• 한국의류학회지
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• 제43권1호
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• pp.125-137
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• 2019

This study determined the impact of 'Fashion Augmented Reality (FAR)' acceptance factors based on the model of acceptance and use of technology (UTAUT) on consumer attitudes, intention to use technology, and fashion product purchase intention. A survey asked participants to have an AR experience using a FAR app to understand FAR in advance. Data were analyzed factor analysis and stepwise regression using SPSS. The results are as follows. First, the factor analysis classified the acceptance variables of FAR technology into 'social relations', 'shopping effectiveness', and 'easy to use FAR'. Second, among the three factors of FAR acceptance, 'shopping effectiveness' is statistically more influential on positive attitudes towards FAR. However, 'easy to use' factor was more influential on 'the intention to use technology' as well as 'purchase intention'. Third, 'social relations' were identified as an important factor affecting 'consumer attitudes', 'intention to use technology' and 'purchase intention' which are not well covered in fashion technology research. In addition, 'the intention to use technology' was found to be influential on 'purchase intention' and indicated the importance of easiness of FAR to enhance purchase intention.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.14-20
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• 2013

Substantial research has been performed on the data standards and exchanges in the AEC/FM industry over the past several years. The growing popularity of BIM technology is based heavily upon a perception that the technology can facilitate the sharing and reuse of information during a project life-cycle. Although many researchers and practitioners are in agreement about the potential applicability and benefit of BIM in construction, it is still unclear why BIM is adopted, and what factors enhance implementation of BIM. Thus, BIM acceptance and use remains a central concern of BIM research and practice. Therefore, we propose the key factors affecting the acceptance of BIM in construction organizations using factor analysis. The key factors for BIM acceptance are identified through a literature review in TAM (Davis 1989) and related theories, and consolidated by interviews and pilot studies with professionals in construction industry. Based on the factors, a questionnaire was designed and sent out to construction organizations such as contractors, architects, and engineers in Korea. Total 148 completed questionnaires were retrieved. Using factor analysis, key factors were grouped into six dimensions. These findings will clarify what the highly prioritized factors are, and can also be used in an assessment tool for the performance of BIM utilization.

• 한국정보통신학회논문지
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• 제13권12호
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• pp.2489-2497
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• 2009

본 연구는 u-Health 시스템을 대상으로 기술수용의 요인 탐색을 통해 정책적 시사점을 얻고자 하였다. 이러한 연구 목적을 위하여 u-Health의 개념 및 기술수용과 관련된 선행연구를 살펴보고, 로짓모형에 의해 u-Health 시스템 서비스의 수용에 영향을 미칠 수 있는 요인들을 살펴보았다. 분석결과, 'u-Health 시스템 수용유무'에 가장 영향을 미치는 변수는 '혁신성'과 '연결성' 요인임을 확인할 수 있었다. 이러한 결과는 유비쿼터스의 특징인 혁신적인 측면과 '언제, 어디서나'라는 요인을 반영한 결과라고 볼 수 있다. 따라서 이러한 요인에 대해 시스템 개발시 우선적으로 고려해야만, u-Health 비즈니스 수익의 가능성을 높일 수 있을 것이다.

• 한국비블리아학회지
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• 제22권4호
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• pp.71-90
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• 2011

이 연구에서는 문헌정보학 교육과정이 전공자의 정보기술 수용의도에 어떠한 영향을 미치는지 알아보기 위해 정보기술수용모형을 이용하여 두 가지의 이질적인 정보기술환경에서 전공자와 비전공자간, 그리고 전공 성숙도별 정보기술 수용에 대한 요인적 차이를 분석하였다. 분석 결과, 문헌정보학 전공자와 비전공자간 정보기술 수용요인은 사회적 특성을 나타내는 주관적 규범 변수에서 차이를 보이는 것으로 나타났으며, 전공성숙도에 따라 저학년 집단에서는 비전공자와 큰 차이가 없었으나 고학년 집단에서는 각 변수의 영향력이 저학년 집단에 비해 큰 것으로 나타났다.

• 한국IT서비스학회지
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• 제11권1호
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• pp.15-37
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• 2012

This study is progressed for understanding of the acceptance intention differentiated through the view of smart phone non-user's adopting plan. And the research model is proposed in the view of new technology adopting, Innovation Diffusion Theory, Rogers 1995, and Technology Acceptance Model, Davis 1989. In the survey, SPSS 18.0 and AMOS 18.0 are used to analyze the 685 smart phone non-users data. The results of the feasibility analysis and the factor analysis show the measured variables determined in the statistical significant range. Also, 11 hypotheses, among the 16 hypotheses, are adopted by the hypothesis tests through the path analysis, one-way-ANOVA and hierarchial regression analysis. The results indicate variables affect on the non-smart phone user's adopting intention. The primary factor is the perceived usefulness, secondary factor is the social property, and the rest is the playfulness. And, the primary adoption factor is affected to early majority and late majority among each innovation adopters.

• 한국융합학회논문지
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• 제10권12호
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• pp.487-494
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• 2019

가상현실과 증강현실은 교육 분야에서 학습자가 직접 관찰하기 어렵거나 텍스트로 설명하기 어려운 학습의 내용을 교육 분야에 적용하기에 유용하다. 본 연구는 TAM (technology acceptance model)을 바탕으로 증강현실을 이용한 해부학 교육을 통하여 간호학생의 기술 수용도를 탐색하는 연구로 2019년 5월 K대학에 재학 중인 간호학과 1, 2학년 학생들 중 편의표집한 17명을 대상으로 하였다. 대상자에게 증강현실을 활용한 해부학 학습을 완료한 후 기술 수용도에 대한 설문을 작성하도록 하였고 증강현실을 활용한 학습방법의 사용성(usability)을 탐색하였다. 다중회귀분석 결과 51.2%의 설명력으로 인지된 유용성이 높을수록 기술 수용도가 높은 것으로 나타났다. 따라서 새로운 기술을 활용한 학습방법을 적용할 때 기술의 유용성을 고려한 학습전략을 개발하는 것이 필요하다.

• STI Policy Review
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• 제4권2호
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• pp.136-158
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• 2013

This study identifies the structural determinants of the social acceptance of genetically modified (GM) foods across European countries. Toward this end, we suggest an integrated theoretical model to explain the social acceptance of GM foods by including both perception factors (perceived benefit, perceived risk, feelings, trust, and knowledge) and value factors (ethical concerns, science optimism, religiosity, and ideology). This model is then tested by analyzing survey data collected from 18,634 Europeans in 32 countries. The results indicate that first, not only perception factors but also value factors significantly contribute to explaining the acceptance of GM foods. Second, perceived benefits, perceived risk, feelings, and ethical concerns tend to be the four biggest determinants for acceptance. Third, this two-factor model could be generalized even with variation across countries. Finally, ethical concerns and scientific optimism play a moderating role between predictors and outcomes in the acceptance of GM foods.

• Asia pacific journal of information systems
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• 제19권2호
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• pp.73-94
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• 2009

The general aspects for the future warfare shows that the concept of firepower and maneuver centric warfare has been replacing with that of information and knowledge centric warfare. Thus, some developed countries are now trying to establish the information systems to perform intelligent warfare and innovate defense operations. The C4I(Command, Control, Communication, Computers and Intelligence for the Warrior) systems make it possible to do modern and systematic war operations. The basic idea of this study is to investigate how TAM(Technology Acceptance Model) can explain the acceptance behavior in military organizations. Because TAM is inadequate in explaining the acceptance processes forcomplex technologies and strict organizations, a revised research model based upon TAM was developed in order to assess the usage of the C4I system. The purpose of this study is to investigate factors affecting the usage of C4I in the Korean Army. The research model, based upon TAM, was extended through a belief construct such as self-efficacy as one of mediating variables. The self-efficacy has been used as a mediating variable for technology acceptance, and the variable was included in the research model. The external variables were selected on the basis of previous research. The external variables can be classified into following: 1) technological, 2) organizational, and 3) environmental factors on the basis of TOE(Technology-Organization-Environment) framework. The technological factor includes the information quality and the task-technology fitness. The organizational factor includes the influence of senior colleagues. The environmental factor includes the education/train data. The external variables are considered very important for explaining the behavior patterns of information technology or systems. A structured questionnaire was developed and administrated to those who were using the C4I system. Total 329 data were used for statistical data analyses. A confirmatory factor analysis and structured equation model were used as main statistical methods. Model fitness Indexes for measurement and structured models were verified before all 18 hypotheses were tested. This study shows that the perceived usefulness and the self-efficacy played their roles more than the perceived ease of use did in TAM. In military organizations, the perceived usefulness showed its mediating effects between external variables and dependent variable, but the perceived ease of use did not. These results imply that the perceived usefulness can explain the acceptance processes better than the perceived ease of use in the army. The self-efficacy was also used as one of the three mediating variables, and showed its mediating effects in explaining the acceptance processes. Such results also show that the self-efficacy can be selected as one possible belief construct in TAM. The perceived usefulness was influenced by such factors as senior colleagues, the information quality, and the task-technology fitness. The self-efficacy was affected by education/train and task-technology fitness. The actual usage of C4I was influenced not by the perceived ease of use but by the perceived usefulness and selfefficacy. This study suggests the followings: (1) An extended TAM can be applied to such strict organizations as the army; (2) Three mediation variables are included in the research model and tested at real situations; and (3) Several other implications are discussed.

• The Journal of Asian Finance, Economics and Business
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• 제3권2호
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• pp.67-76
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• 2016

The paper explores determinants of corporate adoption of social media and the role of technology acceptance model in the path. This paper assimilates some components of the technology acceptance dimension and social expectation theories to determine corporate intentions to use social media. Six hundred and forty-eight samples collected from hotel staff in Korea are analyzed using factor analysis, structural equation model techniques and one-way analysis of variance. The results show that corporate needs, social expectations, ease of use and usefulness should be viewed as important antecedents explaining the firm's behavioral intention to use social media. The study also finds that the ease of use and usefulness of the technology acceptance model have positive directional mediation effects in the path diagram.

• 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.