data that interviewed the administrator of internet shopping mall and directly observed the famous internet shopping mall sites. Generally speaking, the promotion mix, marketing communication program can classify 'advertisement', 'publicity', 'personal selling', and 'sales promotion'. This study analyze the research materials on the basis of advertisement, publicity, personal selling, and sales promotion. The result are as follows. 1. The promotion methods at the stage of information the shopping mall site to the consumer are advertisement, and publicity. ${\bigcirc}$ The methods of advertisement are 'searching engine registration', 'advertisement of key word', 'advertisement of overture', 'advertisement of banner', 'advertisement cooperation marketing', 'advertisement of e-mail'. ${\bigcirc}$ The methods of publicity are using 'cafe', 'blog', 'Naver information site', 'community bulletin board', 'the fashion magazine or a press report' and 'cosponsorship'. 2. The main promotion methods at the stage of inducing the purchase are 'personal selling', and various 'sales promotion'. ${\bigcirc}$ 'Personal selling' at the shopping mall have an effect on the communication at bulletin board over the internet and the telephone. ${\bigcirc}$ 'Sales promotion' are attempted by 'VMD', 'deposit system', 'sale', etc.

• The Research Journal of the Costume Culture
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• v.16 no.5
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• pp.955-962
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• 2008

This article is about the naming method for fashion product in cyber shopping mall. For two months, the name of fashion product is listed and analyzed, from BEST 100 category in cyber shopping mall. SPSS ver.10.0 is used and frequency, spearman raw test and t-test are done. The fashion product names are arranged in naming method. There are four kinds of methods for fashion product naming; describing, associating, bundling and style numbering. Describing is most used method both cyber shopping mall. Between marketplace cyber shopping mall and merchant, there is significant difference in composition of naming. Bundling naming method is more used in marketplace cyber shopping mall, and describing and style numbering method is used often in merchant. The words which are composed the name of fashion product are divided in a single word and arranged. The words for describing are classified in noun and adjective. Noun is used for depicting textile and construction and adjective is for touch and image. There is no difference for using words between marketplace and merchant.

• The Journal of the Korea Contents Association
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• v.5 no.4
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• pp.45-53
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• 2005

The rapid diffusion of using internet and technical development becomes a driving force creating and developing the industries based on internet and made up an electronic commerce market which is a new form of business market. The object of this study is the business form between the consumer and the enterprise having a rapid growth nowadays. We classified enterprises' characteristic factors in internet shopping mall into product's characteristic factors on shopping mall, characteristic factors of the system on shopping mall and characteristic factors of the interaction between customers and shopping mall in the internet shopping mall. And then we investigated how these classified characteristic factors on shopping mall could influence on customer loyalty.

• The Research Journal of the Costume Culture
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• v.8 no.3
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• pp.360-373
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• 2000

The purpose of this thesis is to analyze the present conditions and problems of the Internet Fashion Shopping-Mall, grope for as active plan to the Internet Fashion Shopping-Mall as a strategic method of fashion industry. The fashion industry of Internet Electronic Commerce has good prospect, and I propose the following some strategic plans of Internet Fashion Shopping-Mall. On the basis of my study, as a means of technology supplement, Virtual Reality System, such as 3D System or the newest Electronic Dressing Room System to solve the problem of products'an actual feeling, should be needed for consumers to feel as they really put the clothes on. Second, to offer more diversity programs, such as consumer sensitivity program, additional service, fashion news, life information and so on, are needed for companies to come over again the consumers to connect to the shopping-mall site. And, to build more perfect security terms of payment systems, such as ICash, Disital Cash, Net Check, Internet Insurance and so on, should be introduced for consumers to pay and furnish their personal information. If these technological developments are realized, Internet Fashion Shopping-Mall products will be a great success.

• Agribusiness and Information Management
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• v.2 no.1
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• pp.31-73
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• 2010

On-line shopping mall has become a powerful marketing tool recently. On-line shopping malls provide information for consumers about goods and influence the decision-making process of purchasers. Therefore many local government made on-line shopping malls for advertising agricultural production in the region. However, in the face of problems related with effectiveness on shopping mall management, most of on-line shopping malls has been managing by private sector actually. This study aims to propose the plans for development of the on-line shopping malls. For this purpose, this study investigated current management status of the shopping malls and conducted case study on-line shopping malls.

• Asia pacific journal of information systems
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• v.11 no.4
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• pp.135-153
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• 2001

Internet business is transforming the current structure and way of shopping behaviors. As a frontier area of internet business, internet shopping mall industry is influenced by this trend. In this shopping situation, shopping objects and information on the object are separated, which makes consumers to decide on the contents and marketing function offered by the shopping mall. This study proposes an integrated model including the influencing factors on customer royalty in Internet shopping environments. Eight hypotheses are proposed based on previous research in Internet marketing and information systems. The results are quite supporting the model and hypotheses. The contents structure, marketing activities, and customer satisfaction in the internet shopping environment influence shopping experience, next purchases and reference to other people. The proposed model and empirical results would contribute to setting up strategy of Internet shopping mall industry, and also to future research in information systems and Internet marketing.

• Journal of the Korean Home Economics Association
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• v.40 no.6
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• pp.69-83
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• 2002

This study examined the effects of demographic variables on buying behavior, and investigated buyers'perceived value and risk perception of the internet shopping mall. The sample was collected by a department store in Daegu, and it included 1,732 individuals using the Cyber Mall. Research methods used in this study were simple statistics, t-test and ANOVA. The buyers perceived values through the internet shopping mall were classified into five categories-price, time, convenience, intrinsic attributes, reliability and the risk perception also was classified such as the overall purchasing process, quality of products, exposure of the personal information, delivery system, refund and exchange. The major findings of this study were 1) most important categories affecting their buying behavior were the value of convenience and following values in order were time, price, reliability, intrinsic attributes. 2) the risk perception were overall purchasing behavior, quality of products, exposure of personal information, delivery, and refund & exchange in order. 3) age of buyers, buying experience on the internet shopping mall, and gender were the important factors affecting the buyers'perceived value and risk. 4) the study also, showed that according to the variety of products, buyers perceived the value and risk differently, for example, the price was the most important perceived value in case of food product. The implication of the study is to strategically suggest how to enhance the buyers'perceived value and diminish perceived risk of different products.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.4
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• pp.573-585
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• 2008

Flow has attracted more interests in consumer behaviors, with pleasure and fantasy getting more important in shopping. "Flow" means the experience with which consumers feel as pleased and satisfied as in playing pleasantly, and the optimal experience they feel when they are indulged in an activity. The purpose of this study is to investigate the relationships among challenges, skills, flow experience, and future behavioral intention in online shopping malls. In addition, a 3D shopping mall and a 2D shopping mall were selected as the stimuli in order to examine the differences in flow experience in accordance with web site types. A survey questionnaire was developed and 700 data(2D group: n=380, 3D group: n=320) were used for analysis. Data were analyzed through structural equation model to explore effects of challenges and skills on flow. The results of this study are summarized as follows. First, the perception of higher challenges and skills led to positive flow experience and higher time distortion. Second, the higher the level of time distortion was, the higher the flow experience was. This means that a shopping mall will increase flow experience, if it is interesting enough to be unaware of time passing. Third, flow experience had a positive influence on future behavioral intention. Finally, in all variables except skills, the impact of 3D shopping mall is greater than that of 2D shopping mall, which means that web site types affect flow experience.