• Journal of Digital Convergence
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• v.10 no.8
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• pp.193-200
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• 2012

As IT is also recognized as assets, IT assets management system is trying to introduce for the management and operation in domestic enterprises and public institutions. The general assets management system was introduced in domestic companies, but because it managed mainly the only simple information about the assets, there were a lot of operational difficulties of the assets. In order to operate effectively the IT assets used in special business such as bank, prosecutors, railway, etc the classification system of IT assets based on the EA was needed first of all. Accordingly, in this paper, we classified IT assets systematically according to the EA meta model Application Guide V1.4 in consideration of the characteristics about the IT asset business for A public institution, and performed to improve the operating costs and efficiency by implementing a web-based IT assets management system for this public institution.

• Korea Journal of Hospital Management
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• v.1 no.1
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• pp.21-36
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• 1996

The purpose of this study is to evaluate the level of fixed assets management of the factors affecting its management level. The surveyed data were gathered from 105 general hospitals among 263 general hospitals nationwide. The level of fixed assets management was measured by 11 dimensions of assets management. The results were as follows : 1. According to general characteristics of hospitals, the management level of public hospitals and corporatized hospitals was better than that of private hospitals. The management level was better as increasing beds. 2. In the structural characteristics of assets management, the management level of the hospitals which had the responsible person for assets management was better than that of the hospitals which had not. 3. In the operating characteristics of assets management, the hospitals that conducted education for the job had better level of assets management that did not it. The hospital that the discard of assets was decided by engineering department or management department were better in management level than the hospitals that it was decided by user department. The management level of hospitals which were computerized for assets management was better. 4. In the full model, the most factors affecting the level of assets management were the factors that were characterized by operation pattern of assets management, and the operating characteristics of assets management were explained to 23.1% of total 45.7%. Conclusively, the level of assets management was mostly affected by the operating characteristics of assets management which were education for the job, discard decision not by user department, computerization for assets management. Therefore, hospitals perform education of the job, discard decision by engineering or management department, and computerization for better level of fixed assets management

• The Journal of Fisheries Business Administration
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• v.47 no.1
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• pp.87-100
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• 2016

Suhyup Bank became to be subject to regulation of capital ratio by Basel III which was introduced in order to enhance stability of the financial institution. Accordingly, Suhyup Bank will require recapitalization. It is important to estimate the risk-weighted assets in calculating of Suhyup Bank's recapitalization scale. Therefor, this study aimed to present a scientific model as estimated the risk-weighted assets. Risk-weighted assets are calculated by applying different risk weights for loans, may have a certain relationship with the loans. Results show that the risk-weighted assets is affected by the previous year's risk-weighted assets and influenced the increase in loans during the year. Since the required basic capital adequacy ratio was specified, the risk-weighted assets should be predicted reasonably. Accordingly, on this study it was tried to derive the accounting equation to predict the risk-weighted assets based on management data of a bank since introduction of Basel III. As the risk-weighted assets were weighted differently according to the type of loans, if the accounting equation is derived by using the type of loans, then it would be helpful for the risk management of banks in the long-term. According to this, the increase of loan would be predicted on the basis of past management performance of Suhyup Bank, and for this reason, the future risk-weighted assets of Suhyup Bank were predicted. The result of this study was showed that 98.3% of risk-weighted assets of the previous year, 62.4% of the secured loan changes and 95.1% of the credit loan changes affected risk-weighted assets.

• Health Policy and Management
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• v.12 no.2
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• pp.43-75
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• 2002

This study focuses on the factors that make the financial structure of hospitals in Korea different, and on recommended courses of action that could be very helpful to hospitals in maintaining a sound financial structure. Data used in this study were collected from 132 hospitals with complete general data of present conditions as well as financial statements. They were chosen from the 174 hospitals that passed the standardization audit undertaken by the Korean Hospital Association from 1996 to 2000 for the purpose of accrediting training hospitals. The dependent variable in this study is financial structure. It consists of liabilities as against total assets (total liabilities to total assets, short-term liabilities to total assets, long-term liabilities to total assets, short-term borrowings to total assets, long-term borrowings to total assets). The independent variables are ownership type, hospital type, location, whether or not a representative is a director of the hospital, the possibility of changing a hospital director, bed size, period of establishment, asset structure, profitability, growth, tax shields, business risk, competition. The factors that appear to have the strongest impact on the liabilities to total assets of all the hospitals sampled are ownership type, hospital type, profitability, tax shields, and business risk. It was found that not-for-profit private hospitals and for-profit private hospitals have more liabilities than public hospitals, and tertiary medical institutions have less liabilities than the secondary general hospitals. Moreover, hospitals earning more at the expense of high business risk have a distinct tendency to lower liabilities. Concerning the current ratio, it was found that factors such as ownership type, hospital type, period of establishment, asset structure, and business risk are the more significant variables. The current ratio of public hospitals is higher than that of both not-for-profit private hospitals and for-profit private hospitals, and the current ratio of tertiary medical institutions is higher than that of general hospitals. As business risk is higher in hospitals compared to other businesses, the current ratio becomes higher; this is because it is assumed that for fear of bankruptcy, hospitals lessen liabilities to total assets. On the other hand, as hospitals become older, the fixed assets to total assets become lower. It is remarkable that in hospitals, the factors affecting liabilities to total assets have an opposite regression coefficient sign against factors affecting current ratio. It brings out the same results borne out by the old financial theories and researches, in which a lot of the liabilities of hospitals are considered as the cause of worsening liquidity. Therefore, it is very important for hospitals to maintain a sound financial structure in order to survive using the rational acquisition and maintenance of capital.

• Journal of Information Technology Services
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• v.8 no.4
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• pp.103-113
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• 2009

The industry of cultural digital contents has been regarded as the main next generation industry. Recently techniques for restoring cultural assets and the multiple usage of those have been developed in our country. Using computer graphics and image processing techniques, many cultural assets have been restored. If the focus for researches and supports to cultural assets restoration grows rapidly, we will create cultural and economical added-values and get the benefit of that technology. In this paper, we introduce the techniques for restoring cultural assets focused on computer graphics and image processing techniques.

• Journal of the Korea Society of Computer and Information
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• v.29 no.5
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• pp.1-10
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• 2024

Attackers tend to use similar vulnerabilities when finding their next target IT assets. They also continuously search for new attack targets. Therefore, it is essential to find the potential targets of attackers in advance. Our method proposes a novel approach for efficient vulnerable asset management and zero-day response. In this paper, we propose the ability to detect the IT assets that are potentially infected by the recently discovered vulnerability based on clustering and similarity results. As the experiment results, 86% of all collected assets are clustered within the same clustering. In addition, as a result of conducting a similarity calculation experiment by randomly selecting vulnerable assets, assets using the same OS and service were listed.

• Journal of Family Resource Management and Policy Review
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• v.16 no.4
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• pp.45-68
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• 2012

This study performed an analysis to determine if an individual can maintain the current consumption, in the case of a single retired elderly person's household using the accumulated assets. Assets are divided into three types, based on the behavioral economics life cycle hypothesis : financial assets, real assets excepting residential assets, and residential assets, and it is assumed that these assets were used on a step-by-step basis. Also, if the assets were sufficient, the maximum withdrawal amount was calculated. The results of the analysis are as follows. First, the monetary assets were sufficient to cover the cost of living for 2.7 years, 6.4 years by using the real assets of the non-occupied housing, and 26.3 years in the case of residential property. Second, in the case of preferentially using the financial assets, 4.4% of the sample households were able to cover the cost of living. Households that were not able to cover the cost of living used the next-stage assets, real assets of the non-occupied housing. Households that were not able to cover the cost of living by financial assets liquidated the real assets with the exception of residential assets and used these to cover the cost of living. A total of 4.8% of the households were able to maintain the current cost of living through the second stage and 25.5% supplemented their funds by using residential assets. That is to say, 35% of the sample households were able to maintain the current level of living by using their assets.

• Journal of the Korean Regional Science Association
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• v.40 no.1
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• pp.89-110
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• 2024

REITs are very closely related to real estate management, but there have been no prior studies analyzing the location of REITs assets. Therefore, this study analyzed the location characteristics of REITs assets in two aspects to clarify the location characteristics by using spatial information of REITs assets. First, the characteristics of the type of city where REITs assets are distributed were analyzed, and second, the characteristics of the zoning where REITs assets are distributed were analyzed. As a result of analyzing the characteristics of the city where REITs assets are distributed by type, it was analyzed that in the case of the capital area, both the ratio of cities with REITs assets location and the intensity of REITs assets location (number of REITs assets per city) have location characteristics by city hierarchy in the order of metropolitan city > big city > small and medium-sized city. In the case of non-capital area's metropolitan and large cities, the ratio of REITs assets location cities is similar to that of the capital area, but the location intensity of REITs assets was analyzed to be significantly lower than that of the capital area. As a result of the analysis of REITs assets by type, housing REITs assets tend to be located in the old downtown commercial zoning and the new downtown residential zoning, office REITs assets are characterized by concentration of location in specific commercial zoning of Seoul, and retail REITs assets are located mainly in the old downtown station area. In addition, it was found that logistics REITs assets tend to be located in management zoning, centering on key logistics hub cities in the region.

• KDI Journal of Economic Policy
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• v.40 no.2
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• pp.53-73
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• 2018

Using an overlapping generations model, this paper examines tax policy effects across generations. The model incorporates housing assets separately from capital assets and includes taxes on labor income, capital income, consumption and housing assets. Tax reforms for each tax rate have different effects on tax burdens across generations and the overall efficiency of the economy, leading to different welfare costs for generations. Specifically, raising housing property taxes results in the smallest welfare loss by future generations, as in the model it does not hurt economic efficiency and the tax burden increases mainly for the elderly, who have accumulated housing assets in preparation for retirement.

• Korean Journal of Human Ecology
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• v.15 no.6
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• pp.973-984
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• 2006

This study examined the asset allocation of the aged and analyzed the impact variables on the portfolio ratio of different kind of finanical assets. The aged was divided three groups, 55-65, 65-75 and 75 over. The results showed that the aged are not likely to invest on risky asset and their assets composed of mostly real estates and bank account. The study include four different assets, such as liquid asset, risky assets, horne equity and other real estates, which reflects the liquidity problems of households asset allocation for the aged in Korea. The aged who do not participate on stock market are likely to have more liquid assets. Households lived in Daegu, Kwangju, ChungCheong and CheonRa tend to have more liquid assets compared to those in Seoul. Total income is appeared having positive relationship with illiquid assets including stock, bonds, and private pension. Age group with 75yrs over tend to have greater mean of illiquid assets and it may caused by the polarization of assets, which gives intuition for the future study.