• Proceedings of the Korea Association of Information Systems Conference
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• 2005.12a
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• pp.185-193
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• 2005

본 연구에서는 항만클러스터에 대한 온라인과 오프라인의 융합요소를 도출하고 이러한 융합요소가 항만클러스터의 성공에 어떠한 영향을 미치는가를 분석하였다. 온라인과 오프라인의 융합요소에는 첫째, 정보화, IT화, e-transformation화 수준 등을 포함하는 e-비즈니스화 정도 둘째, B2B 전자상거래 수준 셋째, 관련 온라인기업들의 활성화 수준, 넷째, 항만클러스터에 특화된 e-비즈니스 지원 산업 수준 그리고 마지막으로 E-Logistics 수준 등이 있다. 항만클러스터의 오프라인 요소와 온라인 요소가 융합됨에 따라 얻어지는 효익항목, 항만클러스터 SCM 가치사슬 구성요인에 대한 항목, 그리고 항만클러스터에 속한 기업이 얻을 수 있는 성과항목에 대한 요인을 추출하기 위하여 요인분석을 행하였으며, 요인분석에서 추출된 온라인과 오프라인의 융합요소가 거시적인 측면에서 항만클러스터 SCM 가치사슬 요인과 미시적인 측면에서 클러스터내의 개별기업 성공에 어떠한 영향을 미치는가를 분석하기 위하여 회귀분석을 수행하였다.

• The Journal of the Korea Contents Association
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• v.14 no.4
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• pp.346-354
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• 2014

This study aims to analyze the effects of economic development on financial development associated in industry dependence on external finance or industry growth opportunities. The macro and microeconomic empirical results are as follows: (1) financial development play an important role in economic development, (2) especially, financial development related in industry growth opportunities is the critical and important factor in industrial development, (3) the relationships between industry dependence on external finance and industrial development are different depending on the model or the analysis period. These results mean following. First, Leading financial strategy preparation need for industrial development. Second, It is important the effort to catch well-timed industry growth opportunities.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.75-80
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• 2020

This study verified the moderating effect of brand familiarity and openness in the relationship between micro and macro-national image in Chinese market and brand attitude. The research methods used in this study based on previous studies, a research model was established, related research hypotheses were set up, and Chinese consumers were selected as survey subjects to conduct surveys and data collection, and the suitability test and research hypothesis of the model were verified. As a result of this study, Micro and macro-national image had a positive effect on brand attitude, brand familiarity and openness had no moderating effect on micro-national image, and macro-national image had a moderating effect on macro-economic image. The results of this study provide implications for companies in Korea, the United States, and Japan, which have close relations with China in the Chinese market, to utilize various business strategies.

• Journal of the Korean Vacuum Society
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• v.3 no.4
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• pp.466-481
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• 1994

차세대 집적회로 제조공정에 있어 핵심기술인 선택적 단결정 실리콘 성장공정에 대한 이동현상, 열역학, 미시적 전산모사를 수행하여 다각적인 분석과 이해를 시도하였다. 첫째, 실리콘 단결정 성장 공 정에 가장 많이 사용되는 배럴 반응기를 대상으로 유한 요소법을 이용하여 이동현상적 이론연구를 수행 하였다. 반응기내의 기체속도 분포, SiH2Cl2 농도분포를 각각 구하였으며 압력, 기판온도, 총유량 HCl 유 량변화 등의주요공정변수가 증착율과 균일도 지수에 미치는 영햐을 고찰하였다. 이러한 연구를 통하여 저온, 저압, 총유량이 많고 첨가되는 HCl 유량이 작은 경우가 균일도 확보를 위하여 적합한 조업조건임 을 알수 있었다. 둘째 Si-H-Cl 계에 대한 열역학적 기체의 Cl/H비가 낮은 경우가 선택적 실리콘 증착 에 적합함을 알수 있었다. 셋째, Monte Carlo법을 이용한 선택적 실리콘 미세박막 성장패턴에 관한 이 론 연구를 수행하여 종횡비, 재방출, 표면확산에 따른 박막증착 패턴의 변화를 고찰하였으며 표면확산이 선택도 상실 현상의 중요한 원인이 될 수 있음을 발견하였다. 또한 최상의 선택도 확보를위해서는 낮은 부착계수와 낮은 표면확산계수를 유지해야 됨을 알수 있었다.

• Korean Security Journal
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• no.14
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• pp.261-283
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• 2007

In recent studies for explaining the causation of crime fear shows interest and effort in studies attempting microscopical individual level and macroscopical local level of sex, age, economic level, crime damage level and etc. However, in this study, it is considered that interest and analysis of individual on characteristics of these local level may has its difference depends on crime damage experience in the past, fragility precision of crime damage and interest on crime relating information and processed positive analysis on characteristics of individual and relation of crime fear on individual level before making an attempt of connecting microscopical level and macroscopical level. Therefore, the purpose of this study is on positive verification of how people feel about crime fear depends on individual's characteristic and also how much effect would they receive. As the result of this study, it is shown that first, population statistical characteristics that crime damage experience is statistically meaningful of its difference of each group are age, status of marriage, final education status and residential area and for the fragility precision of crime damage was sex and status of marriage and for the interest about the crime relating information has meaningful difference statistically of each group depends on sex, age, final education status, income of the house and location of residential area. Second, after processing correlation analysis on individual characteristic primary factor and crime fear, the result of 3 primary factor independent variable all shows statistically meaningful correlation with crime fear and especially fragility primary factor on crime damage showed the most high correlation with crime fear. Lastly, fragility of crime damage, interest on crime information and crime damage experience has effected as characteristics of individual and especially fragility of crime damage which the person thought to be the most fragility on crime damage out of these individual characteristic primary factor showed to have the most effecting primary factor.

• Environmental and Resource Economics Review
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• v.33 no.1
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• pp.59-86
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• 2024

Recently, research on city gas demand is increasing by reflecting the characteristics of each region. The similarity of the social structure of the adjacent region and the density of the supply infrastructure induce spatial correlation with the clustering that has a microscopic relationship between regions. Accordingly, as a result of analyzing the spatial correlation after dividing the demand for city gas for civilian use into a total of 54 regions based on the jurisdiction of 34 city gas companies, it was confirmed that there was a positive spatial correlation from a global and local perspective. In this study, the demand for city gas for civilian use for 54 regions from January 2014 to December 2022 was composed of panel data, and the spatial panel regression analysis and the general panel regression analysis were compared, and it was found that the spatial error model (SEM) was the most suitable model. This presents policy and practical implications by confirming that the demand for city gas for civilian use in one region has a significant relationship with the adjacent region.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.4
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• pp.1269-1278
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• 2014

The urban highway, which is a motorway constructed to solve traffic issues, has the characteristic of extremely high damage to life during traffic accidents because the speed of vehicles is higher than typical roadways. In particular, because traffic accidents involving serious injuries hold a very important place among overall traffic accidents, analysis on factors affecting the occurrence of traffic accidents involving serious injuries must be considered with priority when establishing a reduction measure. Therefore, the study built a model that was capable of distinguishing the degree of the factors as part of microscopic analysis for investigating the complex effect of many elements concerning the occurrence of traffic accidents involving serious injuries in urban highways. The results are as follows. First, discriminant model showed a comparatively high level in overall accuracy rates, and, considering the correlation ratio, the models were determined to be valid, as all characteristics of the factors were clearly distinguished. Second, the problems of traffic accidents involving serious injuries on urban highways according to each factor, were clearly drawn out through the discriminant model. Third, the improvement measure for the problems drawn out from the discriminant models were clearly proposed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.228-234
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• 2021

Real estate market participants need to have a sense of predicting real estate prices in decision-making. Commonly used methodologies, such as regression analysis, ARIMA, and VAR, have limitations in predicting the value of an asset, which fluctuates due to unknown variables. Therefore, to mitigate the limitations, an artificial neural was is used to predict the price trend of apartments in Seoul, the hottest real estate market in South Korea. For artificial neural network learning, the learning model is designed with 12 variables, which are divided into macro and micro factors. The study was conducted in three ways: (Ed note: What is the difference between case 1 and 2? Is case 1 micro factors?)CASE1 with macro factors, CASE2 with macro factors, and CASE3 with the combination of both factors. As a result, CASE1 and CASE2 show 87.5% predictive accuracy during the two-year experiment, and CASE3 shows 95.8%. This study defines various factors affecting apartment prices in macro and microscopic terms. The study also proposes an artificial network technique in predicting the price trend of apartments and analyzes its effectiveness. Therefore, it is expected that the recently developed learning technique can be applied to the real estate industry, enabling more efficient decision-making by market participants.

• Journal of the Korean Society for Library and Information Science
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• v.32 no.4
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• pp.159-186
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• 1998

The emergence of digital library has been recognized as the paradigm shift of medium from paper to electronic, or that of the library function from ownership to access. From the point of view that digital information is the core constituent of digital library and is produced by electronic publishing, this paper explores the relationship between electronic publishing and digital library with special attention on recent digital library projects. And investigates the possibility of the transformation of scholarly communication system through digital library function as well as the impact of electronic publishing on the library functions.

• Journal of Labour Economics
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• v.26 no.3
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• pp.149-179
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• 2003

This study is analysing the factors determining individuals' behavior of selecting self-employment not only at the micro-level but also at the macro-level to put a particular emphasis on the financial constraint and unemployment rate representing business cycle. The data used in this study are "Korean Labor and Income Panal Study" of the Korea Labor Institute and "Economically Active Population Survey" of National Statistical Office. The main findings are as follows. First, human capital such as educational attainment and job experience has positive effects on male's selection of self-employment. The effects of job experience, however, changed negative for female's selection of self-employment. Second, real estate is significantly enhancing the selection probabilities of employer selection while the income from financial assets has negative effects. Third, entrepreneurial culture and environment are also raising the self-employment selection probability. Lastly, the regional unemployment rate representing the business cycle has positive effects on the self-employment selection after the financial crisis in 1997 both at the micro and macro level. Moreover, the coefficient of regional unemployment rate has changed positive in the structural model of self-employment selection controlling for selection bias and income opportunities, which means that individual's behavior of self-employment selection is rather complex when accounting for the uncertainties of income opportunities and diverse characteristics of self-employment workforce.