• Proceedings of the Korea Society for Industrial Systems Conference
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• 2008.10b
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• pp.91-95
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• 2008

본 연구의 목적은 신규 금융보안서비스(OTP, HSM)의 채택에 있어 개인사용자에게 영향을 미치는 요인을 도출하고자 함에 있다. 연구방법으로는 기술수용모형(TAM)을 기반으로 새롭게 보안에 관한 변수를 추가하여 확장된 기술수용모형을 사용하였다. 현재 등급별 이체한도에 따라 기업의 거래이용수단에 적용되는 제약은 향후 개인사용자에게의 확대될 예정이다. 따라서 본 연구는 개인사용자를 대상으로 하여 실증적인 연구를 실시하였다. 분석 결과, 신규 금융보안서비스의 채택에 있어서 개인사용자는 인지된 편의성과 보안성을 직접적으로 수용의도에 반영하지는 않지만 인지된 유용성을 통해 간접적으로 반영하고 있으며 직접적으로 수용의도에 영향을 미치는 요인으로는 인지된 유용성만이 유일한 것을 밝혀내었다. 따라서 본 논문은 금융보안서비스가 개인에게 확장될 경우 가장 중요한 요인이 인지된 유용성이라는 사실과 인지된 유용성은 보안성보다는 사용자의 용이성에 더 많은 영향을 받음을 확인함으로써 향후 실사용자가 될 대상에게 더 유용하고 용이한 금융보안서비스를 제공해야 함을 시사하는 바이다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.1
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• pp.17-31
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• 2020

In this study, a study was conducted to analyze the factors affecting the acceptability for autonomous vehicles. The previous studies were reviewed to sturdy the acceptance factors and The PLS Structral equation model was used to analyze the acceptance factors. While the existing research focused on technical safety, this study comprehensively analyze safety, convenience, economy, environment, and ethical factors. The PLS model was analyzed to significant the factors that affect the acceptability for autonomous vehicles in the order of safety, economy, convenience and environment.

• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 1996.10b
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• pp.45-53
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• 1996

한전은 1995년 5월에 가격기능에 의한 수요관리 효과를 증진시키기 위하여 계절·시간대별 차등요금(이하 계시별 요금)을 대폭적으로 변경하였다. 본 연구는 이와 같은 요금구조 변경에 대한 수용가의 반응도 분석을 위한 것이다. 이를 위하여 요금구조 변경전인 95년 4월을 기준으로 1년후인 1996년 4월의 일반용(을) 및 산업용(병) 갑 및 을 종별에 대한 가격탄력성과 수용가의 부하패턴 변화를 측정하였다. 가격탄력성은 산술적 모형을 이용하면 산업평균 최대부하 시간대가 -0.0121, 중부하 및 경부하 시간대가 각각 -0.0788 및 -0.0012으로 산출되었다. 또한 회귀모형을 이용할 경우 최대부하 시간대가 -0.0126, 중부하 시간대가 -0.0018 및 최대부하 시간대가 0.0006로 나타났다. 한편 계시별 요금에 대한 수용가의 반응성은 다음과 같이 요약할 수 있다. 첫째, 계시별 요금이 피크시간대에 매우 낮으나 분명한 수요감소에 영향을 주고 있다. 둘째, 산업별로의 수용가의 반응성이 매우 다르다. 셋째, 상업용 수용가의 반응도가 매우 낮다. 넷째, 같은 가격탄력성은 수용가의 규모가 클수록 가격 변화에 대한 수용가의 반응성은 낮은 것으로 나타났다.

• Environmental and Resource Economics Review
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• v.30 no.1
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• pp.49-77
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• 2021

This study uses a choice experiment approach to examine whether different types of feedstocks as well as other attributes such as the cost of bioethanol, bioethanol blending ratio, and government support policies affect consumers' biofuel preferences. We apply a standard conditional logit model, a mixed logit model (MLM), and individual coefficient estimation model (ICM) to estimate the parameters of the investigated attributes. The results show that people prefer domestic and non-food feedstock, along with tax exemption as a support policy. All the attributes show unobservable preference heterogeneity in the MLM and ICM. In particular, willingness to pay for attributes are higher in the genetically modified (GM) feedstock-unknown group than in the known one. We show the importance of using domestic and non-food feedstocks and managing GM feedstocks carefully to avoid consumer resistance when producing bioethanol in South Korea.

• Journal of the Korea Society of Computer and Information
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• v.18 no.7
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• pp.183-190
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• 2013

This study aims to analyze the relationships among factors which influence acceptance intention of smart education. Based on literature reviews related with previous technology acceptance models, a potential model and seven hypotheses were suggested. Questionnaire was carried out among 132 students from elementary and secondary schools. They have experiences of utilizing applications of mobile devices for instructional goal. Cronbach alpha of the questionnaire was .78. The collected data were analyzed through path analysis. The results of this research are as follows. Seven hypotheses were adopted: Interaction will affect on perceived usefulness, Interaction will affect on perceived ease of use, Interaction will affect on acceptance intention, Interaction will affect on social influence, Social influence will affect on perceived usefulness, Perceived usefulness will affect on acceptance intention, Perceived ease of use will affect on acceptance intention. The model revised through the results of path analysis had good-fitness. That is, overall fit measures (RMSEA, CFI, NNFI), indexes that show the suitability of the model were quite good.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.2
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• pp.302-310
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• 2018

This study was conducted to develop a unified structural model that defines relationships among factors that affect Multi Cultural Acceptance (MCA) for adolescents. This study was performed using the dataset from the 2016 Korean Children and Youth Panel Survey (KCPS). We analyzed the survey result from the dataset at the 0.05 significance level using the SPSS and AMOS version 22 programs. Specifically, we investigated several demographic characteristics of the survey participants by a descriptive analysis method that adopted the maximum likelihood estimate method to verify the fitness of the hypothetical model and the hypotheses therein. In addition, we applied the ${\chi}^2$-test, GFI, AGFI, CFI, IFI, and RMSEA to show the fitness level of our structural model. The results showed that our proposed structural model demonstrated a fine fitness level. We found that key factors that affect MCA for adolescents were ego-resilience, peer relationships, and sense of community. Overall, the results of our study indicate that combinational intervention is needed to help adolescents lift their ego-resilience, as well as to develop peer relationships and a sense of community.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.2
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• pp.35-52
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• 2023

Recently, as the non-face-to-face environment has developed due to COVID-19 and environmental pollution, the importance of online digital healthcare is increasing, and venture start-ups and activities such as health care, telemedicine, and digital treatments are also actively underway. This study conducted the impact on the acceptability of digital healthcare smartwatches with an integrated approach of the expanded integrated technology acceptance model (UTAUT2) and the behavioral inference model (BRT). The most advanced integrated technology acceptance model for innovative technology acceptance research was used to identify major factors such as utility expectations, social effects, convenience, price barriers, lack of alternatives, and behavioral intentions. For the study, about 410 responses from ordinary people in their teens to 60s across the country were collected, and based on this, the hypothesis was verified using structural equations after testing reliability and validity of the data. SPSS 23 and AMOS 23 were used for research analysis. Studies have shown that personal innovation has a significant impact on the reasons for acceptance (use value, social impact, convenience of use), attitude, and non-use (price barriers, lack of alternatives, and barriers to use). These results are the same as the results of previous studies that confirmed the influence of the main value of innovative ICT on user acceptance intention. In addition, the reason for acceptance had a significant effect on attitude, but the effect of the reason for non-acceptance was not significant. It can be analyzed that consumers are interested in new ICT products and new services, but purchase them more carefully and selectively. This study has evolved from the acceptance analysis of general-purpose consumer innovation technology to the acceptance analysis of consumer value in smartwatch digital healthcare, which is a new and important area in the future. Industrially, it can contribute to the product's purchase and marketing. It is hoped that this study will contribute to increasing research in the digital healthcare sector, which will play an important role in our lives in the future, and that it will develop into in-depth factors that are more suitable for consumer value through integrated approach models and integrated analysis of consumer acceptance and non-acceptance.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.12
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• pp.2989-2996
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• 2014

The aim of this study was to search for the effects of health self-efficacy and technology self-efficacy on user's behavioural intention by the extended TAM focused on smartphone base ubiquitous health system. In this research, in view of small sample size, PLS - SEM methodology was applied to this study in order to the proposed research model. As a result of analysis, the statistical fitness of proposed research model was confirmed through GoF value and the path coefficient was calculated for the hypotheses test. Finally, the implications of analysis result showed that when the use of smartphone device could be easily accessed in the side of technology self-efficacy, the possibility of user's behavioural intention also might be higher.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.877-884
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• 2013

As the Cloud Computing services are growing fast in the world, the number of Cloud Computing service users are being increased enormously in China. Studies on Intention-to-Use have been one of the interesting topics in the field of marketing. In this paper we investigate the factors influencing the intention-to-use of Cloud Computing services in China. Our research model is based on Technology Acceptance Model and includes 'privacy', 'information needs', 'service types', 'service appropriation', 'system quality', and 'system security'. We surveys the Chinese Cloud Computing service users and analyzes with Structural Equation Model. The results show that 'privacy', 'service appropriation', 'system quality', and 'system security' give positive effects to 'intention-to-use'. However, 'information needs' and 'service types' does not give positive effects.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.5
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• pp.209-225
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• 2009

This research has been studied to analyze affecting factors for the consumer's acceptance to mobile advertisement by worldwide survey into mobile users of Korea, U.S. and Japan. Based on TAM & Flow theory, our research adopts some factors for a theoretical model such as entertainment, information, irritation, credibility, flow experience, attitudes and acceptance intention. And our research collects data from common consumers & students of each countries to try comparative study with mobile users who has different scope & environment of markets. This data was analyzed based on using AMOS, the structural equation modeling and a second-generation multi variant technique, and has gained distinct advantages over other technique.