• Health Policy and Management
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• v.11 no.3
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• pp.31-45
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• 2001

With an economic development and epidemiologic transition, the burden of disease due to chronic diseases and accidents is increasing. However, in most of developing countries, long-term care facilities are not available, therefore acute care facilities should provide both acute and long-term care services. It is also true in Korea. The demand for long-term care services needs to be estimated to establish the adequate supply system of health resources. This article introduces the reclassification methodology of inpatients' healthcare utilization to acute and long-term care services. All discharged patients from hospitals for one month were analyzed. The distribution of inpatients' hospital days were fitted to Chi-squared distribution by ICD disease categories, and they were grouped in five clusters. For each cluster, the lower and upper limit of classification criteria to acute and long-term care services were chosen. Summarizing all hospital days corresponding to acute and long-term care respectively, 24 to 28 percent of inpatient services fumed out to be long-term care services. The study results are consistent with those of the existing studies. They can be used practically in the allocation of long-term care resources.

• Journal of the Korean Academic Society of Industrial Cluster
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• v.3 no.1
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• pp.1-10
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• 2009

Rural Industrial Complex(RIC) is considered as one of the most important sources of off-farm income in Korea. But RICs has many problems since it was beginning development. In 2008, RICs in Gyeongsangbuk-do are 56 place, and are 836 corportations in RICs. Employee is total 20,109 persons. Competitive power of RICs weak location condition, small business, lack of infrastructure, institute. The main focus of this paper is to derive policy suggestion for Gyeongsangbuk-do RICs. We investigate the operation status of Gyeongsangbuk-do RICs. It is necessary that RICs be promoted in light of revitalization program.

• Journal of Navigation and Port Research
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• v.29 no.10 s.106
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• pp.897-906
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• 2005

The purpose of this research is to verify the strategic fitness and relevance of the distribution park for a hub port in Northeast Asia and to find a method to be a hub-port with a competitive edge. The strategic factor of distribution park development are policy, methodology and promotion method So these factors are analysed by structural equation model. The essential results of the research show that distribution park should be actually developed to produce value-added and to be port cluster.

• Asian Journal of Innovation and Policy
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• v.5 no.3
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• pp.293-314
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• 2016

Patent information as a proxy measure of technological capability has been utilized to establish technological strategies of firms. It is important to monitor what competitors' plans for direction on research and development in the initial stage of new industry. Cancer metabolism has been considered as a beacon of hope for cancer research because it is anticipated that the research field will play a central role in developing effective cancer therapies. There is little attention given to understanding the status quo of organizational configurations. By utilizing network analysis, six sub-groups of cancer metabolism were categorized and the relationship between an individual field and participants were analyzed based on cluster and entire network-level. Although the largest drug and biotech companies tried to take an initiative across the whole fields, the differences in technological capabilities between them was discovered. This paper attempts to improve the validity of the suggested procedure and is significant in that it looks at the entire structure of cancer metabolism research from a strategic perspective for the first time.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.29 no.1
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• pp.465-470
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• 2005

The purpose of this research is to verify the strategic fitness and relevance of the distribution park for hub port in Northeast Asia and to find a method to be a hub-port with a competitive edge. The Strategic factor of distribution park development are policy, methodology and promotion method. So these factors are analysed by structural equation model. The essential results of the research show that distribution park should be actually developed to product value-added and connected to industry park to be port cluster.

• Journal of Technology Innovation
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• v.10 no.1
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• pp.22-37
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• 2002

The importance of selecting the strategic research field is increasingly emphasized by research manager and technology policy-maker in perspective of the strategic allocation of R&D resources, employing the R&D personnel, and formulating technology policy. Among various methods for selecting the strategic research field, it is, however, very difficult to find the method that involves the path-dependant trend, and interdisciplinary nature of technology development. This study suggests modified technology cluster analysis (TCA) as a method for selecting strategic research field in order to include the recent technology trend in quantitative approach. TCA is the method that groups the near technologies of which the innovation pattern is similar. TCA model can be a very necessary method for multidisciplinary government research institutes (GRIs) which conduct multi research field with forward oriented positioning. It is more difficult for them to select the strategic research field mainly due to their diversity and intangibility of research scope. In this study, we applied this method to Korea Institute of Science and Technology (KIST) which represents the most adequate research institute in terms of research diversity and forwardness. As a result of the application, we found that seven main technology groups come from TCA analysis, coincide with the technology topics of KIST's recent R&D planning. Even though this method designed for multidisciplinary research institutes, but it also can be used for establishing the research strategy of other (private or public) Research Institute which have the similar mission and scope of research.

• Health Policy and Management
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• v.12 no.2
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• pp.1-22
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• 2002

Since the early 1980s scholars have applied latent structure and other type of finite mixture models from various academic fields. Although the merits of finite mixture model are well documented, the attempt to apply the mixture model to medical service has been relatively rare. The researchers aim to try to fill this gap by introducing finite mixture model and segmenting inpatients DB from one general hospital. In section 2 finite mixture models are compared with clustering, chi-square analysis, and discriminant analysis based on Wedel and Kamakura(2000)'s segmentation methodology schemata. The mixture model shows the optimal segments number and fuzzy classification for each observation by EM(expectation-maximization algorism). The finite mixture model is to unfix the sample, to Identify the groups, and to estimate the parameters of the density function underlying the observed data within each group. In section 3 and 4 we illustrate results of segmenting 4510 patients data including menial and ratio scales. And then, we show AHP can be identify the attractiveness of each segment, in which the decision maker can select the best target segment.

• Journal of Environmental Science International
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• v.15 no.10
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• pp.989-995
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• 2006

Using the principal component analysis and clustering Forest resources are consistently necessary in the future. It takes much time to produce and breed them. However it is difficult to do due to recent social situation. Considering global environment, forest policy should be considered as a global scale rather than a regional one. At least, the policy needs a national scale concern. In order to support forestry, elementary data are needed. In this study, forest characteristics in Ishigawa-gen province have been analyzed through main component analysis and clustering. The results are shown in fig.5 and fig.6.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.6
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• pp.1057-1068
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• 2001

The purpose of this study was to clarify service quality of apparel stores and find out related variables. The related variables are contained customer's characteristics (shopping orientation, demographic characteristics), store types and store patronage behavior in apparel store. The subjects selected for the final analysis were 363 females aged from 20 to 59 who lived in Taejon. And the data were collected using a questionnaire and analyzed through factor analysis, ANOVA, cluster analysis, regression, Duncan test, Tukey test. The results of this study were as follows; 1. Services quality of apparel stores consisted of seven dimensions ; ability of salesperson, belief in policy, convenience of facility, attractiveness of physical environment, convenience of using credit cards, convenience of space movement. and apparence of salespeople. 2. Shopping orientation consisted of four dimensions; recreational shopping orientation, rational shopping orientation. convenience-oriented shopping orientation, price-conscious shopping orientation. Shopper types consisted of three dimensions ; recreational-economical type shopper, rational type shopper, convenience-oriented type shopper. Significant relationships were found out between those shopper types and service quality. Significant difference was caused by demographic characteristics(age, marital status, education, income. job) except for places of residence and service quality. 3. The significant difference was found out between store types and service quality. 4. Service quality(ability of salespeople. belief in policy, convenience of facility, convenience of using credit cards. apparence of salespeople) were influenced store patronage behavior.

• Journal of the Korean Society of Industry Convergence
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• v.23 no.4_2
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• pp.683-691
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• 2020

In the era of super-aged societies, research and development (R&D) projects related to aging are very important agenda for establishing the direction of future R&D planning and technological competitiveness in the country. In order to respond promptly to this agenda, it is essential to establish a national-level convergence R&D policy. In this study, we utilized the global R&D funding project data from major nations (US, Europe, Japan), and then standardized them with the same fields. To analyze the current status of global R&D related to aging, we performed cluster analysis based on the co-occurrence matrix to explore convergence R&D areas in the US, Europe, and Japan related to aging. In addition, comparative analysis by country suggested that different points on the interdisciplinary area and the convergence of aging-related R&D by each country. These results provide fundamental understandings for the status of convergence in aging-related global R&D, the current technology trends, and establish the direction and strategy of R&D policy.