• 한국유기농업학회지
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• 제28권3호
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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.

• 한국빅데이터학회지
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• 제9권1호
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• pp.17-30
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• 2024

본 연구는 ChatGPT의 지속 사용 의도에 영향 미치는 요인을 긍정적 동기요인(개인화, 사회적 영향)과 부정적 동기요인(프라이버시 침해, 지각된 위험)으로 구분하고 이것이 정보 신뢰, 성과 기대, 노력 기대를 통해 지속 사용 의도에 영향을 미치는지를 규명하였다. 이를 위해 ChatGPT 서비스의 이용 경험이 있는 20대 이상의 265명의 성인들을 대상으로 설문조사를 수행하였다. 분석 결과, 개인화와 사회적 영향은 정보 신뢰, 성과 기대, 노력 기대에 대해 정의 영향 영향을 미치는 것으로 나타났다. 프라이버시 염려의 경우, 성과 기대에는 부의 영향을 미쳤지만, 노력 기대에는 유의하지 않는 것으로 나타났다. 지각된 위험은 성과 기대와 노력 기대에 부의 영향을 미쳤다. 그리고 정보 신뢰, 성과 기대, 노력 기대는 지속 사용 의도에 정의 영향을 미치는 것으로 나타났다. 본 연구는 긍정요인에 초점을 둔 기존 연구의 범위를 확장한 것으로 이는 ChatGPT의 이해를 심화시킨다. 또한 ChatGPT의 지속 사용을 위한 유용한 방안을 제공한다.

• 디지털산업정보학회논문지
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• 제7권3호
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• pp.151-162
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• 2011

This study defined acceptance of high-tech new product as user's active using the product such as utilizing application software rather than purchasing it. As exploring factors to effect on customer's acceptance, usefulness expectancy was examined from product side and application side. When investigating the exogenous variables to influence on usefulness expectancy from the product side, customer's product knowledge and social influences are put forward to support the hypothesis. From the application side, customer's knowledge about the application and its trust are put to explain usefulness expectancy of the application. Smart phone users were good subjects for this study and most hypotheses were tested using structural equation model and the results are followings. First usefulness expectancy of the product and of application significantly effect on customer's intention to use high-tech new product and also usefulness expectancy of the product positively effects on which of the application. Second customer's perceived knowledge about the product and social influences impact usefulness expectancy of the product. But third customer's perceived trust toward application didn't any positive impact usefulness expectancy of the application. Through the result, there will be several implications. First, from both of side; product and application, customer's usefulness expectancy should be satisfied to be successful in high-tech products market. Second, customer should be Ieant about advantages of the product and knowledge about the application as well, and then trigger their usefulness expectancy.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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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.

• 한국산학기술학회논문지
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• 제18권8호
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• pp.181-189
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• 2017

무역 분야의 혁신 정보기술인 uTradeHub는 국가 전자무역 통합서비스로서 중소무역업체를 포함한 무역거래당사자들이 추가적인 투자 없이 인터넷을 통해 마케팅, 상역, 외환, 통관, 물류, 대금결제에 이르는 모든 무역 업무를 단절 없이 원스톱으로 처리할 수 있는 서비스를 제공하고 있지만 사용자의 불만이나 외면으로 방치되거나 지속적인 사용이 뒷받침되지 못함으로 인해 그 활용도가 높지 않은 편이다. 이에 본 연구에서는 uTradeHub 사용이 확산되고 있는 시점에서 통합기술수용이론에서 사용된 변인(성과기대, 노력기대, 사회적 영향, 촉진기반)을 uTradeHub의 지속적 사용에도 적용가능한지 이론적 틀을 검증하였다. 또한 이들 간의 관계에서 사용자 만족(매개효과)과 CEO지원(상호작용효과)의 역할을 규명해 봄으로써 uTradeHub 운영 전략 수립에 도움이 되는 기초자료를 제공하고자 하였다. 설문조사를 통해 회수된 응답지 총101부를 실증분석(SPSS 24.0) 자료로 활용하였으며, 연구결과는 다음과 같다. 첫째, 통합기술수용요인이 사용자 만족에 미치는 영향관계(H1)에서는 성과기대, 노력기대, 사회적 영향만이 사용자 만족에 유의한 영향을 미쳤고, 촉진기반은 유의하지 않았다. 둘째, 사용자 만족이 uTradeHub의 지속적인 사용에 미치는 영향관계(H2)에서는 유의한 결과를 보였다. 셋째, 사용자 만족의 매개효과 검증(H3)에서는 성과기대, 노력기대, 사회적 영향이 사용자 만족을 거쳐 지속적 사용에 영향을 미치는 완전매개효과를 보였다. 넷째, CEO지원의 상호작용 효과 검증(H4)에서는 성과기대와 사회적 영향이 사용자 만족에 미치는 영향관계에서만 상호작용 효과가 나타났다.

• 한국의상디자인학회지
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• 제25권1호
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• pp.97-113
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• 2023

This study investigates the effect of consumers' trust in communication with online fashion mall avatars on performance expectancy and re-use intention. For the empirical study, 207 adults were surveyed using a 5-point Likert scale, and the results were analyzed with SPSS 21.0. The analysis reveals the following results. First, the factor analysis of trust in communication with the avatar, performance expectancy, and re-use intention revealed cognitive and affective trust as subfactors of the trust in communication with the avatar, while purchase choice expectations and performance expectancy were identified as subfactors of performance expectancy for the avatar. A total of five factors, including re-use intention, were recognized. Second, the trust in communication with online fashion mall avatars significantly positively affected performance expectancy for the avatar. Among the subfactors, cognitive trust was determined to have a greater influence on purchase choice expectations than affective trust. Third, the performance expectancy for the online fashion mall avatar significantly positively affected re-use intention. Notably, the subfactor performance expectancy had a greater influence than purchase choice expectations. Finally, trust in communication with online fashion mall avatars significantly positively affected re-use intention. Accordingly, the sub-factor cognitive trust had a greater influence on re-use intention than affective trust. The results of this study are academically significant in that they empirically test the influence relationship between trust in communication, performance expectancy, and re-use intention, considering the personal characteristics of online fashion mall avatars on consumers using the Meta-UTAUT model in the fashion field.

• 약학회지
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• 제56권1호
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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.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권8호
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• pp.4162-4179
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• 2017

The main purpose of this research is to investigate relationships between the significant control factors on acceptance intention to User Experience (UX) sports smart wearable devices by applying Technology Readiness (TR) and Unified Theory of Technology (UTAUT). Research survey targeted on users of golf smart devices in Seoul. A total 534 questionnaires were collected and used for testing hypotheses. Methods to analyze the data included frequency analysis, reliability analysis, confirmatory factor analysis, correlation analysis, and structural equation modeling in accordance with the purpose of the study by using SPSS and AMOS. The results are as follows; First, positive TR had a significantly positive effect on social influence, effort expectancy, facilitating conditions, perceived enjoyment, performance expectancy. Second, negative TR had a significant negative effect on performance expectancy, social influence, facilitating conditions, perceived enjoyment. Third, TR had a no significantly effect on behavioral intention. Fourth, performance expectancy, perceived enjoyment and facilitating conditions had a significantly positive effect on behavioral intention. Fifth, behavioral intention had a significantly positive effect on use behavior. Thus it became crucial to identify the difference in acceptance intention models per each products are as follows. Positive TR of golf-related mobile application users has a positive effect on both technology acceptance belief and acceptance intention, whereas negative TR has no statistically significant effect on technology acceptance belief nor acceptance intention.

• 한국인구학
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• 제16권2호
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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.

• 벤처혁신연구
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• 제3권2호
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• pp.41-76
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• 2020

본 연구는 스마트팩토리 도입의도에 영향을 미치는 요인을 실증 분석을 통해 확인하였다. 4차산업혁명의 핵심분야인 스마트팩토리 도입에 있어서 어떤 요인이 중요하게 영향을 미치는가에 대한 연구이며, 아직까지 스마트팩토리 분야에서 기술 수용에 관한 연구가 부족한 상황에서 학술적 실무적 의의가 있다고 믿는다. 정보기술의 수용요인 연구에 설명력이 검증된 통합기술수용이론(UTAUT)을 기반으로 연구를 진행하였으며, UTAUT 이론의 4가지 독립변수인 성과기대, 노력기대, 사회적영향, 촉진조건에 추가로 스마트팩토리의 특성상 중요한 요인으로 예상되는 정부지원기대(Government Assistance Expectancy)를 독립변수에 추가하였다. 또한 스마트팩토리 기술수용의 기술적인 요인을 확인하고자 과업기술적합도(Task Technology Fit)변수 추가하여 스마트팩토리 도입의도에 미치는 영향관계를 실증 분석하였다. 또한 과업기술적합도의 선행변수인 과업특성(Task Characteristics)과 기술특성(Technology Characteristics)이 과업기술적합도에 어떠한 영향을 미치는지에 대한 분석도 진행하였다. 새로운 기술에 대한 신뢰(Trust)의 정도가 기술의 수용에 있어 매우 중요한 영향을 미칠 것으로 예상되어 신뢰를 매개변수로 추가하였다. 마지막으로 새로운 정보기술에 의한 혁신이 사용자에게 불가피하게 거부감을 야기할 수 있다는 선행연구들을 토대로 혁신저항(Innovation Resistance)을 조절역할을 하는 연구변수에 추가하여 실증적 검증을 진행하였다. 연구 결과 성과기대, 사회적 영향, 정부지원기대, 과업기술적합도는 스마트팩토리 도입의도에 정(+)의 영향을 미쳤다. 영향력의 크기는 정부지원기대(β=.487) > 과업기술적합도(β=.218) > 성과기대(β=.205) > 사회적영향(β=.204) 순으로 나타났다. 과업특성과 기술특성은 모두 과업기술적합도에 정(+)의 영향이 확인되었으며, 과업특성(β=.559)이 기술특성(β=.328)보다 과업기술적합도에 더 영향이 큰 것으로 나타났다. 신뢰에 대한 매개 효과 검정에서 6개 독립변수 각각과 스마트팩토리 도입의도 간에 신뢰의 통계적으로 유의미한 매개역할은 확인되지 않았다. 혁신저항의 조절효과 검정을 통해, 혁신저항이 정부지원기대와 스마트팩토리 도입의도 간 정(+)의 조절역할을 하는 것으로 나타났다. 즉 혁신저항이 크면 클수록 정부지원기대가 스마트팩토리 도입의도에 미치는 영향력이 혁신저항이 적은 경우보다 커지는 것으로 나타났다.