• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.361-371
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• 1999

This paper is concerned with designing and implementing the Internet shopping mall by using virtual reality-driven avatar and web decision support system. Traditionally, the Internet shopping mall has been designed based on the combination of several hyperlinks, images, and tents. However, this sort of approach results in a lower performance because possible customers cannot make more accurate shopping decisions. To overcome this kind of pitfalls facing the current Internet shopping malls, we propose using a combination of virtual reality and web DSS. The main virtues of our proposed approach to designing the Internet shopping mall are as follows: First, the virtual reality technique is emerging as one of alternatives guaranteeing a sense of reality for customers' part and facilitating the complex process of shopping decision makings. Especially, the avatar, which is an artificially designed man working on the Internet, can make easy and absorbing the Internet shopping-related decision making processes. Second, the web DSS approach can provide an effective decision support mechanism for customers. Especially, we design a set of intelligent agents for the proposed web DSS. Experimental results with an illustrative example showed that our proposed approach can yield a new Internet shopping mall paradigm with which customers can benefit from a high level of decision support functions.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.2
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• pp.138-151
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• 2012

This study determines a consumer retail store choice by applying the Analytic Hierarchy Process (AHP) method for multi-criteria decision-making in the fashion retail industry. The study provides detailed and relevant information for management, marketers of fashion retail stores, and to improve competition between suppliers. Data was collected in February 2011 from questionnaires completed by 319 university students in Busan, South Korea. One of the major findings of this study was that consumer store preference was affected by the following factors in order of importance: product, image, service quality, and purchase facilitation. Brand image was assessed to be the most important of the evaluation elements, followed by individuality, style, and price. The results of rating the relative importance and priority of fashion retailers showed that department stores ranked most highly, followed by outlet malls, Internet shopping malls, brand malls, and discount stores.

• Journal of Korean Society for Quality Management
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• v.33 no.4
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• pp.21-41
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• 2005

This study analyzes the Internet utilization pattern of customer by comprehensively investigating the previous studies on the behavior pattern of customer in terms of Internet business. Based on the analysis, this study develops research framework that supports strategic decision-making for resource allocation in Internet business. Such research framework would be helpful for providing the typology of Internet business model that can be specialized by each industry. As a result of the simulation analysis, it was found that the optimal resource allocation portfolio providing maximum profits to the Internet bookstore involves large-scale investment on delivery service and customer support service which are the key factors for post-purchase customer satisfaction, regardless of the growth pattern or size of Internet bookstore market. Consequently, from the above analysis, the investment ratio of resources for the profit maximization of Internet bookstore was drawn. Conclusively, based on the comprehensive examination of the results, this study provided a framework for dynamic resource allocation decision-making, and proposed a management strategy which allows consumers to shop under more favorable environment, and simultaneously enables the Internet bookstore to accomplish management objectives such as continuous growth and profit maximization.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.03a
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• pp.361-371
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• 1999

This paper is concerned with designing and implementing the Internet shopping mall by using virtual reality-driven avatar and web decision support system. Traditionally, the Internet shopping mall has been designed based on the combination of several hyperlinks, images, and texts. However, this sort of approach results in a lower performance because possible customers cannot make more accurate shopping decisions. To overcome this kind of pitfalls facing the current Internet shopping malls, we propose using a combination of virtual reality and web DSS. The main virtues of our proposed approach to designing the Internet shopping mall are as follows: First, the virtual reality technique is emerging as one of alternative guaranteeing a sense of reality for customers part and facilitating the complex process of shopping decision makings. Especially, the avatar, which is an artificially designed man working on the Internet, can make easy and absorbing the Internet shopping-related decision making processes. Second, the web DSS approach can provide an effective decision support mechanism for customers. Especially, we design a set of intelligent agents for the proposed web DSS. Experimental results with an illustrative example showed that our proposed approach can yield a new Internet shopping mall paradigm with which customers can benefit from a high level of decision support functions.

• Journal of Information Technology Services
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• v.19 no.3
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• pp.75-87
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• 2020

This study empirically investigates the design factors that could engender positive impacts on consumers' user experiences with respect to trust, attitude, and intent to purchase a product promoted in the virtual reality (VR) e-commerce environment. Guided by previous literature, we specifically test the role of schema congruity due to the design of the space and virtual agent on trust, attitude, and purchase intention in the context of VR e-commerce. To test the effect of the congruency between user's schema and virtual environment design on user intentions, a 2 × 2 mixed ANOVA design experiment was conducted with place creativity (Low vs. High) as a within factor and workplace attire (Casual vs. Formal) as a between factor. The result showed support for the effect of schema congruity on trust, in that interaction of the two factors were found. Significant positive relationship between trust, attitude, and purchase intention was found. Further implications are discussed based on results.

• Knowledge Management Research
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• v.10 no.3
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• pp.17-33
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• 2009

The emergence of the Internet shopping agent enabled consumers to enjoy Internet shopping more easily and quickly. Especially, the role of Internet shopping agent is becoming more important following the information overload trend on the Internet in that the consumers can promptly obtain information about a certain product and its price among countless items on the Internet. As a result, consumers can now enjoy shopping more easily, compared to the offline shopping which requires a lot of efforts in comparing the products and purchasing them. Since the Internet shopping agents collect extensive information about the products' price, delivery period, detailed characteristics, etc., and present a comparison table containing the information to the consumers, the consumers can shop more quickly at lower price using such shopping agents. However, it has not been sufficiently studied about how the various functions of shopping agents actually support consumers' purchase decision making procedure in everyday life, and if they do, in which stages they play a supporting role in consumers' purchase decision making system. Therefore, this study conducts an empirical analysis on the role of the Internet shopping agents in the purchase decision making process of the consumers, considering the Internet shopping agent as a decision making supporting system. Moreover, it analyzes how the effects of the Internet shopping agent differs according to the consumers' knowledge level about the products.

• Journal of Information Technology Applications and Management
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• v.14 no.4
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• pp.97-120
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• 2007

Development of information technology and Internet brought big changes in information society. Quantity of information increased rapidly and various types of information were presented through diverse channels. This change brought an impact in electronic commerce environment. A large number of products are transacted in online market. And various search functions and product information are presented for supporting customer's decision making. This study examined the effect of external information on purchase decision-making in electronic commerce environment. An experiment was conducted to see the customer product review, unit sales, etc. on purchase decision-making process in online shopping mall based electronic commerce. As a result of study, external information referring to number of purchasing, positive product review, and reliability of information has a positive effect on purchase-decision. The significance of the study can be found in that it defined 1) external information has an effect on decision-making, 2) positiveness and reliability of product information showed that they have an influence on customer, and 3) when self opinion and other person's opinion are different, one is not satisfied with decision making process. The results of the study can be of practical use in the design and implementation of online shopping mall in electronic commerce.

• Journal of Fashion Business
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• v.12 no.5
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• pp.14-23
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• 2008

Recently, our society has been expanding with its consumption of brand products as it is referred to as brand product syndrome. In particular, the trend is that young consumers in 20$\sim$30s prefer the fashion brand product for their wedding. In our study, the lifestyle and shopping tendency of consumers who prefer the fashion brands are found out, and the influence impacted on the intent of repurchase of fashion brand product are clarified through the path analysis with the following outcome. First, for the group factors in life style of the consumers who prefer fashion brand products for wedding, it is shown with the self-advancement type, home striving type, economy striving type, high class brand striving type, and social activity type. Second, as for the factor of shopping tendency of the consumers who prefer fashion brand products for wedding, it appears for the factors of pursuing for enjoyment, pursuing for show off, pursuing for individuality, and pursuing for convenience. And third, when the life style group for high class brand type of consumers goes for shopping for fashion brand for wedding, it displays the shopping tendency for pursuing for enjoyment, pursuing for show off, and pursuing for individuality, and these factors influence the most in the intent to re-purchase of fashion brand goods.

• The KIPS Transactions:PartD
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• v.11D no.4
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• pp.967-974
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• 2004

An OLAP system is the decision support tool with which a user can analyze the information interactively in the various aspects. However, the traditional existing construction of an OLAP system has the inefficiency problem of increasing the time and cost caused by the frequent changes of the users requirements. In this paper, we analyse existing construction procedure of OLAP systems and propose a prototyping OLAP View based on the star schema which can help and guide the designer In supporting efficiently of users requirements. Through an implementation of S shopping mall using the OLAP View, we show that our proposal is able to support OLAP construction strategy and provide accurate understanding of data resources. With an OLAP View, we can reduce the required time and cost of implementing OLAP system.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1125-1128
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• 2013

본 논문에서는 여성들의 개별 패션 선호도로부터 패션 선호 패턴을 분석하고 이를 이용하여 고객에게 맞는 의류를 추천하는 모바일 의류 추천 시스템을 제안한다. 패선 선호관련 설문조사로부터 대응표본 T-검정 방법을 이용하여 선호 특성과 의류와의 유효한 관계를 찾고, 이를 바탕으로 선호 특성에 따른 의류 분류 기준을 작성하였으며, 카이제곱 검정 방법을 통해 선호 특성과 의류 사이의 연관성을 파악하고 선호 특성에 따른 선호 의류 추천을 위한 규칙을 도출하였다. 이러한 규칙을 활용하여 각 사용자의 구입의사 및 패선 선호 특성에 따른 의류를 추천해 주는 시스템을 구현하였으며, 이에 대한 만족도를 조사한 결과 10 점 만점에 7.1 점으로 나타났다. 본 논문에서 제안한 모바일 의류 추천 시스템을 통해 사용자는 선호 의류를 추천 받을 수 있으며, 이로부터 제품의 정보 부족으로 발생하였던 모바일 쇼핑의 문제점을 해결할 수 있을 것이다.