• Journal of the Korea Safety Management & Science
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• v.15 no.4
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• pp.209-216
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• 2013

By means of the model competition, this research analyzed the factor of patient management, the factor of policy support, and the factor of medical treatment system. Concretely, the factor of policy support forms a positive effects on the factor of medical treatment system. Practically, well-established healthcare policy provide and facilitate the effective medical treatment system. of the hospital. And, in the effective medical treatment system, hospitals try to develop the patient management of the chronic disease. From the empirical research, this paper concluded that the factor of medical treatment system. mediated by the factor of policy support. Also, the factor of medical treatment system promotes the development of patient management in the chronic disease.

• Journal of the Korean Data and Information Science Society
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• v.19 no.2
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• pp.451-461
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• 2008

In this study, factor and cluster analysis have been conducted to group the differences in Korean view on national economic policy in the sample of the 2006 Korean General Social Survey (KGSS). According to the 2006 KGSS, the 6 items with a 5-point Likert scale include the questions about whether or the extent to which each respondent supports the specific types of governmental economic policy. In our study, at first, the factor analysis has converted the original 6 items into the 3 composite variables that account for 81% in the total variability. As the second step of factor analysis, factor scores have been computed. Then, the K-means cluster analysis based on the factor scores has been conducted to group the survey respondents into the 3 clusters. In particular, the cross-tabulation analysis has shown that the distribution of the 3 clusters varies with the respondents' socio-demographic characteristics.

• Journal of Korean Institute of Industrial Engineers
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• v.36 no.2
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• pp.108-116
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• 2010

The maintenance of a deteriorating system is often imperfect. Previous studies have shown that the imperfect preventive maintenance (PM) can reduce the wear out and aging effects of deteriorating systems to a certain level between the conditions of as good as new and as bad as old. In this paper, we employ the concept of the improvement factor in investigating two optimal PM policies; failure limit policy and periodic PM policy. We redefine the improvement factor model as a function of the cost of PM, using this concept, we derive the conditions of optimal PM policies and formulate expressions to compute the expected cost rate. Based on this information, the determination of the maintenance policies which minimize the cost rate is examined. Numerical examples for the Weibull distribution case are also given.

• Journal of the Korean Regional Science Association
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• v.14 no.1
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• pp.47-64
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• 1998

This paper attempts to forecast regional economic changes and to analyze government polices for interregional balanced economic growth in case of Korea Reunification. It begins with be reunified at the year 2010. The model is largely neoclassical. Since the future of North Korea is unclear, two possible scenarios are presented. The paper projects economic growth of regions, specifically forecasting growth of regions, specifically forecasting GRDP, the number of migrants and the quantity of moving capital. The results obtained show that spatially unbalanced economic growth will take place in the reunified Korea through factor movement. Two polices including public capital provision policy and income subsidy policy are thus suggested and analyed.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.27 no.2
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• pp.26-36
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• 2019

Although the investment size of R&D in Aviation and Aerospace Industries is increasing, R&D performance has not been quite good considering resources invested in it. This study is to find which R&D critical factors affect R&D Performance in aviation and aerospace industries. According to the result of research, a technology provider factor, an organization factor, a system factor and a market environment factor influence positively on financial performance, and a policy factor influences negatively on financial performance. Otherwise, a technology provider factor and an organization factor influence positively on non financial performance, and technology factor influences negatively on non financial performance. Thus, personnel involved in R&D of Aviation and Aerospace Industries should develop policy and system taking positive and negative factors to improve R&D performance. It could lead to take the better performance from R&D in Aviation and Aerospace Industires.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.90-99
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• 2023

This paper deals with studying strategy about impact of deep learning (DL) on the factor of Korean economic growth. To study classification of impact factors of Korean economic growth, we suggest dynamic equation of microeconomy and study methods on economic growth impact of deep learning. Next step is to suggest DL model to dynamic equation with Korean economy data with growth related factors to classify what factor is import and dominant factors to build policy and education. DL gives an influence in many areas because it can be implemented with ease as just normal editing works and speak including code development by using huge data. Currently, young generations will take a big impact on their job selection because generative AI can do well as much as humans can do it everywhere. Therefore, policy and education methods should be rearranged as new paradigm. However, government and officers do not understand well how it is serious in policy and education. This paper provides method of policy and education for AI education including generative AI through analysing many papers and reports, and experience.

• The Journal of Information Systems
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• v.12 no.2
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• pp.109-128
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• 2003

This study is intended to suggest an ideal direction of the information systems policy for the local small business firms. In an effort to accomplish this objective, this paper tried to identify the current states of the information systems and measure the level of the information systems of local small business firms based on the maturity stage and the development level. The study then explored the evidence how the maturity stage and the development level affect the business performance of the local small business firms. The research found out that the organizational factor such as the support of CEO and the financial factor such as IS investment took major roles to improve the business performance. Based on the research findings of this study, the paper suggested the desirable solution of the information system policy to deal with the problems the local small business firms need to overcome.

• Journal of the Korean Society for Railway
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• v.18 no.4
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• pp.391-400
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• 2015

This research used a survey of 350 staff members working at Korail with the purpose of analyzing influence factors for the railway tourism policy for job satisfaction; results were presented for the proposed factor. First, we selected the influence factor through precedent research related to the railway tourism policy. Second, the selected influence factor and the extent of satisfaction were used to determine whether or not any kind of difference existed according to individual attributes of the railway employees. Finally, we analyzed what the influence factor was between the category factor and the sub-category factor. In conclusion, it was found that government subsidy had a meaningful correlation with infrastructure expansion and the improvement of the railway business as it is connected to tourism efficiency. Human resources have a meaningful correlation with the needs of educational institutions and the retaining of talent. Railway tourism production has a meaningful correlation with railway tour production as it is conducted to satisfy tourists and the consortium. The shift of viewpoint has a meaningful correlation with the escape from the peace-at-any price principle and demand forecasting.

• Health Policy and Management
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• v.16 no.4
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• pp.86-111
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• 2006

Either ways of understanding health care as a commodity or public work are at opposite ends of health care spectrum. These two rival conceptions reflected by viewpoint(ideology) would lead to different directions in policy-making for health care reform. The purpose of this study is to access the value differences of experts' policy views about health care issues by analyzing the extent of consensus among experts in the field of health care. Using primary data obtained through a mail survey of 558 experts in the field of health care, we analyzed the differences of experts' opinions about characteristics of health care market, policy issues and values Gdeology). The study represents from 50-50 split analysis, entropy index, and factor analysis that the wide spread disagreements over health policy, which is a major barriers to effective policy-making, could be caused by the ideological perception differences among experts. This implies that, if values play an important role in policy-making, we should identify the differences in value and seek ways to balance among the diverse values such as efficiency, equity, freedom, and security. For this, the policy issues debated on differences in values should be reconciled for narrowing gaps of experts' perceptions through various ways.

• Health Policy and Management
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• v.4 no.2
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• pp.58-76
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• 1994

In order to study factors affecting the use of the ambulatory physician services. Andersen's model for health utilization was modified by adding the health behavior component and examined with three different approaches. Three different approaches were the multiople regression model, logistic regression model, and LISREL model. For multiple regression, dependent variable was reported illness-related visits to a physician during past one year and independent variables are variaous variables measuring predisposing factor, enabling factor, need factor and health behavior. For the logistic regression, dependent variable was visit or no-visit to a physician during past one year and independent variables were same as the multiple regression analysis. For the LISREL, five endogenous variables of health utiliztion, predisposing factor, enabling factor, need factor, and health behavior and 20 exogeneous variables which measures five endogenous variables were used. According to the multiple regression analysis, chronic illness, health status, perceived health status of the need factor; residence, sex, age, marital status, education of the predisposing factor ; health insurance, usual source for medical care of enabling factor were the siginificant exploratory variables for the health utilization. Out of the logistic regression analysis, health status, chronic illness, residence, marital status, education, drinking, use of health aid were found to be significant exploratory variables. From LISREL, need factor affect utilization most following by predisposing factor, enabling factor and health behavior. For LISREL model, age, education, and residence for predisposing factor; health status, chronic illess, and perceived health status for need factor; medical insurance for enabling factor; and doing any kind of health behavior for the health behavior were found as the significant observed variables for each theoretical variables.