• Journal of East-West Nursing Research
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• v.20 no.2
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• pp.121-128
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• 2014

Purpose: The purpose of this study was to examine the influence of alcohol outcome expectancy, depression and suicidal ideation on problematic drinking among college students. Methods: This study was conducted using a descriptive survey design. Participants were 205 college students from two universities in Jeollanamdo. Data were collected from March 10 to March 25 in 2014 using self-report questionnaires. Data were analyzed by t-test, ANOVA, Pearson correlation coefficient and multiple regression using SPSS 19.0. Results: Of the participants, 57.6% were in problem drinking group. There were significant positive correlations between alcohol outcome expectancy, depression and problematic drinking of college students. However, suicidal ideation was not correlated with problematic drinking. It was also found that alcohol outcome expectancy, low academic performance and depression influence on problem drinking of college students. These variables did not influence on suicidal ideation. Conclusion: Based on the findings, problem drinking prevention programs should be developed to decrease alcohol outcome expectancy and regulate negative emotions such as depression, in order to prevent problematic drinking among college students.

• Journal of Information Technology Services
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• v.16 no.2
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• pp.1-20
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• 2017

A bitcoin-based technology named blockchain is garnering attention in various industries as a cost-effective measure in strengthening security and a reliable technology medium. Blockchain technology will play a critical role in the Fourth Industrial Revolution, and IT technology is expected to bring fundamental changes. This study focuses on the characteristics of blockchain technology and the effects of the intention to accept its technology in an empirical manner. The aspects of the technology are organized by researching blockchain technology and theories of technology acceptability and previous studies were used as guidelines to create the research model and propose the hypothesis. The research model is based on UTAUT with a set-up of 5 factors for performance expectancy and effort expectancy. For empirical analysis, a survey was conducted on 283 IT workers in Korea, To examine the hypothesis structural equation modeling was used performance expectancy was influenced by security, reliability, diversity, and economic efficiency while effort expectancy was influenced by reliability and economic efficiency. Performance expectancy, social influence, facilitating conditions affect the intention to accept. Innovativeness of an organization and control effects are influenced as well. The present study aims to provide practical guidance as supplementary research in utilizing blockchain technology, and the limitations of the study and future research possibilities are discussed as well.

• Informatization Policy
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• v.23 no.1
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• pp.38-55
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• 2016

This study discusses the operating systems upgrade to motivation of windows users. To discuss this issues, research hypotheses were set based on Unified Theory of Acceptance Use of Technology(UTAUT) and Theory of Reasoned Action(TRA). The data were collected from undergraduate students. Total of 199 data were used for the analysis. The results of the analysis were summarized into two ways. first, performance expectancy and effort expectancy has a positive influence on attitude towards upgrade the operating systems. Second, social influence, facilitating conditions, and attitude had a positive influence on intention towards upgrade the operating systems. Thus, when users perceived a high degree of performance expectancy, effort expectancy, social influence, and facilitating conditions towards upgrade the operating systems, they evaluated more positively the upgrade the operating systems.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.123-129
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• 2018

This study aims m-learning based on UTAUT and learners' satisfaction For empirical analysis, a survey was conducted on 289 university students and SPSS 22.0, AMOS 21.0 were used. The result of structual equation modeling analysis are as follows: First, performance expectancy was influenced by security, diversity, economics. Second, performance expectancy, effort expectancy affect learners' satisfaction. This research provide practical guidance in m-learning based on UTAUT amd the limltation of this research and future study are discussed. In the future, variables of m-learning based on UTAUT including the general public besides university students will be complement to analyze.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.22 no.10
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• pp.49-55
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• 2008

This paper presents a novel evaluation method of life expectancy of power system equipment. The life expectancy means expected remaining lifetime; it can be usefully utilized to maintenance planning, equipment replacement planning, and reliability assessment. The proposed method is composed of three steps. Firstly, a cumulative probability for future years is evaluated for targeted age year. Secondly, the cumulative probability is modeled by well-blown cumulative distribution function(CDF) such as Weibull distribution. Lastly, life expectancy is evaluated as the mean value of the model. Since the model CDF is established in the proposed method, it can also evaluate the probability of equipment retirement within specific years. The developed method is applied to examples of generators of combined cycle power plants to show its effectiveness.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.11
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• pp.253-264
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• 2021

The COVID-19 pandemic has imposed a number of restrictions on the lives of people and services, forcing them to adopt a "New Normal" way of living. Contactless technologies provide a mechanism to reduce the risk of infection, encouraging people to use touchless payment methods. The aim of this study is to develop an integrated framework based on the Health Belief Model and the Unified Theory of Acceptance and Use of Technology to justify the use of mobile payment during the COVID-19 pandemic in Vietnam. Based on a survey of 434 samples, the proposed conceptual model was empirically justified using structural equation modeling (SEM). This study found that performance expectancy, effort expectancy, enjoyment, perceived severity, and perceived susceptibility significantly and positively influenced behavioral intention of using contactless payment technologies. In addition, this study discovered that effort expectancy, perceived severity, and perceived susceptibility all have a positive impact on performance expectancy, while enjoyment triggered users' effort expectancy. By adding novel insights into the literature on the acceptance of technology during the pandemic, this study makes a major contribution to justifying how contactless payment technologies can reduce the risk of getting infected by COVID-19.

• Journal of Industrial Convergence
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• v.5 no.2
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• pp.77-97
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• 2007

The 420 employees as subject for emprical analysis were selected in Banwol & Sihwa Industrial Complex in Ansan area. This study shows the followings; 1. In the group where the task is unstructured and the subordinate's ability is high, the achievement - oriented and participative leader behavior have positive impact on the subordinate's expectancy. 2. In the group where the task is unstructured and the subordinate's ability is low, the directive leader behavior has no significant impact on the subordinate's expectancy. 3. In the group where the task is structured and the subordinate's ability is high, the supportive leader behavior has positive impact on the subordinate's expectancy. 4. In the group where the task is structured and the subordinate's ability is low, only supportive leader behavior has positive impact on the subordinate's expectancy, and the directive leader behavior has on significant impact. Finally this study indicates the implication for future theoretical and empirical delelopment.

• Journal of Information Science Theory and Practice
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• v.10 no.3
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• pp.24-39
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• 2022

Online learning is becoming ubiquitous worldwide because of its accessibility anytime and from anywhere. However, it cannot be successfully implemented without understanding constructs that may affect its adoption. Unlike previous literature, this research extends the Unified Theory of Acceptance and Use of Technology with three well-known theories, namely compatibility, online self-efficacy, and knowledge sharing and acquisition to examine online learning adoption. A total of 264 higher education students took part in this research. Partial Least Squares-Structural Equation Modeling was used to evaluate the proposed theoretical model. The findings suggested that performance expectancy and compatibility were significant predictors of behavioral intention, whereas behavioral intention, facilitating conditions, and compatibility had a significant and direct effect on online learning's actual use. The results also showed that knowledge acquisition, knowledge sharing, and online self-efficacy were determinates of performance expectancy. Finally, online self-efficacy was a predictor of effort expectancy. The proposed model achieved a high fit and explained 47.7%, 75.1%, 76.1%, and 71.8% of the variance of effort expectancy, performance expectancy, behavioral intention, and online learning actual use, respectively. This study has many theoretical and practical implications that have been discussed for further research.

• Journal of East-West Nursing Research
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• v.15 no.2
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• pp.141-149
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• 2009

Purpose: This study investigates the level of expectancy, cognition, and work condition among smokers with respect to the smoking cessation clinics. Methods: The study participants included over 503 smokers aged 30 yr and in five districts of G city. The researcher and assistants personally visited homes and workplaces of the participants between November 20 and November 30, 2008 for the survey. Results: The subjects learned to smoke from their friends and started smoking when they were 15 out of curiosity. They smoked more than one cigarette every day. With respect to cognition, 67.5% of the subjects had no intention to utilize smoking cessation clinics, and 71.7% were unaware of their benefits. Those with a high level of cognition regarding smoking cessation clinics were generally in their 60s, married, residents in the Southern and Western Districts, service or technical workers, and hikers. The expectancy for the clinic was high among those who were married, Catholics, and golfers. Conclusions: The results suggest that smoking cessation may be achieved by increasing the level of cognition and expectancy among smokers. In this regard, providing information and implementing positive publicity campaigns targeting families, Places of worship, and workplaces may be beneficial.

• The Journal of Advanced Prosthodontics
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• v.16 no.2
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• pp.67-76
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• 2024

PURPOSE. This study aims to assess and predict lifespan of dental prostheses using newly developed Korean Association of Prosthodontics (KAP) criteria through a large-scale, multi-institutional survey. MATERIALS AND METHODS. Survey was conducted including 16 institutions. Cox proportional hazards model and principal component analysis (PCA) were used to find out relevant factors and predict life expectancy. RESULTS. 1,703 fixed and 815 removable prostheses data were collected and evaluated. Statistically significant factors in fixed prosthesis failure were plaque index and material type, with a median survival of 10 to 18 years and 14 to 20 years each. In removable prosthesis, factors were national health insurance coverage, antagonist type, and prosthesis type (complete or partial denture), with median survival of 10 to 13 years, 11 to 14 years, and 10 to 15 years each. For still-usable prostheses, PCA analysis predicted an additional 3 years in fixed and 4.8 years in removable prosthesis. CONCLUSION. Life expectancy of a prosthesis differed significantly by factors mostly controllable either by dentist or a patient. Overall life expectancy was shown to be longer than previous research.