• Fashion & Textile Research Journal
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• v.14 no.3
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• pp.381-389
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• 2012

This study presents a marketing communication strategy from the aspect of new consumption orientation. Consumer preference on ads media, on-line ads media, and WOM usage were examined for new consumption orientation groups. This study was executed in a question survey format. A total of 182 questionnaires were obtained and data were analyzed by PASW 18.0 and AMOS 7. The results were as follows. First, 8 types of consumption orientation factors were revealed; 'impulsive purchase', 'promotion oriented', 'social contribution', 'passive conformity', 'innovative', 'conspicuous', 'rational', and 'environmental conservation'. Then 4 groups were formed, 'Rational & Positive', 'Conspicuous Conforming', 'Positive Social Interested' and 'Low Price Oriented'. Second, communication responses were analyzed through consumption orientation groups. The 'Rational & Positive' group responded positively to every type of advertising media (especially new media). The 'Conspicuous Conforming' and 'Positive Social Interested' groups preferred traditional media such as TV, radio, and magazines; in addition, the 'Low Price Oriented' group liked only online banner ads. For WOM preference, the 'Rational & Positive' and 'Positive Social Interested' group preferred verbal consumer information like WOM. In distribution types, the just 'Positive Social Interested' group revealed a significant result for internet shopping malls. The results from this study will help establish marketing communication strategies based on the features of consumption orientation.

• Korean Journal of Organic Agriculture
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• v.22 no.1
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• pp.25-46
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• 2014

Since organized living cooperative associations sold their environment-friendly agricultural products directly to independent consumers in the past, the general distribution channels such as wholesalers had difficulty in handling these products. However, the ratio of distribution via wholesale channel has been gradually increased as consumption of environment-friendly agricultural products has expanded. This study is to address vitalization of wholesale distribution for environment-friendly agricultural products by gathering previous statistical data and analysis. In addition, statistical analysis are conducted by utilizing surveys on forwarders, consumers for environment-friendly agricultural products. As a result, the products producers ship are distributed through dealers at producers sites, producers cooperatives, or food process companies, food companies, internet shopping malls, large-scale distribution companies, consumer groups such as living cooperative associations, direct outlets at consumers sites, or exports. Among the channels, the large-scale distribution companies and franchised special shops account for 47%, the general supermarkets 15.7%, and living cooperative associations 14.6% respectively. By utilizing the research results on producers and consumers, and the distribution weight by channels for environment-friendly agricultural products, the distribution channels for living cooperative associations, wholesale markets, and large scale distribution companies are compared and evaluated. As a result, the level of producers' and consumers' satisfaction for them is the lowest since the low selling price for producers and high distribution margins.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.439-440
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• 2013

As shopping malls and department stores become larger and larger, the parking lots for customers of the facilities provide broad spaces for massive cars. Though managers of the facilities support parking situation plates or numbers of guides in order to help customers, it requires additional costs for managing parking plates or guides. In this paper, we propose the parking system using smart devices. The proposed system exploits sensors and zigbee modules to collect the data of each parking space and shows the current state of the parking lot to customers with smart devices.

• Proceedings of the Korean DIstribution Association Conference
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• 2006.05a
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• pp.103-115
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• 2006

중국은 세계 무역기구에 가입하면서 세계경제에서 차지하는 위치가 강화되고 디지털 경제체제에 편입되면서 산업구조를 고부가가치 산업으로 개편하고 있다. 동안 상대적으로 외국기업에 대해 폐쇄적이었던 중국의 유통시장은 2006년부터 전면개방이 시작될 것으로 전망되고 있다. 그러나 중국전자상거래 시장에서 정보 기초화와 물류배송 금융체계의 문제는 나날이 안정화되어 온라인 구매환경은 나아지고 있으나, 오히려 해마다 인터넷쇼핑물 구매율의 하락은 온라인 쇼핑몰 상거래에 대한 불신 문제가 그대로 남아있음을 알 수 있다. 따라서 본 연구에서는 중국의 소비자수준에서의 온라인 구매가 활성화되지 못하는 주요 장애요인으로써 불신(distrust)을 제기하고자 하며 신뢰를 신뢰와 불신의 2차원으로 파악하여 각각의 차원(신뢰와 불신)이 마케팅 성과에 차별적으로 공헌하고 있음을 밝히고자 한다. 본 연구에서 선행변수로 상호작용, 지각된 평판, 정보유용성, 지각된 보안위험, 지각된 거래위험을 설정했으며 매개변수로는 신뢰와 불신을, 결과 변수로는 관계몰입과 구매의도로 구성하였다. 결과에서는 온라인 맥락에서는 신뢰와 불신의 선행요인이 온라인 쇼핑몰에 대한 관계몰입과 구매의도에 서로 차별적으로 공헌한다는 것을 밝혔다. 이는 기존의 신뢰를 2차원으로 구분하여 신뢰와 불신으로 분리하여 관리하는 것이 필요하다는 것을 시사한다고 할 수 있다.

• Journal of Fashion Business
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• v.9 no.4
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• pp.1-15
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• 2005

Interesting education which utilizes cyber visual and audio multimedia effects, we regard it as a very effective education but those programs are not prepared yet. So, the purpose of this research is to provide a new direction for cyber fashion education with the use of avatars as the multimedia factor to increase student's interest and understanding. First, we investigated the present situation of fashion cyber education and the present avatar usage situation online, and also we searched literature and the internet to investigate the general theory of design. Second, we used Adobe photoshop 7.0 to make avatars, then, we used Macromedia Flash MX to design the avatar on our web site, and to make it look more realistic. According to the research results, cyber fashion education is usually used as marketing in certain areas, and for middle school, and high school students it is mainly used as text and lecture videos. When searching for fashion sites that use avatars, we found that most fashion shopping malls use them. Because avatars can give visual effects and also increase interest and fun, they can increase concentration and understanding and can be effective in fashion cyber education.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.86-92
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• 2002

전 세계적인 인터넷의 급속한 성장과 더불어 아시아에서도 인터넷의 보급이 급속히 늘고 있다. 이러한 추세에 발맞추어 각 나라들은 정보통신이라는 사회적인 인프라에도 많은 투자를 하고 있다. 이러한 시점에서 인터넷을 이용한 상거래에 어떤 요소들이 영향을 미치는지를 연구하는 것이 중요하게 되었다. 물론 이전에도 많은 연구들이 있어왔지만, 대부분 한 나라에 국한된 연구들이었다. 이에 본 논문에서는 국내와 상황이 비슷한 싱가포르를 대상으로, 비슷한 문화를 가진 아시아지역의 나라들에 있어서 인터넷 사용현황과 소비자들의 태도에 영향을 미지는 요인이 무엇인지에 대해서 연구하고자 하였다. 본 연구에서 사용된 변수로는 지불위험, 사용능력, 가격, 쇼핑경험, 쇼핑몰 업체의 수준, 속도 등이며, 이 독립변수들이 소비자의 구매의지라는 종속변수에 어떤 영향을 주었는지를 살펴보고자 하였다. 결론적으로 본다면 싱가포르와 국내 소비자 태도에 영향을 미지는 상거래 요인은 아주 흡사하다고 할 수 있다. 단, 국내의 경우 쇼핑경험이 가장 큰 영향을 미지는 것으로 나타났지만 싱가포르의 경우에는 쇼핑몰 업체의 수준이 가장 큰 영향을 미치는 것으로 나타났다. 그러나 이러만 것은 그 나라의 여건에 기인딴 것으로 보여지며, 전체적으로 볼 때 비슷한 문화를 가진 아시아지역의 나라들에 있어서 인터넷 사용현황과 소비자들의 태도에 영향을 미치는 요인은 비슷하다고 결론지을 수 있다.

• Journal of the Korea Society of Computer and Information
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• v.23 no.10
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• pp.103-109
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• 2018

In this paper, we propose a dynamic document classification method which breaks away from existing document classification method with artificial categorization rules focusing on suppliers and has changing categorization rules according to users' needs or social trends. The core of this dynamic document classification method lies in the fact that it creates classification criteria real-time by using topic modeling techniques without standardized category rules, which does not force users to use unnecessary frames. In addition, it can also search the details through the relevance analysis by calculating the relationship between the words that is difficult to grasp by word frequency alone. Rather than for logical and systematic documents, this method proposed can be used more effectively for situation analysis and retrieving information of unstructured data which do not fit the category of existing classification such as VOC (Voice Of Customer), SNS and customer reviews of Internet shopping malls and it can react to users' needs flexibly. In addition, it has no process of selecting the classification rules by the suppliers and in case there is a misclassification, it requires no manual work, which reduces unnecessary workload.

• Journal of the Korean Data and Information Science Society
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• v.23 no.4
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• pp.777-785
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• 2012

Recently, the rapid development of internet and information technology has led to rapid changes in many industries. One of the most rapidly developing industries is the call centers. Almost all public institutions, financial institutions including insurance companies, and shopping malls, many call center staffs are proceeding with the consultation. However, lack of call center staffs is leading to a lot of customers complaints. The function of outbound call centers such as promotion and sale of products is also arising some problems due to insufficient number of consulting staffs. In this study, we propose the call center model for maximizing the rate of call connection time and suggest the best way of call centers model to be the channel distributions using the data mining techniques.

• Journal of Intelligence and Information Systems
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• v.9 no.3
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• pp.177-191
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• 2003

Recommender systems are a personalized information filtering technology to help customers find the products they would like to purchase. Collaborative filtering is the most successful recommendation technology. Web usage mining and clustering analysis are widely used in the recommendation field. In this paper, we propose several hybrid collaborative filtering-based recommender procedures to address the effect of web usage mining and cluster analysis. Through the experiment with real e-commerce data, it is found that collaborative filtering using web log data can perform recommendation tasks effectively, but using cluster analysis can perform efficiently.

• The KIPS Transactions:PartD
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• v.9D no.3
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• pp.523-530
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• 2002

With an advent of XML(extensible markup language), researches on electronic commerce based on XML have been conducted by many organizations and companies. Although these researches described electronic catalogs, they are not sufficient because in the catalogs, the product information are not classified properly, and are not organized hierarchically. In this paper, we analyse and classify information that can use to describe various products. And then, we suggest the modes that can describe the various products information through the complement of existing researches, and we apply it over several products on the Web. The uses of this model supports flexibility and facility to the product offers such as internet shopping malls.