• Journal of Arbitration Studies
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• v.29 no.2
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• pp.225-237
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• 2019

Recently, it has been argued that it is necessary to attract foreign patients outside domestic insurers and to allow foreign doctors to treat in domestic hospitals in order to develop the insurance industry and revitalize the medical industry. Currently, large medical institutions in Korea are attracting foreign patients in connection with foreign insurance companies. It is desirable to increase the number of overseas patients who want excellent medical services in Korea, and to provide opportunities for domestic insurance companies to attract overseas patients by expanding job creation through a revitalization of the medical industry. Therefore, this study suggests the development direction for insurers who aim to attract foreign patients through the side effects of attracting foreign patients in accordance with the Financial Services Commission's plan to strengthen the competitiveness of the financial industry. In addition, this study intends to contribute to the strengthening of the competitiveness of attracting foreign patients, through domestic insurance business, to the insurance direct payment market for overseas patients using domestic medical institutions that are concentrated in foreign insurance companies and in the blind spot of domestic law application.

• The Korean Journal of Health Service Management
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• v.13 no.3
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• pp.1-12
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• 2019

Objectives: The purpose of this study was to provide hospital management diagnosis status and basic data required for the future development of hospital management diagnosis program. Methods: We conducted a questionnaire survey on administrative staff of manager level or over of medical institutions in B metropolitan city. Results: As a result of analyzing the relative influence of the needs by hospital management diagnosis indicator, the effect of financial analysis indicator, patient treatment record indicator and medical revenues indicator were high in the medical institutions with number of beds of 100 beds or over and general hospital level or over both on a hospital level and on an individual level. Conclusions: Since the existing laws or systems are centered on large major hospitals, the management environment is very unfavorable for small and medium hospitals as can be seen from the results of this study. Therefore, the government should improve the transparency and rationality of the hospital management environment in Korea through regulation and system reforms that can be applied to all medical institutions.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.1063-1069
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• 2021

The purpose of this study is to explore and empirically analyze the factors affecting transparency and public accountability in local government, which have not been sufficiently researched in terms of human resource management, and good governance implementation. In particular, this study intends to examine human resource management activities focusing on the government effectiveness dimension. This study uses a qualitative approach and phenomenological method to examine the phenomenon of participant experience along with documents that are in the setting under study. Participants consisted of nine people from the Regional Government Work Unit of Tasikmalaya City, the private sector, and the community. The researcher divided data analysis into three sub-indicators, including effectiveness and efficiency, responsiveness, and public service. The Results show Regional Financial and Asset Management Agency (BPKAD) of Tasikmalaya City as sufficient in terms of human resources, this can be verified from the number of leaders and staff, which amounts to 58 people, of which 80% are economic graduates. Although the quantity is adequate, the quality of human resources in BPKAD in Tasikmalaya City is still weak. In Conclusion of this study it is inferred that the application of the government effectiveness dimension in BPKAD Tasikmalaya City is not optimal and need adequate training to improve employee performance in financial management.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.31-42
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• 2021

This study aims to determine the relation between the real sector and the financial sector in underdeveloped areas in Nusa Tenggara, Indonesia. To facilitate understanding of these linkages, researchers use the logic of credit channel mechanism of monetary policy, financial intermediation, as well as supply leading and demand following theories. The research variables include economic growth, inflation, liquidity, and NPL at the provincial level, with a data sample from 2008 to 2019. This research uses VAR/VECM as the analysis tools. The findings of the long-term analysis in East Nusa Tenggara show there is a phenomenon of cost-push inflation as well as the negative relation between inflation and economic growth. The impact of liquidity on inflation is positive, while the impact of economic growth on inflation is negative. Meanwhile, in West Nusa Tenggara, the impact of economic growth on inflation is positive. On the other hand, the impact of liquidity and NPL on inflation and economic growth is negative. In conclusion, generally, the economy in West Nusa Tenggara is better than the East Nusa Tenggara. The key to improving the economy of Nusa Tenggara is by improving its liquidity. This can be done by increasing the volume of public savings to increase bank credit capacity.

• Journal of Korea Planning Association
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• v.54 no.4
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• pp.71-78
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• 2019

Due to the rapid pace of low fertility and aging of Korea, population decline is rapidly progressing in the outskirts of the province and county. Demand for public transport is decreasing due to suburban population declines, while local government funding for maintenance of the bus system is expected to increase gradually. The government and municipalities are promoting the introduction of Demand Responsive Transport (DRT) in order to reduce the burden of financial support for buses while enhancing mobility of the residents in vulnerable areas. However, most DRTs in Korea have been operated mainly in the areas that are not provided with public transportation services. Although DRT is able to reduce the financial burden of local governments, it is not easy to be introduced because of the objection of the existing bus users. In this study, 11 out of 61 towns with poor public transportation services in Gyeongsangnam-Do were selected for the introduction of DRT to replace bus services by using village characteristics. The results of this study are expected to be used as a basis for decision making to use DRT instead of bus service for the burden of bus financing for local governments.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.9
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• pp.25-37
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• 2022

Investment decisions are one of the most fundamental issues in financial management. This study aims to determine the factors that affect investment decisions in the energy industry and to contribute to the companies in this industry to develop strategic policies. The System GMM analyzes were carried out using the data of companies registered on the stock exchange for the period 2000-2015. The findings showed that industrial competition and firm size were important factors influencing the investment decisions of firms in the energy industry. The findings indicated a nonlinear relationship between industrial competition and the rate of investment in the energy sector. Depending on the firm's size, the effect of industrial competitiveness on investment varies. Smaller businesses are more impacted by the level of competition than larger ones. The investment rate decreases depending on the increase in cash holding level and firm risk. When the subgroups in the energy industry are examined, it is determined that they reveal some differences in terms of financial structure. A higher investment rate results from a higher retained earnings ratio. The investment rate of firms falls as a company's risk level and sales revenue variability increase.

• Korean Journal of Occupational Health Nursing
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• v.30 no.4
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• pp.175-185
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• 2021

Purpose: The purpose of this study was to explore the influence of care stress for older patients, self-perceptions of aging, and anxiety about aging on preparation for retirement in clinical nurses. Methods: This was a cross-sectional descriptive study in which participants were 222 nurses who had at least six months of work experience and were involved in caring for older patients in the last six months at the work site. Data were collected from August to September, 2020 using an online survey questionnaire. Data were analyzed using the IBM SPSS/WIN 25.0 program. Results: The mean level of preparation for retirement in the participants was moderate (3.21 out of 5 points). Among the sub-domains of preparation for retirement, financial preparation had the lowest score. Self-perceptions of aging and aging anxiety were significant predictors for retirement preparation in nurses, accounting for 16% of the variable's total variance. Conclusion: A greater level of preparation for retirement was associated with a positive perception of aging and a decreased level of aging anxiety in the clinical nurses. Further research should focus on exploration of specific determinants of financial preparation for retirement and development of intervention strategies for improving preparation for retirement in the nursing workforce.

• Health Policy and Management
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• v.3 no.1
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• pp.84-101
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• 1993

The current method of rate adjustment is based on the evaluation of the financial performance of hospitals. The method has the disadvantages such as too complicated, expensive process as well as low reliability due to small sample size. This study, therefore, develops a new model for the rate adjustment with the use of the composite index. In addition to that, it examines the validity of the model by comparing the result of the new method with that of the conventional method. The idea of the new model comes from the Medicare Economic Index(MEI) on which physician fees for the Medicare patients are adjusted periodically in the United States. Medical costs are classified into three groups : labor costs, materials and other expenses. Labor costs are subdivided into physicians and other personnels. Materials are subdivided into drugs and others. Other expenses are subdivided into 5 items. Macro economic indices are selected for each cost item in order to reflect the cost inflation during the specific period. Then the composite index which integrate all items according to the ration of each item in the total costs is calculated. The result from the application of empirical data to the new model is very similar to that of the current method. Furthermore, this method is very simple and also to easy to get social concensus. This model can be replaced the current method based on the analysis of the financial performance for the adjustment of medical fees.

• International journal of advanced smart convergence
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• v.12 no.3
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• pp.149-156
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• 2023

Joint research on software, electronic engineering, computer engineering, and financial engineering and the use of ICT knowledge through network formation play an important role in strengthening science and technology-based innovation capabilities and facilitating the development and production process of products using new technologies. For the purpose of this study, I would like to strategically propose ICT specialized education in the 4th industrial revolution. To this end, the ICT specialization model, ICT specialization strategy analysis, and ICT specialization operation and effect were explored to establish ICT specialization strategies centered on software, electronic engineering, computer engineering, and financial engineering in the era of super-intelligence, hyper-connected, and hyper-convergence. Secondly, a roadmap for detailed promotion tasks related to efficient ICT characterization based on core strategies, detailed promotion tasks, and programs was proposed, focusing on talent related to ICT characterization. Thirdly, we would like to propose a reorganization of the academic structure and organization related to ICT characterization. Finally, we would like to propose the establishment of a future-oriented education system related to ICT specialization based on the advanced education and research environment.

• International journal of advanced smart convergence
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• v.12 no.1
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• pp.53-58
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• 2023

With the fast development of artificial intelligence day by day, users are demanding explanations about the results of algorithms and want to know what parameters influence the results. In this paper, we propose a model for bankruptcy prediction with interpretability using the SHAP framework. SHAP (SHAPley Additive exPlanations) is framework that gives a visualized result that can be used for explanation and interpretation of machine learning models. As a result, we can describe which features are important for the result of our deep learning model. SHAP framework Force plot result gives us top features which are mainly reflecting overall model score. Even though Fully Connected Neural Networks are a "black box" model, Shapley values help us to alleviate the "black box" problem. FCNNs perform well with complex dataset with more than 60 financial ratios. Combined with SHAP framework, we create an effective model with understandable interpretation. Bankruptcy is a rare event, then we avoid imbalanced dataset problem with the help of SMOTE. SMOTE is one of the oversampling technique that resulting synthetic samples are generated for the minority class. It uses K-nearest neighbors algorithm for line connecting method in order to producing examples. We expect our model results assist financial analysts who are interested in forecasting bankruptcy prediction of companies in detail.