• Journal of Society of Preventive Korean Medicine
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• v.16 no.2
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• pp.53-65
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• 2012

Objectives : This study aimed to analyze the fundamentals of a Korea-China FTA and suggest strategies for Korean medicine market that correspond with each scenario selected from foreseen circumstances after the conclusion of the FTA through the scenario planning, which is one of management techniques. Methods : Four scenarios have been established by means of key questions : the scope of FTA, health care policies, and the combination of western medicine(WM) and Korean medicine(KM). Each scenario is defined as the Maximized Competitive Market, Neutral Market, General Completive Market, and Conservative Market. This study suggests brand marketing, extending of health insurance coverage, launching local network, and strategy for Korean medicine based health promotion programs. Results and Conclusions : Although Korean medicine could be prompted by the trade policies between countries, related studies are very limited. Therefore, more research is needed to suggest the detailed strategies for change of Korean medicine market through various strategic analysis tools.

• International Commerce and Information Review
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• v.16 no.4
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• pp.457-475
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• 2014

The purpose of this study was to analyze market competitiveness of Korean precision instrument parts in the chinese market. Korea-China trade has made rapid progress since establish diplomatic relations in 1992 and China become biggest trading partner of Korea in the present. For attaining the purpose of study, we collected related statistical data and used market comparative advantage index. From this analysis, following results were found. There are no items have competitiveness in the chinese market until the present time. However, item code 26041, 26034, 26022 are bound to be secure competitiveness in the chinese market in the near future and item code 26022 will emerge especially strategic item in the chinese market.

• International Commerce and Information Review
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• v.12 no.1
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• pp.225-250
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• 2010

The purpose of this study is to grasp the ripple effect of food industry, which is rising as the prominent industry of the future and has a high forward & backward ripple effect, on domestic economy and other industries through Industrial Input-Output Analysis and suggest the export connection method for the development of food industry in the future. As an analysis result, it was found that the effect on product inducement and employment inducement was very high. Like that, it is necessary to establish export connection strategy to escape from narrow domestic market and advance into world market in order to develop food industry, which has a high ripple effect on domestic market. For the export connection of food industry, it is possible to enlarge overseas market demand of domestic food industry by providing domestic food companies with export-concerned information such as overseas export market information and food market information, advertising world market for domestic food industry actively through the globalization of Korea food, securing food processing technology, removing export unavailability risk through the export insurance policy and advertizing the safety of food industry through the reinforcement of food safety control standard and penalty standard.

• International Commerce and Information Review
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• v.12 no.3
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• pp.223-242
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• 2010

Since the reopening of official relations in 1992, Korean and China have become major trading partners, apart from myriad exchanges in culture and other aspects of society. The subject of this study is to analysis on determinants for China market entry type of the Korean company. This article measure the effects on Korea exporter interests of Korea's trade with china. This paper investigates the determinants of export and FDI referring in entry type in the China's market of Korea company. There are 250 samples and 130 returns, 170 of them are analyzed for a entry competitiveness. This paper has there main a parts, Multiple regression result shows that the export entry competitiveness are positively affected by the product character and market character. However, The enterprise character and location character does not affect in the export competitiveness. Also, the direct investment entry competitiveness are positively affected by the market character and location character. However, The enterprise character and product character does not affect in the direct investment. Logit analysis result show that the direct investment entry does positively affected in CEO international mind and export entry does affect in more than rival competitive products. In addition, the export entry does positively affected in the customer taste diversity, political risk and economical risk, market environment instability.

• Health Policy and Management
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• v.20 no.3
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• pp.1-20
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• 2010

Objectives : This study is purposed to segment dental service markets with reflecting customer's preference and to suggest some marketing strategies applied to each segmented market. Methods : The customer's data collected from a series of online survey comprise such factors as expertise of dentist, courtesy, clinic size, equipment, price and distance, including some socio-demographics. A conjoint analysis and a clustering analysis with estimated coefficients were performed to find out some dental market segments for three dental service types such as dental caries, esthetic treatments and dental implants. Results : Three or four market segments for each dental service type are derived from the analysis, and subsequently market characteristics for each derived segment are explored. Furthermore, some dental marketing strategies for each segment are suggested for better management. Conclusion : A conventional way of developing dental marketing strategies can be improved, while specific customer's preference are responded.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.11
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• pp.1605-1614
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• 2002

The purpose of this study was to identify the consumers who use the level of price as the indicator of the product quality. In order to implement the purpose of this study, Jeans market had been segmented by the mixture regression model, and price response function was calibrated for each segment. Based on the types of price response function, segments were allocated into one of two groups; the group using the level of price as the quality indicator or the group not using the level of price as that. Then, characteristics of both groups were compared in terms of product attributes and demographic variables. Data were co]looted from the sample of the 23o undergraduate and graduate students in Seoul. For the data analysis, mixture regression model, conjoint analysis, and t-test were used. As a result, jeans market was divided into 5 segments. Segment 1,2,3 were allocated into the group not using the level of price as the quality indicator while segment 4,5 were done into the other group. Significant differences existed between two groups in product attributes, not in demographic variables. Mixture model and conjoint analysis were proved to be an effective set of tools in market segmentation.

• Journal of Digital Convergence
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• v.7 no.4
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• pp.127-140
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• 2009

This dissertation aims to empirically analyze the factors that determine the market competitiveness that would enable SaaS enterprises to survive. The contents of this dissertation includes; (l)analysis of factors that determine market competitiveness of domestic SaaS enterprises, (2)structural analysis of factors that determine the market competitiveness of SaaS enterprises on the their performance. Results of analysis of this dissertation are as follows. First, the factors that determine market competitiveness of SaaS enterprises were found to include (l)enterprise management competence, (2)competence for technological possession, (3)reliability and safety, (4)customer management competence, and (S)competence to cope with external environment of the enterprise. Second, the outcome of structural analysis of factors that determine the market competitiveness of SaaS enterprises on the their performance illustrated that (l)enterprise management competence and (2)competence for technological possession has structural relationship of imparting influence on the (6)enterprise performance by the full medium of (3)reliability and safety, (4)customer management competence, and (5)competence to cope with external environment of enterprise.

• KIEE International Transactions on Power Engineering
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• v.5A no.4
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• pp.403-411
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• 2005

At present, the Cournot model is one of the most commonly used theories to analyze the gaming situation in an oligopoly type market. However, several problems exist in the successful application of this model to the electricity market. The representative one is obtaining the inverse demand curve able to be induced from the relationship between market price and demand response. In the Cournot model, each player offers their generation quantity to obtain maximum profit, which is accomplished by reducing their quantity compared with available total capacity. As stated above, to obtain the probable Cournot equilibrium to reflect the real market situation, we have to induce the correct demand function first of all. Usually the correlation between price and demand appears over the long-term through statistical data analysis (for example, regression analysis) or by investigating consumer utility functions of several consumer groups classified as residential, industrial, and commercial. However, the elasticity has a tendency to change continuously according to the total market demand size or the level of market price. Therefore it should be updated as the trading period passes by. In this paper we propose a method for inducing and updating this price elasticity of demand function for more realistic market equilibrium.

• Korean Journal of Construction Engineering and Management
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• v.7 no.2 s.30
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• pp.162-170
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• 2006

Neural network analysis is expected to enhance the forecasting ability for the real estate market. This paper reviews definition, structure, strengths and weaknesses of neural network analysis, and verifies the applicability of neural network analysis for the real estate market. Neural network analysis is compared with regression analysis using the same sample data. The analyses model the macroeconomic parameters that influence the sales price of apartments. The results show that neural network analysis provides better forecasting accuracy than regression analysis does, what confirms the applicability of neural network analysis for the real estate market.

• Journal of the Korea Society of Computer and Information
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• v.12 no.4
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• pp.179-189
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• 2007

Every purchase a customer makes builds patterns about how products are purchased together. The process of finding these patterns, called market basket analysis, is composed of two steps in the Microsoft Association Algorithm. The first step is to find frequent item-sets. The second step which requires much less time than the first step does is to generate association rules based on frequent item-sets. Even though the first step, finding frequent item-sets, is the core part of market basket analysis, when applied to Online Analytical Processing(OLAP) cubes it always raises several points such as longitudinal analysis becomes impossible and many unpractical transactions are built up. In this paper, a new OLAP cube structures designing method which makes longitudinal analysis be possible and also makes only real customers' purchase patterns be identified is proposed for market basket analysis.