• The Journal of the Korean life insurance medical association
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• v.33 no.2
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• pp.15-17
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• 2014

All Korean people are eligible for National Health Insurance(NHI). But large non-coverage of NHI is a big problem. The origin of this problem is from medical fee schedules. NHI calculate all hospital income including insurance medical practice, non-insurance medical practice and non-medical income(i.e. a funeral hall, a parking lot, stores in hospital).

• Journal of the Korean Data and Information Science Society
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• v.25 no.6
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• pp.1207-1219
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• 2014

In this study, 1) we compare face channel and non-face channel of life insurance company and non-life insurance company with insurance employs' suitability opinion about channel type, channel property, channel evaluation items requiring when selling insurance products, 2) we construct two social networks for life insurance companies and non-life insurance companies and find/compare two networks' properties, and then want to suggest any direction about sale channel strategy. As the result of comparing social networks of life insurance company and non-life insurance company created by insurance selling channel fit evaluation, employs of life insurance companies have more common opinion than those of non-life insurance companies and so can have more same directional channel strategy. However, property insurance companies need to manage their own channel strategy based on their own circumstance.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.665-675
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• 2020

The aim of this article is to investigate the relationship between insurance and economic growth at aggregate and disaggregate level for the period 1982-2018. Very few studies have been carried out in this field, with contradictory results and using an aggregate data while, according to different authors, an aggregate data might provide spurious results. The author used Ordinary Least Squares Regressions (OLS) and Granger Causality tests to explore the strength and direction of the relationship between insurance and economic growth at an aggregate level. To check the relationship at disaggregate level life insurance, marine insurance, and property insurance are regressed on trade openness and investment, respectively. Non-life insurance at an aggregate level plays a positive and significant role in promoting economic growth, but life insurance has an insignificant impact on the Pakistan economy. On the other hand, non-life insurances at a disaggregated level such as marine insurance negatively affect a vital part of economic growth, i.e., trade. At the same time, property insurance has a significant and positive role in boosting investment. Life, marine, and property insurance Granger cause economic growth, trade, and investment in a single direction. Nevertheless, is a bi-directional relationship between economic growth and non-life insurance.

• Journal of Information Technology Applications and Management
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• v.29 no.4
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• pp.17-33
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• 2022

This study measures the internal and external competitiveness of 35 OECD countries in the insurance industry. We analyze whether variables related to the Fourth Industrial Revolution affect international competitiveness by applying a nonlinear autoregressive distributed lag model. As a result, the competitiveness of life insurance foreign companies in internal is showing positive responses in high income inequality countries. In addition, insurance companies in countries with low income inequality have shown high performance in external. The non-life insurance industry is less sensitive to shocks than life insurance. This is because non-life insurance is a more dangerous industry than life insurance and there are many restrictions on policies and regulations. The reason is that non-life insurance is a more dangerous industry than life insurance and there are many restrictions on policies and regulations.

• Journal of Korean Society for Quality Management
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• v.31 no.1
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• pp.42-61
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• 2003

The objective of this study is to analyze the impact of service quality on the customer satisfaction, the re-purchase intention and the word of mouth in the Korean insurance industry. In this study, the methodology for measuring the degree of service quality which has been adopted in the service quality research area was used. Data for this study were gathered from 1332 consumer life insurance and 689 consumer non-life insurance companies using internet survey method. The result of this study is summarized as follows: the determinants of service quality in the Korean life insurance industry are empathy, responsiveness and reliability, and the determinants of service quality in the Korean non-life insurance industry are empathy, and responsiveness, and the re-purchase intention and the word of mouth are affected by the customer satisfaction. As a result of the study, strategic implications will be suggested.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.217-225
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• 2022

We analyzed efficiency and productivity of the Indian non-life insurance market affected by the COVID-19 pandemic from 2020. Using data envelopment analysis(DEA), we examined non-life insurance companies selling health insurance products in India from FY2013 to FY2019. We found the followings. First, average efficiency of the entire non-life insurance industry worsened in the beginning yet improved later. Second, analyzing the efficiency measures by group, we found that private insurance companies had the highest efficiency, followed by state-run insurance companies and pure health insurance companies. Third, average annual productivity growth rate of companies operating distance selling channels including telemarketing is higher than that of traditional face-to-face channels. During and after the COVID-19 pandemic, therefore, Indian non-life insurance companies should focus their resources and efforts on the development of distance selling channels when establishing business strategies. Besides, it would be interesting to extend our analysis to the post-coronavirus period and we leave this for future research.

• Journal of Families and Better Life
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• v.6 no.1
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• pp.117-129
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• 1988

The purposes of this study are 1) to explore the evaluating attribute of family life- insurance 2) to examine the relationship between evaluation attribute variables and level of consumer satisfaction/ dissatisfaction (CS/D), and 3) to investigate the sociodemographic variables and psychological variables which influence the purchase of life-insurance. The data used in this study include 432 households of 208 life-insurance purchasers and 224 non-purchasers Statistics used for the data analysis are x2, factor analysis, multiple regression and a discriminant analysis. The resulting major findings are as follows; 1) The evaluating attributes are saving function, convenience. economic payoff, safety for future accident, agreement of insurance, and reputation of brand. 2) Among these factors. the most important factors. in CS/D of life-insurance are saving function, and reputation of brand. 3) the purchase of life-insurance has been influenced by such sociodemographic variables as husband's age , family income, and family life-cycle. Psychological variables such as attitude of life, perceived risk, consumer attitude about insurance business did not influence the purchase of life -insurance significantly. As mentioned above, we can conclude that Korean purchasers of life-insurance are using irrational evaluating attributes. Therefore more education of the consumers and more information about life-insurance purchases are necessary. Especially low-income households and first step of family life-cycle families are turned out to need more education as well as more information.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.17
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• pp.93-125
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• 2002

This paper aims to find a reasonable solvency margin system in non-life insurance industry and also to evaluate the appropriateness of the current solvency margin regulation system in Korea. The current solvency margin system in Korea, based on EU's solvency margin model, was introduced during the 1997 financial crisis. The solvency requirement is not based on non-life insurer's risk, but simply on written premiums. The current solvency margin for general insurance, such as fire, marine, and automobile insurance, is determined by the greater between a premium-based amount and a claim-based amount, where the premium-based solvency margin is calculated by multiplying the net written premium for the preceding year by the premium based solvency margin ratio. Also, the amount of solvency margin for long term insurance is set at 4% of the policy reserve of the long term insurance. Still, there exist many differences between the current solvency margin regulation system in Korea and EU's model. This paper focuses on the rationality of the solvency margin regulation system, and compares the current system in Korea with EU's model and the RBC(Risk Based Capital) system in U.S. and Japan. Finally, this paper suggests a more specific and reasonable solvency margin system to be developed in Korea.

• The Journal of the Korean life insurance medical association
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• v.32 no.1
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• pp.15-20
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• 2013

The exercise ECG test is a well-established, inexpensive, and non-invasive procedure for answering important clinical questions related to heart problems. The heart disease is directly led to mortality and serious issue to insurance medicine. Here is some evidence for interpretation of exercise ECG test results can determine prognosis of the heart disease.

• The Journal of the Korean life insurance medical association
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• v.1 no.1
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• pp.140-147
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• 1984

We've reviewed 5,067 cases of claims by death that had occured for about 5 years from January, 1979 to October, 1983. As a result, We came to following conclusions; First, the greater part of deaths above mentioned were due to the Disease of Adult such as the Malignant neoplasm(18.4%), a Heart disease(10.4%), Liver cirrhosis(9.1%) and the Cerebrovascular disease(7.6%) as well as Accidental Death(26.5%), which were occupied by 72% of the whole. Second, classifying them by medical examination or non-medical, deaths in case of non-medical examination showed 80.8% of the. whole. And for age, sections ranging from 40 to 49 and from 30 to 39 took the overwhelming portions by 36.9% and 29.8% respectively, both of which showed 66.7% of the whole. Third, for the period elapsed, deaths within 1 year from the entrance showed 21.3% and that from 1 years to under 2 years, 19.9%. Thus the rate of early death under 2 years stood for 41.2% of the whole. Fourth, for occupation of the insureds, commerce occupied 20.4%, company employees 14.4%, agriculture 13.3%. These three categories marked 48.8% of the whole. From this, it appeared that the accidental death rate of the insured with the risky occupation was much greater than orthers.