• The Journal of Society for e-Business Studies
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• v.12 no.1
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• pp.99-122
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• 2007

The rule based system is inference engine which can correspond quickly to new business model change and improvement requirement by dealing with the business know-how and expert knowledge as well as business process of enterprise and has been trying to apply to the various industries. As a part of application cases for rule-based system, we develop and implement the rule-based insurance product recommend and design system for the efficient decision making of insurance product in insurance industry which is sensitively affected by needs of customers, various kinds of product, and environment changes. The process of fuzzy inference of the developed system helps to recommend and design the proper Insurance product using the information of the present customer and the previous members. This approach is expected that it will be the core technology for the recommendation and design of the tailored insurance product by deciding and corresponding needs of various kinds of customer quickly in future insurance industry.

• KIISE Transactions on Computing Practices
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• v.22 no.12
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• pp.646-653
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• 2016

Outbound market is a rapidly growing global industry, and has evolved into a 11 trillion won trade. A lot of recommender systems, which are based on collaborative and content filtering, target the existing purchase log or rely on studies based on similarity of products. These researches are not highly efficient as data was not obtained in advance, and acquiring the overwhelming amount of data has been relatively slow. The characteristics of an outbound product are that it should be purchased at least twice in a year, and its pricing should be in the higher category. Since the repetitive purchase of a product is rare for the outbound market, the old recommender system which profiles the existing customers is lacking, and has some limitations. Therefore, due to the scarcity of data, we suggest an improved customer-profiling method using web usage mining, algorithm of association rule, and rule-based algorithm, for faster recommender system of outbound product.

• Journal of the Korea Society of Computer and Information
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• v.25 no.9
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• pp.53-62
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• 2020

Product recommendation services that have been researched recently are only recommended through the customer's product purchase history. In this paper, we propose the digital signage service through customers' behavior pattern analysis that is recommending through not only purchase history, but also behavior pattern that customers take when choosing products. This service analyzes customer behavior patterns and extracts interests about products that are of practical interest. The service is learning extracted interest rate and customers' purchase history through the Wide & Deep model. Based on this learning method, the sparse vector of other products is predicted through the MF(Matrix Factorization). After derive the ranking of predicted product interest rate, this service uses the indoor signage that can interact with customers to expose the suitable advertisements. Through this proposed service, not only online, but also in an offline environment, it would be possible to grasp customers' interest information. Also, it will create a satisfactory purchasing environment by providing suitable advertisements to customers, not advertisements that advertisers randomly expose.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.1
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• pp.83-93
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• 2015

The purpose of this study is to a study on the development of the DMZ tourism merchandising which use storytelling. also this study is to develop DMZ tourism imagery using the storytelling structured the subject matters based on DMZ. storytelling tourism is the oldest and the best factor of tourism activity among induced factors in these days. As a life of human being is upgrading, the importance of DMZ storytelling tourism merchandising will be magnified. Even tourism commercialization is able to make an achievement as an economical effectiveness to a developing country. Data were collected from 205 members of leading tourism business and job performance in travel agency. data were statistically analyzed using SPSS 20.0. Findings from this study suggest that local government and DMZ tourist business operators consider the storytelling for vitalizing authenticity to improve tourists' satisfaction. also this study is about DMZ tourism commercialization to achieve various opinions of several scholars.

• The Journal of the Korea Contents Association
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• v.11 no.8
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• pp.438-447
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• 2011

With the development of tourism the desire for a variety of tours for visitors was occurred. Accordingly, to meet the needs of tourists for the development of various tourism products is necessary. In addition to the occurrence of environmental problems needs to develop enviromental tourism products. In this study refocus on rapidly developed templestay and difference of life quality between before experienced templestay and after experienced templestay as product development of low-carbon green was to explore the possibilities. The findings were as follows. First, the increase of age, they satisfacted temples experience like meditation, tea ceremony and Buddhist cultural experience. 11 questions of life quality, 9 items showing significant differences in the quality of life in it will be useful temple stay was used.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.4
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• pp.1589-1594
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• 2013

V.M.D(Visual Merchandising Design) covers every space, environment, and visually stimulating factor. This includes not only the architectural appearance but interior, graphic sign boards, window display, layout, store appliances, lighting, and even the looks and service attitude that sales employees have and show to customers. V.M.D aims to display merchandise in multiple ways; to heighten brand images; to steadily lure many customers to the store. One of the characteristics that V.M.D has is, that this abandons the previous design concept which solely puts stress on luxurious interior-focused display; that this displays merchandise in a rational and systemic way and induces customers to buy products. In this regard, the objective of this study is to study brand perception and effect of V.M.D displayed in the stores, on customers, and thereby to present the concepts of V.M.D, suitable for display in the stores, which can be used continuously in the future.

• The Journal of Society for e-Business Studies
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• v.11 no.3
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• pp.35-51
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• 2006

Information visualization plays an important role to provide a conceptual comprehension of the information and should be adjusted and featured to reflect the characteristics of the domain to which it is applied. Product searching in e-Commerce is not an exception. In this paper, we present visualization techniques that are specified for effectively browsing the results of product searching. We considered visualization techniques including MapNet and Cluster Map and modified them to reflect the characteristics of the product domain. We consider two types of search queries: category searching and product property searching, and make it possible to include more detailed product semantics in their search criteria. We also provide a query refinement mechanism so that even users with rack of understanding the products may rewrite their queries for better results.

• Journal of Korea Port Economic Association
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• v.31 no.2
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• pp.103-114
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• 2015

The exchange rate volatility during the global financial crisis in 2007-2009 led Korean shipbuilding companies to face currency risk. The use of foreign currency derivatives to take a risk in financial exposure affects them significantly. This research analyzes how the use of foreign currency derivatives affects the Korean shipbuilding industry in relation to its foreign sales by company type and over time, especially before and after the crisis period. It is based on statistical data presented by KOSHIPA and KOSIC in 2001-2014. The results of the analysis show that there is a significant relationship between foreign currency derivatives and foreign currency exposure for all firm sizes and years, but no relationship between them overtime.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.349-359
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• 2022

At present, with the diversified development of the global economy, the trade of cultural products has become an important factor affecting the competition of comprehensive strength among countries. As a neighboring country to China, South Korea has a similar cultural development environment to China. As an important pillar of South Korea's economy, cultural product trade, its development experience has reference significance for China. This paper adopts literature research method, comparative analysis method and empirical analysis method to conduct research. The article firstly analyzes the export level of China and South Korea from the scale of the import and export of cultural products, and finds the difference between the import and export of cultural products between the two countries. Then, it compares and analyzes the insufficiency of China's cultural product trade structure and the advantage of Korea's cultural product trade structure. Finally, this paper uses the stochastic frontier gravity model to conduct empirical analysis and draws relevant conclusions about the trade potential of cultural products between China and South Korea. The research results show that: (1) the international competitiveness of cultural products trade in China and South Korea is relatively high, but the competitiveness of China's cultural products has been improved slowly; (2) compared with South Korea, China's cultural product exports are affected by trade inefficiency factors larger. (3) The improvement of government efficiency has a great effect on reducing the inefficiency of trade in China.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.12
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• pp.1956-1964
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• 2009

Understanding ethical fashion consumers in Korea is essential for the expansion of the ethical fashion market. This study analyzed ethical consumers in Korea in an examination of the factors that influence ethical purchase behavior and attitudes. The differences between ethical fashion consumers and non-ethical fashion consumers were investigated using eight variables (perceived consumer effectiveness (PCE), self-direction, benevolence, universalism, social responsibility, perceived behavioral control, face saving, and group conformity). Data were collected by means of a questionnaire through both on-line and off-line surveys from April 20 to June 7, 2009. Only the respondents knowledgeable of ethical products or ethical consumption were asked to complete the questionnaire. A total of 494 samples were used for analyses. Using independent samples t-test, the differences in each variable between two groups were examined. There were significant differences between ethical fashion consumers and non-ethical fashion consumers in attitudes toward ethical consumption behavior, behavioral intention, PCE, self-direction, universalism, social responsibility, and face saving variables. The factors influencing attitude and behavior intention were investigated by step-wise regression analyses. For ethical fashion consumers, the attitudes to ethical consumption behavior were largely influenced by PCE and benevolence. Social responsibility was the most predictable variable in guiding behavioral intention. Behavioral intention was also influenced by benevolence and attitude. Group conformity was found to be negatively correlated with behavioral intention. The findings of this study provide significant guidance for marketers of ethical fashion products. This study is the start of ethical fashion consumer research in Korea and can develop into variable subfields in the future.