• Korea journal of population studies
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• v.19 no.1
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• pp.123-137
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• 1996

The goal of this study was to measure the level of health quantitatively by combining mortality and morbidity level of the Korean people. The 1989 Life Table was used for the mortality data. For the morbidity data, the 15-day morbidity survey (10, 940) the hospitalized patient survey (1, 770), chronic morbidity survey (7, 241) of the 1989 National Health Sunvey conducted by Korean Institute of Health and Social Affairs were utilized. The life table analysis technique of Sullivan was adopted. The morbidity period and disability period required for this method were estimated by measuring disability period rate and disability rate. The disability free life expectancy was estimated by excluding disability life expectancy from life expectancy. In case of males, the disability-free life expectancy at birth was 60.48 years. In case of females, the disability-free life expectancy at birth was 63.80 years. The percent of disability-free life expectancy to life expectancy was 90.63% at birth in case of males and 85.20% in case of females. The portion of females was lower than that of males in all age brackets. Therefore, the percent of time spent without disability condition to life expectancy was higher for females than males. Estimating disability-free life expectancy by region, it was 61.52 years at birth in urban area and 59.34 years in rural area in case of males. In case of females, it was estimated to be 64.60 years in urban area and 63.08 years in rural area. The life expectancy of Koreans was 66.73 years for males and 74.88 years for females, 8.15 years higher than males while disability-free life expectancy was 60.48 years for males, 63.80 years for females, only 3.32 years higher than males.

• Journal of the Korean Home Economics Association
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• v.38 no.9
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• pp.131-142
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• 2000

This paper is made an analysis as to how much influence is affected to the residential satisfaction by information search and expectancy conformity/nonconformity. The above mentioned analysis results in that information search and expectancy conformity/nonconformity appear to be influential factors to explain the residential satisfaction after purchase. Especially, the more the expectancy of pre-purchase and the performance of post-purchase equal, the higher the residential satisfaction. In addition, even if a slight difference emerges in the domain of the residential satisfaction, it appears that the more information search is conducted, the higher the residential satisfaction and information from salesman or reference group affect on the expectancy conformity/nonconformity. When purchasing housing, to search more information shows that the expectancy of pre-purchase gets close to the performance of the post-purchase, that is to say, to the positive residential satisfaction.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.1
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• pp.97-108
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• 2018

The objective of this study will investigate the approach to increase the intention to use Internet primary bank for those who do not use it at present. This study establishes a theoretical model that includes five independent variables - performance expectancy, effort expectancy, social influence, channel trust and trust toward bank - and one dependent variable - use intention -. The empirical results obtained in a sample of 145 university students are followings; The use intention is positively influenced by the performance expectancy, social influence and channel trust. The performance expectancy is the strongest predictor of the use intention. Effort expectancy and trust toward bank has no effect on intention to use Internet primary bank.

• The Journal of Information Systems
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• v.25 no.2
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• pp.27-50
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• 2016

Purpose The purpose of this study is to examine the effect of the acceptance intention towards healthcare wearable device in Korea. Specifically, this study attempted to identify the relationships among the acceptance intention towards healthcare wearable device, technical characteristics and user's personal characteristic based on UTAUT(Unified Theory of Acceptance and Use of Technology) model. Design/methodology/approach For this purpose of research, we conducted against consumers who use the wearable devices and we collected data from 219 wearable device users. The analyses were conducted using SPSS and AMOS19.0 which is powerful structural equation modeling (SEM) software. Findings The main findings are as followed; First, functional diversity, wearability, trend sensitivity and health perception are significantly related to performance expectancy, while visual aesthetic and enjoyment are not significantly related. Second, performance expectancy and effort expectancy are significantly related to acceptance intention towards healthcare wearable device. Third, effort expectancy is significantly related to performance expectancy.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.3
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• pp.185-198
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• 2012

This paper is to analyze consumer's acceptance phase of innovative IT product on the ground of dividing into product and application phase. In the acceptance phase of product determinants to consumer's satisfaction were analyzed and TAM(Technology Acceptance Model) were applied to the acceptance phase of application. It is analyzed that how well expected usefulness and perceived satisfaction to product have positively influence its performance and perceived satisfaction respectively in the acceptance phase of the product. In the acceptance phase of application, factors to consumers' satisfaction were analyzed to investigate its influence to the usefulness of application. Usefulness expectancy to the application and product were analyzed to figure out consumers'intention to use the product and effort and cost going into application use were also analyzed. Empirical study was implemented aimed at smart phone users. As a result, perceived usefulness expectancy to product have positively influence on perceived product performance and perceived product performance also affects perceived product satisfaction significantly. Although product satisfaction doesn't affect usefulness expectancy to the application, usefulness expectancy to the product and perceived product performance have positively influence on usefulness expectancy to the application significantly. And also usefulness expectancy to the both of application and product have positively influence on consumer's intention to use the product but consumer's effort and cost going into application doesn't affect to it, it's hold forth the possibility that consumer's effort affect consumer's intention to use the product.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.801-808
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• 2021

The issue of the relationship between environmental degradation and human health has been widely addressed by medical doctors. However, economists have sparsely debated it. The release of carbon dioxide (CO2) into the air can cause several environmental problems and, thus, it can affect human health. Therefore, it is imperative to examine the effect of CO2 emissions on life expectancy in the D-8 countries (Malaysia, Indonesia, Bangladesh, Nigeria, Egypt, Iran, Pakistan, and Turkey) from 1992 to 2017. The panel ARDL method is employed and, then, the PMG estimator is selected. The results show that economic growth, population growth and health expenditure can significantly and positively affect life expectancy, but CO2 emissions can have a significant and negative effect on life expectancy. Since, the major findings reveal that life expectancy can be explained by CO2 emissions. Hence, it is important to formulate policies on reducing CO2 emissions so that life expectancy will not be affected. Energy diversification policies should be formulated or improved in some countries. This is to ensure that the countries are not highly dependent on non-renewable energy that can harm the environment. The government should increase its expenditure on the health sector to save more lives by extend human lifespan.

• Korea journal of population studies
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• v.16 no.2
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• pp.65-83
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• 1993

The purpose of this study is estimate limits of Korean life expectancy at birth by 'Gompertz growth curse Model', 'Cause-Elimination Model' and Multidimensional models of Senescencee and Mortality'. Data used in Gompertz curve were obtained from all life tables published from 1905 to 1990 in Korea, and life expectancies at birth of eighteen groups were selected at five-year interval in consideration of time-series changes. Data used in Cause-Elimination Model are 'Cause of Death statistics in 1991' published in 1992 by National Bureau of Statistics of Korea and 'life table of 1989' published in 1990 by National Bureau of Statistics, Economic Planning Board of Korea. The materials are all classifiable death data, 119, 253 cases of male and 82, 420 cases of female, which is from 1991 Causes of Death statistics. The cases of death analyzed belong to one of 8 categories; i.e., Infectious and Parasitic Diseases(001-139; with notation of Infectious Diseases), Malignant Neoplasms(140-208), Hypertensive Diseases(401-405), Ischemic Heart Dieases and Diseases of Pulmonary Circulation and Other Forms of Heart Diseases(410-429;with notation of Heart Disease), Cerebrovascular Diseases(430-438), Chronic Liver Diseases and Cirrhosis(571; with notation of Liver Diseases), Injury and Poisoning(800-999) and all other disease. Data used in 'Multidimensional models of senescence and mortality' were life table of 1989 published by National Bureau of statistics, Economic Planning Board of Korea and life table of 1970, 1978-79, 1983, 1985 and 1987. The major findings may be summarised as follows: 1. Estimate equations of Gompertz growth curve using life expectancy at birth during the 1905-1990 period are as the following. Male : y = 88.047697 $\times$ $0.199690^{0.903381x}$ Female : y = 95.632828 $\times$ $0.199690^{0.903381x}$ Limits of life expectancy at birth, which were estimated by Gompertz growth curve, are 88.05 for male and 95.63 for female. 2. The effect on life expectancy at birth eliminationg all causes death is 14.04 years(for male) and 10.86 years(for female). Astonishingly, eliminating the malignant neoplasms increase life expectancy at birth by 2.85 years for male 2.03 years for female in 1991. In table 8 we show the effect on life expectancy at birth of separately eliminating each of the 8 categorical causes of death. The theoretical limit to life expectancy by Cause-Elimination Model is 80.96 for male and 85.82 for female. 3. If the same rate of delay [0.376 year(male), 0.435 year(femable) per calendar year] continued, then life expectancy at birth would reach 74.82(male) years and 84, 10(female) years in 2010. With 14.04-years(male) and 10.86-years(female) effect attributable in 2010 would be 88.86 years(male) and 94.96(femable) years. 4. 'Multidimensional models of senescence and death' permits calculations of the value of the attribution coefficient (B), percent of loss per year of physiologic function. The results of Ro and B during the 1970-1989 period are listed in table 9. Estimate of limit to Korean life expectancy at birth by 'Multidimensional models of senescence and death' is 99.47 years for male and 104.74 years for female in 1989.

• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.129-143
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• 2020

The purpose of this study is to explain users' wearable healthcare device adoption using performance expectancy, effort expectancy, facilitating condition, hedonic motivation and price value of UTAUT2, and to identify the causal relationship between intention to use wearable healthcare device and innovativeness. The research model proposed in this study is based on UTAUT2(Extended Unified Theory of Acceptance and Use of Technology). In specific, performance expectancy, effort expectancy, facilitating condition, hedonic motivation and price value of UTAUT2 and innovativeness are adopted in our research model. To validate the research model, we carry out the analysis of the survey data using Smart PLS 3.0 to test the hypotheses. According to the empirical analysis results, this study confirms that Innovativeness have significant effects on the performance expectancy, effort expectancy, Facilitating condition, Hedonic motivation, and price Value of wearable healthcare devices. It also finds that the performance expectancy, effort expectancy, Facilitating condition, hedonic motivation, and price value affects the intention to use wearable healthcare devices.

• The Journal of Korean Society for School & Community Health Education
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• v.22 no.2
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• pp.75-91
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• 2021

Purpose: The purpose of this article is to clearly describe research trends on health life expectancy using oral health indicators that have been published from 2010 to 2020 then suggest the direction of future research. Methods: Online academic databases in English (PubMed, Web of Science and Embase) were used to find those articles by applying a variety of keywords, including terms (adjusted life year, adjusted life expectancy, dental and oral). We identified relevant articles based on the following classification method of Mathers: (1) health gaps, (2) health expectancies. Results: Among 1,728 articles from the online databases, the final 13 studies satisfied the inclusion criteria and were selected for analysis. Health life expectancy studies indicate that research growth was recently achieved overseas. Among the literature collected in this study, 10 studies using health gap indicators yielded seven Disability-Adjusted Life Year (DALY), and three calculated Quality-Adjusted Life Year (QALY), which differed in the nature of the survey data used in the study measuring DALY and QALY. There are only three health expectancies and the number of papers were smaller than the health gap study. Conclusion: Establishing a foundation to calculate health life expectancy indicators through the development and improvement of oral health level are needed. More studies in the area of health life expectancy estimation research is based on actual prevalence and oral health-related quality of life are also needed.

• The Journal of Information Systems
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• v.22 no.1
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• pp.181-200
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• 2013

Electronic channel of automobile insurance has emerged as an attractive way of lowering costs and saving time to do the transaction for customers. Electronic channel refers to using web sites to find useful information on insurance products, buy automobile insurance, and ask for services related to the insurance. This study suggests a modified model of the UTAUT and examines the factors influencing intention to use electronic channel in the transaction of automobile insurance. Based on 203 responses from potential automobile insurance buyers, the results showed that performance expectancy, effort expectancy, social influence, service expectancy, and security risk are significantly related to intention to use electronic channel. The results also showed that age as a moderator influences the effects of performance expectancy and effort expectancy on intention to use electronic channel. The study results would improve the understanding of the factors to which managers of insurance companies should pay attention in order to increase their sales through electronic channel.