• Information Systems Review
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• v.9 no.1
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• pp.45-65
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• 2007

In medical industry, health insurance bill audit is unique and essential process in general hospitals. The health insurance bill audit process is very important because not only for hospital's profit but also hospital's reputation. Particularly, at the large general hospitals many related workers including analysts, nurses, and etc. have engaged in the health insurance bill audit process. This paper introduces a case of health insurance bill audit for finding reducible health insurance bill cases using decision tree induction techniques at a large general hospital in Korea. When supervised learning methods had been tried to be applied, one of major problems was data imbalance problem in the health insurance bill audit data. In other words, there were many normal(passing) cases and relatively small number of reduction cases in a bill audit dataset. To resolve the problem, in this study, well-known methods for imbalanced data sets including over sampling of rare cases, under sampling of major cases, and adjusting the misclassification cost are combined in several ways to find appropriate decision trees that satisfy required conditions in health insurance bill audit situation.

• Journal of Information Technology Services
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• v.11 no.3
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• pp.89-101
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• 2012

The study investigated if IT investment in Korean financial markets for the past 18 years has grown following the s-curve pattern based on Nolan's growth model in order to find the correlation between IT investment and management performance in the financial industry. According to the research finding it can be said that the overall financial markets maintain s-curve pattern, and IT investment is related to management performance, particularly increase in total assets and net profit. However, each sector has defining features of growth patterns. The banking industry has grown similarly to the s-curve, and the insurance industry also shows the s-curve but it looks more like linear pattern. In terms of securities industry, its growth patterns can hardly be considered s-curve due to the irregular changes. his research outcome illustrates the analysis of IT growth patterns in the financial industry and thus, it is expected to be a useful reference when deciding the appropriate time for IT investment in the financial industry.

• Journal of the Korean Data and Information Science Society
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• v.20 no.1
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• pp.179-190
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• 2009

In the financial industry, the decision tree algorithm has been widely used for classification analysis. In this case one of the major difficulties is that there are so many explanatory variables to be considered for modeling. So we do need to find effective method for reducing the number of explanatory variables under condition that the modeling results are not affected seriously. In this research, we try to compare the various variable reducing methods and to find the best method based on the modeling accuracy for the tree algorithm. We applied the methods on the pension insurance of a insurance company for getting empirical results. As a result, we found that selecting variables by using the sensitivity analysis of neural network method is the most effective method for reducing the number of variables while keeping the accuracy.

• International Commerce and Information Review
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• v.13 no.1
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• pp.179-196
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• 2011

This study aims to measure the relative importance of trade insurance using AHP developed by Thomas Saaty of Pennsylvania in early 1970s. Moreover, it provides help in the development of a comprehensive strategy of trade insurance. To obtain priority of trade insurance in its functions, this study discovered significance and relative importance of two evaluation standards and four individual evaluation items. Of the two evaluation standards, importance of credit exposure was 63%. It was discovered that it was more important than political means (37%). Of the four individual evaluation items, importance of banking supplementation was 60%. It was more important than credit investigation of overseas traders (40%). Importance of trade promotion policy was 69%, which was more important than removal of anxiety in trade (31%). As a result of comparing priorities of the f tire evaluation items, priority of banking supplementation was 38% followed by trade promotion policy means (26%), credit investigation of overseas traders (25%) and removal of anxiety in trade (12%).

• Industry Promotion Research
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• v.1 no.2
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• pp.103-108
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• 2016

This study analyzed the effect of female insurance planners' personal traits on job performance in Dangjin, Chungnam. The study results showed that job importance recognition(p<.05, ${\beta}=.321$) significantly affected job satisfaction, so highly recognizing the importance and social reputation improved job satisfaction. Personal traits didn't significantly affected contract performace and workplace satisfaction, but job performance varied by continuos service year. This study provided implications by finding out the degree of importance of personal traits on job performance improvement and verifying the effect of personal factors on performace enhancement of female insurance planners.

• Korea Trade Review
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• v.42 no.2
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• pp.145-174
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• 2017

Recently, due to the worsening global economic recession, Korea which is a small, export-oriented economy has decreased exports and the domestic economy also continues to stagnate. Therefore, for continued growth of our economy through export growth, we need to analyze the validity of export support system such as export insurance and prepare ways to expand exports. This study is to investigate the effects of Export Insurance on the exports of SMEs as well as LEs. For this purpose, this study conducted Time Series Analysis using data such as export, export insurance acquisition, export price index, exchange rate, and coincident composite index(CCI). First, as a result of the Granger Causality Test, the exports of LEs has found to have a causal relationship with the CCI, and CCI is to have a causal relationship with the short-term export insurance record. Second, the results of VAR analysis show that the export insurance acquisition result and the export price index have a positive effect on the exports of LEs, while the short - term export insurance has a negative effect on the exports of LEs. Third, as a result of variance decomposition, the export of LEs has much more influenced for mid to long term by the short-term export insurance acquisition compared to SMEs. Fourth, short-term export insurance has a positive effect on exports of SMEs. In order to activate short-term export insurance against SMEs, it is necessary to expand support for SMEs by local governments. This study aims to suggest policy implications for establishing effective export insurance policy by analyzing the effects of export insurance on the export of SMEs as well as LEs. It is necessary to carry out a time series analysis on the export results according to the insurance acquisition results by industry to measure the export support effect of export insurance more precisely.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.59-65
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• 2020

The domestic sleep industry is rapidly increasing in market size as it is linked to sleep apnea in the longterm care insurance for the elderly and domestic IT technology. In addition, due to the aging society, the government's support policy is also increasing, and many domestic companies are focusing on the sleep industry. Therefore, this study intends to examine the development strategies of the domestic sleep industry due to the increased social interest and corporate activities. To this end, a survey of 108 domestic companies was conducted by means of a Frequency Analysis, revealing some problems, such as poor sleep companies, insufficient resources for technology development, and limitations in distribution channels. As a result, it was found that for the development of the domestic sleep industry, strategies to strengthen the ecosystem, such as softening strategies through the sleep technology culture, strengthening ecosystems such as revitalizing industrial connections, and reforming laws and regulations, are urgent.

• Industry Promotion Research
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• v.2 no.1
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• pp.93-99
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• 2017

This study analyzed the effect of pension insurance on the human resources management of SME workers. As a result of the study, a total of 128 workers were enrolled in 60 SMEs in the Chungnam area who were enrolled in pension insurance. The analysis data were analyzed using frequency analysis, factor analysis, reliability analysis, correlation analysis, regression analysis And post - analysis. First, pension insurance had a significant effect on human resource management, and the correlation between independent variables (clarity, suitability, and satisfaction) and dependent variables (job efficiency) was high....Second, the correlation between pension insurance and job performance is more important than clarity and job performance (.339), fitness and job performance (.541), satisfaction and job performance (.531), job performance and job efficiency, And the turnover intention (.549). Third, there is no statistically significant difference in the analysis of the difference in turnover intention according to the number of years of service of the employees who are enrolled in pension insurance. The purpose of this study is to analyze the impact of pension insurance on human resources management to achieve successful policy objectives by promoting the long - term employment of the core manpower of SMEs and cultivating manpower.

• Health Policy and Management
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• v.29 no.2
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• pp.206-219
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• 2019

This paper aims to demonstrate current health expenditure (CHE) and National Health Accounts of the years 2018 constructed according to the SHA2011, which is a manual for System of Health Accounts (SHA) that was published jointly by the Organization for Economic Cooperation and Development (OECD), Eurostat, and World Health Organization in 2011. Comparison is made with international trends by collecting and analyzing health accounts of OECD member countries. Particularly, scale and trends of the total CHE financing as well as public-private mix are parsed in depth. In the case of private financing, estimation of total expenditures for (revenues by) provider groups (HP) is made from both survey on the benefit coverage rate of National Health Insurance (by National Health Insurance Service) and Economic Census and Service Industry Census (by National Statistical Office); and other pieces of information from Korean Health Panel Study, etc. are supplementarily used to allocate those totals into functional classifications. CHE was 144.4 trillion won in 2018, which accounts for 8.1% of Korea's gross domestic product (GDP). It was a big increase of 12.8 trillion won, or 9.7%, from the previous year. GDP share of Korean CHE has already been close to the average of OECD member countries. Government and compulsory schemes' share (or public share), 59.8% of the CHE in 2018, is much lower than the OECD average of 73.6%. 'Transfers from government domestic revenue' share of total revenue of health financing was 16.9% in Korea, lower than the other social insurance countries. When it comes to 'compulsory contributory health financing schemes,' 'transfers from government domestic revenue' share of 13.5% was again much lower compared to Japan (43.0%) and Belgium (30.1%) with social insurance scheme.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2020.11a
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• pp.185-186
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• 2020