• International Commerce and Information Review
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• v.10 no.4
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• pp.277-298
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• 2008

This study develops the market attractiveness assessment model and draws the strategic target markets and their corresponding exporting strategies through identifying the market positions in the dimensions of market attractiveness scores and market positional strength to achieve the innovative export promotion of Korean heavy electric industry and the resulting improvement and reversal of comparative-disadvantage position. In chapter 2, we analyze the stages of selecting target markets, the constructs and their measure variables of market attractiveness models, and the components and strategic policy implications of directional policy matrix. And in chapter 3, we identify the comparative advantage positions of Korean heavy electric industry in the global market through analyzing its trade structure, trends, balance, ratio-balance, and specialization index by the item and the region respectively. We find that the Asia/Pacific region is the most attractive export market of the Korean heavy electric equipment industry, the following important strategic target markets are the America, MENA, CIS/East Europe Regions in the order of their attractiveness and competitive position dimensions. In the mean time, the sub-Sahara Africa and West Europe region is shown to be the long-run-viewpoint target market requiring the innovation or divest strategies owing to their low attractiveness and the low market share of Korean exports.

• Journal of Communications and Networks
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• v.18 no.4
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• pp.610-618
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• 2016

A green cognitive radio network (CRN), characterized by base stations (BSs) that conserve energy during sleep periods, is a promising candidate for realizing more efficient spectrum allocation. To improve the spectrum efficiency and achieve greener communication in wireless applications, we consider CRNs with an long term evolution advanced (LTE-A) structure and propose a novel energy-saving strategy. By establishing a type of preemptive priority queueing model with a single vacation, we capture the stochastic behavior of the proposed strategy. Using the method of matrix geometric solutions, we derive the performance measures in terms of the average latency of secondary user (SU) packets and the energy-saving degree of BSs. Furthermore, we provide numerical results to demonstrate the influence of the sleeping parameter on the system performance. Finally, we compare the Nash equilibrium behavior and social optimization behavior of the proposed strategy to present a pricing policy for SU packets.

• 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.

• Health Policy and Management
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• v.11 no.2
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• pp.123-140
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• 2001

Hypotheses In health services research are becoming increasingly more complex and specific. As a result, health services research studies often include multiple independent, intervening, and dependent variables in a single hypothesis. Nevertheless, the statistical models adopted by health services researchers have failed to keep pace with the increasing complexity and specificity of hypotheses and research designs. This article introduces a statistical model well suited for complex and specific hypotheses tests in health services research studies. The covariance structure modeling(CSM) methodology is especially applied to regional relevance indices(RIs) to assess the impact of health resources and healthcare utilization. Data on secondary statistics and health insurance claims were collected by each catchment area. The model for RI was justified by direct and indirect effects of three latent variables measured by seven observed variables, using ten structural equations. The resulting structural model revealed significant direct effects of the structure of health resources but indirect effects of the quantity on RIs, and explained 82% of correlation matrix of measurement variables. Two variables, the number of beds and the portion of specialists among medical doctors, became to have significant effects on RIs by being analyzed using the CSM methodology, while they were insignificant in the regression model. Recommendations for the CSM methodology on health service research data are provided.

• Health Policy and Management
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• v.25 no.3
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• pp.174-184
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• 2015

This paper reviewed structure and current status of laws related to patient safety using patient safety law matrix to promote systematic approach in legal system of patient safety. Laws related to patient safety can be divided into three areas: laws for preventing; laws for knowing about; and laws for responding. In the case of Korea, gaps are especially prominent in the areas of laws for knowing about and responding. Patient safety law which will be enacted in July 2016 will fill the gap in the area of laws for knowing about. This law will be comprehensive law, covering the full spectrum of laws related to patient safety. However, after reviewing current patient safety law in Korea, the following drawbacks were identified: absence of code for grasping the current patient safety level; absence of code for mandatory reporting in patient safety reporting system; and absence of code for privilege about patient safety work product. Furthermore we need wider discussions about covering issues of open disclosure, apology law, coroners system, and complaint management system in patient safety law.

• Health Policy and Management
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• v.32 no.4
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• pp.380-388
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• 2022

Background: Emerging infectious diseases, such as Middle East respiratory syndrome or coronavirus disease 2019, pose a continuous threat to public health, making a risk assessment necessary for infectious disease control and prevention. Therefore, we aimed to investigate the risk assessment methods for infectious diseases used by major foreign countries and organizations. Methods: We conducted an investigation and comparative analysis of risk assessment and risk determination methods for infectious diseases. The risk assessment tools included the strategic toolkit for assessing risks, influenza risk assessment tool, pandemic severity assessment framework, and rapid risk assessment methodology. Results: The most frequently reported risk elements were disease severity, antiviral treatment, attack rate, population immunity, and basic productive ratio. The risk evaluation method was evaluated quantitatively and qualitatively by the stakeholders at each institution. Additionally, the final risk level was visualized in a matrix, framework, and x and y-axis. Conclusion: Considering the risk assessment tools, the risk element was classified based on the duplicate of each indicator, and risk evaluation and level of risk assessment were analyzed.

• Biomolecules & Therapeutics
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• v.32 no.6
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• pp.697-707
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• 2024

Tetraspanin superfamily proteins not only facilitate the trafficking of specific proteins to distinct plasma membrane domains but also influence cell-to-cell and cell-extracellular matrix interactions. Among these proteins, Epithelial Membrane Protein 2 (EMP2), a member of the growth arrest-specific gene 3/peripheral myelin protein 22 (GAS3/PMP22) family, is known to affect key cellular processes. Recent studies have revealed that EMP2 modulates critical signaling pathways and interacts with adhesion molecules and growth factor receptors, underscoring its potential as a biomarker for cancer diagnosis and prognosis. These findings suggest that EMP2 expression patterns could provide valuable insights into tumorigenesis and metastasis. Moreover, EMP2 has emerged as a promising therapeutic target, with approaches aimed at inhibiting or modulating its activity showing potential to disrupt tumor growth and metastasis. This review provides a comprehensive overview of recent advances in understanding the multifaceted roles of EMP2 in cancer, with a focus on its underlying mechanisms and clinical significance.

• Journal of Global Scholars of Marketing Science
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• v.19 no.2
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• pp.17-26
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• 2009

As the lifestyle of consumers changes and the need for various products increases, new products are being developed in the market. Each household owns various home appliances which are purchased through the choice of a decision maker. These appliances include not only large-sized products such as TV, refrigerator, and washing machine, but also small-sized products such as microwave oven and air cleaner. There exists latent correlation among possession of home appliances, even though they are purchased independently. The purpose of this research is to analyze the effect of demographic factors on the purchase and possession of each home appliances, and to derive some relationships among various appliances. To achieve this purpose, the present status on the possession of each home appliances are investigated through consumer survey data on the electric and energy product. And a multivariate probit(MVP) model is applied for the empirical analysis. From the estimation results, some appliances show a substitutive or complementary pattern as expected, while others which look apparently unrelated have correlation by co-incidence. This research has several advantages compared to previous literatures on home appliances. First, this research focuses on the various products which are purchased by each household, while previous researches such as Matsukawa and Ito(1998) and Yoon(2007) focus just on a particular product. Second, the methodology of this research can consider a choice process of each product and correlation among products simultaneously. Lastly, this research can analyze not only a substitutive or complementary relationship in the same category, but also the correlation among products in the different categories. As the data on the possession of home appliances in each household has a characteristic of multiple choice, not a single choice, a MVP model are used for the empirical analysis. A MVP model is derived from a random utility model, and has an advantage compared to a multinomial logit model in that correlation among error terms can be derive(Manchanda et al., 1999; Edwards and Allenby, 2003). It is assumed that the error term has a normal distribution with zero mean and variance-covariance matrix ${\Omega}$. Hence, the sign and value of correlation coefficients means the relationship between two alternatives(Manchanda et al., 1999). This research uses the data of 'TEMEP Household ICT/Energy Survey (THIES) 2008' which is conducted by Technology Management, Economics and Policy Program in Seoul National University. The empirical analysis of this research is accomplished in two steps. First, a MVP model with demographic variables is estimated to analyze the effect of the characteristics of household on the purchase of each home appliances. In this research, some variables such as education level, region, size of family, average income, type of house are considered. Second, a MVP model excluding demographic variables is estimated to analyze the correlation among each home appliances. According to the estimation results of variance-covariance matrix, each households tend to own some appliances such as washing machine-refrigerator-cleaner-microwave oven, and air conditioner-dish washer-washing machine and so on. On the other hand, several products such as analog braun tube TV-digital braun tube TV and desktop PC-portable PC show a substitutive pattern. Lastly, the correlation map of home appliances are derived using multi-dimensional scaling(MDS) method based on the result of variance-covariance matrix. This research can provide significant implications for the firm's marketing strategies such as bundling, pricing, display and so on. In addition, this research can provide significant information for the development of convergence products and related technologies. A convergence product can decrease its market uncertainty, if two products which consumers tend to purchase together are integrated into it. The results of this research are more meaningful because it is based on the possession status of each household through the survey data.

• Journal of Digital Convergence
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• v.12 no.5
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• pp.57-68
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• 2014

This article analyses frame transition of personal information leakage in Korea from 1984 to 2014. In order to investigate the transition, we have collected newspaper article's titles. This study adopts classification, text network analysis(by co-occurrence symmetric matrix), and clustering techniques as part of social network analysis. Moreover, we apply definition of centrality in network in order to reveal the main frame formed in each of four periods. As a result, accessibility of personal information is extended from public sector to private sector. The boundary of personal information leakage is expanded to overseas. Therefore it is urgent to institutionalize the protection of personal information from a global perspective.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.447-456
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• 2022

Korea's self-support program has constituted one of the most important workfare policy for the past 25 years. However, many pointed out the lack of field perceptions in the performance indicators of self-support program, such as overemphasis on the economic performance and uniform application regardless of regional types. This research intends to derive policy implications to improve performance indicators of self-support program by analyzing field perceptions, utilizing ISA(Importance-Satisfaction Analysis) method. Analysis on the difference between importance and satisfaction shows that the procedure was perceived more important than the consequences. It also reveals that current indicators were not satisfactory enough to reflect field practices. Finally, ISA matrix classified indicators into keep, improve, policy reconsideration area, and obvious differences were found by regional type. These findings suggest the importance of field-orientation in performance indicators, and by which, can serve as an exploratory study for the improvement of performance indicators.