• International Journal of Contents
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• v.8 no.3
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• pp.52-56
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• 2012

This study examines whether the infant mortality rate and life expectancy at birth are affected by health care expenditure in Korea. It can be provisionally concluded that the infant mortality rate tends to be affected by the health system itself in the long-run, whereas life expectancy at birth is immediately affected by health-related facilities such as the number of physicians and number of hospital beds in the short-run. Therefore, the health-related system should be well established to improve the infant mortality rate. On the contrary, physical capital such as life-prolonging medical technologies has to be accumulated to improve life expectancy at birth.

• Journal of Preventive Medicine and Public Health
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• v.22 no.1 s.25
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• pp.25-28
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• 1989

Sixty-two medical records of patients with coal workers' pneumoconiosis who died in hospital as coal workers' pneumoconiosis were analysed for study of the relationship between forced expiratory volume in one second ($FEV_1$) and life expectancy in coal workers'pneumoconiosis. In the group who died of asphyxia from hemoptysis, life expectancy were well fitted with $FEV_1$(p<0.05). But others were not well fitted to simple linear regression equation. The prevalence of ECG sign of col pulmonale was more in the group of cardiorespiratory failure than asphyxia group. So, in the case of far advanced cor pulmonale, it was difficult to predict life expectancy by simple linear regression equation

• YAKHAK HOEJI
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• v.56 no.1
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• pp.66-69
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• 2012

This study aims to assess the aggregate contribution of new drugs to the increase in life expectancy. We constructed a panel data combining mortality data in KOSIS and a drug dataset generated by assigning new drugs listed in 2000~2009 to their respective ICD codes. We found that 10% increase in stock of new drug led to 0.13~0.27% increase in the probability of survival to age 65. Due to lack of disease-specific life table, we used indirect approach to estimate the effect of new drugs on longevity. Using ordinary least squares, the estimate of the probability of survival to age 65 (logarithm) on life expectancy for all ages was 24.92. In conclusion, the increase in life expectancy of the entire population in Korea between 2000 and 2009 resulting from NMEs is 1.95 years, which explains 46.6% of real increase in life expectancy.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.6
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• pp.1143-1154
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• 2001

This research aimed to examine consumer's expectancy disconformation related to purchase satisfaction/dissatisfaction and post-purchase behavior in cable TV home shopping. A total of 700 questionnaires were randomly sent to cable TV home shoppers and 172 copies were used in final analysis. Frequency analysis. correlation analysis, analysis of variance, regression analysis, path analysis, and multinominal logit were used. The expectancy discoformation on \"fitting\" and \"how well the clothes suits oneself\" were significantly related to the complaint behavior of return and refund. TV home shoppers tended to express their complaints by requesting the home shopping company or the manufacture company for a compensation rather than express privately such as warning friends, stop buying and boycotting the item. The significant variables that would influence consumers to seek refund rather than exchange were purchase satisfaction, request of compensation to the company, overall expectancy disconformation and expectancy disconformation on decoration and details and suiting oneself.

• The Journal of Korean Academic Society of Nursing Education
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• v.20 no.3
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• pp.392-401
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• 2014

Purpose: The purpose of this study was to examine the mediating effects of alcohol outcome expectancy and depression on the relation between parents' problematic drinking and their collegiate children's problematic drinking. Methods: This study was conducted using a descriptive survey design. Subjects were 342 university students from three universities in Gwangju city and Jeollanamdo. Data were collected from November to December 2013 using self-report questionnaires. Data were analyzed using SPSS 19.0. Results: Of the participants, 31.0% were in the adult children of alcoholics (ACOA) group. The ACOA group scored significantly higher on problem drinking, alcohol outcome expectancy, and depression measures than did the non-ACOA group. There were significant positive correlations between parent problematic drinking and university students' alcohol outcome expectancy, depression and, problematic drinking. It was also found that alcohol outcome expectancy partially mediated the relationship between parent problematic drinking and their children's problematic drinking. This was not found for depression. Conclusions: Based on the present findings, nursing interventions should be developed to decrease alcohol outcome expectancy, with additional consideration regarding depression, in order to prevent problematic drinking among ACOA.

• The Journal of Information Systems
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• v.28 no.3
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• pp.159-202
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• 2019

Purpose The purpose of this study is to explain users' wearable healthcare device adoption using performance expectancy, effort expectancy, the hedonic motivation and price value of UTAUT2, and to identify the causal relationship between intention to use wearable healthcare device and innovation resistance formed by perceived risks. Design/methodology/approach The research model proposed in this study is based on UTAUT2(Extended Unified Theory of Acceptance and Use of Technology) and MIR(Model of Innovation Resistance). In specific, performance expectancy, effort expectancy, hedonic motivation and price value of UTAUT2 and innovation resistance formed by perceived risks of MIR 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. Findings According to the empirical analysis results, this study confirms that the performance expectancy, effort expectancy, hedonic motivation, and price value have significant effects on the intention to use wearable healthcare devices. It also finds that perceived risk affects innovation resistance and in turn, innovation resistance affects the intention to use wearable healthcare devices.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.79-90
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• 2021

The purpose of this research is to identify factors affecting the acceptance and use of e-tax services among medium taxpayers in Phnom Penh, Cambodia. The researcher conducted the study based on a quantitative approach by using multi-stage sampling method, which selects a sample size by two or more stages. The first stage sampling was the stratified random sampling and the subsequent stage was purposive sampling. In this study, the stratified random sampling was first used, followed by purposive sampling. The data were collected from 450 medium taxpayers who experienced using e-tax services located in three tax branches in Phnom Penh. This study adapted the confirmatory factor analysis (CFA) and structural equation model (SEM) to analyze the model accuracy, reliability and influence of various variables. The primary result showed that behavioral intention has a significant effect on user behavior of e-tax services among medium taxpayers in Phnom Penh, Cambodia. Moreover, the results revealed that performance expectancy, effort expectancy, social influence, and anxiety have significant impact on behavioral intention. In addition, social influence has the strongest impact on behavioral intention, followed by anxiety, performance expectancy and effort expectancy. Conversely, facilitating conditions, trust in government, and trust in internet do not influence behavioral intention.

• The Research Journal of the Costume Culture
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• v.31 no.4
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• pp.489-503
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• 2023

This study utilized the unified theory of acceptance and use of technology 2 (UTAUT2) to examine usage intentions associated with virtual fitting services. Six independent variables were examined: performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, and habit. The study collected responses from 445 participants who had utilized virtual fitting services. Regarding factors related to usage intentions associated with these services, performance expectancy and social influence were found to significantly influence the usage intentions associated with photo-based virtual fitting services. Furthermore, performance expectancy, social influence, and habit significantly influenced the usage intention of avatar-based virtual fitting services. This suggests that higher levels of performance expectancy and social influence positively impact the usage intentions associated with both types of virtual fitting services, while habit influences only avatar-based virtual fitting services. Moreover, the findings confirm that effort expectancy, facilitating conditions, and hedonic motivation from UTAUT2 do not significantly influence usage intentions associated with virtual fitting services. By analyzing factors influencing potential customers' virtual fitting service usage intentions, this study can suggest effective strategies to increase usage intentions for companies providing virtual fitting services. Additionally, these findings can be utilized in the formulation of virtual fitting service marketing strategies.

• Korean Journal of Organic Agriculture
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• v.28 no.3
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• pp.315-334
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• 2020

This study was conducted to analyze factors affecting acceptance of smart farm technology. Smart farm technology is rapidly being introduced to agriculture in accordance with the progress of the 4th Industrial Revolution, but research on this is still little. Therefore, in this study, based on the unified theory of acceptance and use of technology (UTAUT), a research model reflecting the characteristics of smart farm technology was constructed. To test this, empirical analysis was performed. A survey was conducted for students in smart farm technology education and adult male and female farmers who are currently planning to operate smart farms. Valid 204 sample were used for analysis. The hypothesis test was based on multiple regression analysis using SPSS 24 statistical package. For the mediating effect and moderating effect, Process Macro 3.4 based on the regression equation was used. The results of testing the hypothesis are as follows. First, in the causal hypothesis test, it was shown that performance expectancy, social influence and price value have a significant positive effect on the intention to use smart farm technology. On the other hand, effort expectancy, facilitating conditions were not tested for a significant influence on the use of smart farm technology. As a result of analyzing the mediating effect of trust, it was found that trust plays a mediating role between performance expectancy, effort expectancy, social influence, facilitating conditions, price value and intention to use smart farm technology. In particular, the effort expectancy has not been tested for a direct significant effect on intention to use smart farm technology, but it has been shown to have an impact through trust. Trust was found to be a full mediating between the effort expectancy and the intention to use the smart farm technology. The current IT level of prospective users has been shown to play a moderating role between performance expectancy, facilitating conditions and intention to use smart farm technology. In particular, the IT level was found to strengthen the relationship between performance expectancy and intention to use smart farm technology. Based on the results of these studies, academic and practical implications were suggested.

• Korean Journal of Cognitive Science
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• v.17 no.3
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• pp.177-190
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• 2006

Present study was investigated to measure the influence of expectancy on emotional information processing. For inducing an expectancy for emotional stimulus, participants conducted three same blocks in which negative face was presented for prime in 75% of total trials(Group1) or three same blocks in which positive face was presented in 75% of total trials(Group2). We compared the means of RTs of two blocks conducted after and before these induction blocks. Results exhibited that participants in Group 1 allocated more attention after expectancy induction. This indicate that in normal population, the top-down processing like expectancy can influence emotional processing pattern related to negative information.