• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.1
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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.

• International conference on construction engineering and project management
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• 2013.01a
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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.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.12
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• pp.2489-2497
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• 2009

The objective of this research is to get the lesson of the policy by searching the factors of technology acceptance focused on u-Health system. For the purpose of this research, this study presented the concept of u-Health and literature review associated with technology acceptance. Also, this research analyzed the factors affecting 'acceptance of u-Health system'. As a result of the analysis, the first factor affecting acceptance of u-health system is 'self-efficacy' and the second factor is 'connecting'. These results showed characteristics of the innovative aspects and the 'anytime and anywhere' in the ubiquitous concept. Therefore, considering these factors when developing with the priority of u-health system will be able to increase the likelihood of business revenue.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.4
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• pp.71-90
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• 2011

This study aims to examine how LIS curriculum affects the undergraduate students' intention to information technology acceptance using Technology Acceptance Model(TAM). For this purpose, it was analyzed differences in factors of information technology acceptance (1) between LIS students and non-LIS students and (2) between LIS junior students and LIS senior students in heterogeneous information technology environments. The results are as follows; There is difference in IT acceptance factor(Subjective Norm variables) between LIS students and non-LIS students. There was no great difference in factors on information technology acceptance between LIS junior students and non-LIS students. LIS senior students show great difference in path coefficient with LIS junior students.

• Journal of Information Technology Services
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• v.11 no.1
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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.

• Journal of the Korea Convergence Society
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• v.10 no.12
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• pp.487-494
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• 2019

Augmented reality (AR) or virtual reality is suitable to apply the contents of a textbook so as to be directly observable by learners. This study aimed to examine the applicability and technology acceptance of anatomy learning using AR in nursing students. This study was conducted in May 2019 with 17 nursing students who studied an anatomy textbook using AR and answered a questionnaire about technology acceptance and the usability of AR in combination with the anatomy textbook. Perceived usefulness was identified as an influencing factor on technology acceptance with 51.2% acceptance rate and thus should be taken into consideration in the development of learning strategies using new technological learning methods.

• STI Policy Review
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• v.4 no.2
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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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• v.19 no.2
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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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• v.3 no.2
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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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• v.11 no.8
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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.