• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.3
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• pp.19-32
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• 2020

This study analyzed the effects of ICT technical characteristics of agricultural industry on smart farm entrepreneurial intention by using smart farm effort expectation and smart farm acceptance intention as mediators for smart farm pre-founders. Sub-variables of the technical characteristics of agricultural industry ICT were classified into availability, economics, data convergence and scalability. 349 questionnaires collected from pre-founders living in the country were used for empirical analysis. SPSS v22.0 and Process macro v3.4 were used to analyze the data based on serial multiple mediation model. First, economics and scalability had a positive (+) effect on start-up intention. Second, availability, economics and scalability had a significant effect on effort expectation. Third, effort expectation had a significant positive effect on acceptance intention. Fourth, acceptance intention had a significant positive effect on start-up intention. Fifth, the indirect effects of economics on start-up intention were all significant through effort expectation, through acceptance intention and through both effort expectation and acceptance intention. Sixth, the indirect effect of data convergence on start-up intention was significant through acceptance intention. Seventh, the indirect effect of scalability on start-up intention was significant through effort expectation and through both effort expectation and acceptance intention. As a follow-up study, it is necessary to study for the mediating variables other than mediators introduced in the study or the moderated mediation analysis through the conditional process model in which the moderating variable is introduced.

• Journal of Digital Convergence
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• v.17 no.6
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• pp.145-157
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• 2019

This study is to look at the influential factors associated with the acceptance intention of smart farm and suggest a proposal for spreading adoption of smart farms. The research questionnaire distributed to the farmers were used for the research analysis by statistical program SPSS v22.0 and Process macro v3.0. The technical characteristics of smart farm, which are availability, reliability and economic efficiency were selected as independent variables to analyze the influential factors on acceptance intention of smart farm and the mediating effect of effort expectation was observed. As a result, availability and economic efficiency have a positive(+) influence on acceptance intention and reliability have no influence on acceptance intention. And availability, reliability and economic efficiency have a positive(+) influence on effort expectation. Effort expectation mediates the relationship between the technical characteristics of smart farm and acceptance intention. The results of the study are expected to be utilized at the seeking direction of policy for potential adopters of smart farm, the training and consulting in actual field of smart farm.

• Journal of Information Technology Services
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• v.22 no.4
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• pp.1-19
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• 2023

This study is a study on the effect of technical readiness factors on counselors' intention to use when applying AICC. AICC counselors experience improved customer service and emotional stability by receiving various monitor notification window services based on artificial intelligence algorithms such as customer counseling history, prohibited word control system, and customized counseling system. Accordingly, this study tried to verify using factors derived from technology readiness theory and technology acceptance theory among the factors affecting the intention to continue using AICC provided to counselors. To verify the research hypothesis, the causal relationship between variables such as Optimism, Innovativeness, Discomfort, Insecurity, and Technology Acceptance Theory, such as Team Support, Ease of Usage, and Innovation Resistance, was verified. As a result of empirical analysis, first, it was verified that Optimism has a positive (+) effect on Team Support and Ease of Usage, and Discomfort and Insecurity have a negative (-) effect on Ease of Usage and Team Support. Second, it was confirmed that Team Support and Ease of Usage had a positive effect on the Intention to use AICC. Based on the above empirical analysis results, the concepts of Technical Readiness were clearly proved, and in practical terms, AICC helped inquiry, quality evaluation, recording, and management of counseling history, ultimately increased corporate work efficiency.

• The Journal of Information Systems
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• v.25 no.2
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• pp.27-50
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• 2016

Purpose The purpose of this study is to examine the effect of the acceptance intention towards healthcare wearable device in Korea. Specifically, this study attempted to identify the relationships among the acceptance intention towards healthcare wearable device, technical characteristics and user's personal characteristic based on UTAUT(Unified Theory of Acceptance and Use of Technology) model. Design/methodology/approach For this purpose of research, we conducted against consumers who use the wearable devices and we collected data from 219 wearable device users. The analyses were conducted using SPSS and AMOS19.0 which is powerful structural equation modeling (SEM) software. Findings The main findings are as followed; First, functional diversity, wearability, trend sensitivity and health perception are significantly related to performance expectancy, while visual aesthetic and enjoyment are not significantly related. Second, performance expectancy and effort expectancy are significantly related to acceptance intention towards healthcare wearable device. Third, effort expectancy is significantly related to performance expectancy.

• Journal of Information Technology Services
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• v.12 no.4
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• pp.59-75
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• 2013

As education environment is changing rapidly and competition of education industry is more intensive, the importance of service view about education is increasing as a differential competitive advantage. This study attempted to investigate the impact of service convenience as a different competitive advantage on e-learning acceptance by using TAM. The purpose of this study is to examine how five-dimensional service convenience constructs(decision convenience, access convenience, transaction convenience, benefit convenience, post-benefit convenience) affect consumers' perceived usefulness, attitude and usage intention. For this study, data were gathered from respondents who bought or used e-learning services and analyzed by structural equation model. Among the five-dimensional service convenience constructs, two constructs(benefit convenience, post-benefit convenience) affected consumers' positive perceived usefulness, attitude and usage intention about e-learning service. The results show that management and investment to improve benefit and post-benefit service convenience make consumers' positive attitude and usage intention about e-learning service.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.379-388
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• 2021

The purpose of this study is to identify the effect of parent-rearing attitudes on intention of school dropout of multicultural adolescent and the mediating effect of biculture acceptance between two variables. For the purpose, 1,323 subjects selected from the sixth year of the Multicultural Youth Panel (MCAPS) were analyzed. The data was verified by using technical statistics, correlation, and path analysis. The results showed that first, the positive parenting attitude and biculture acceptance decreased the intention of school dropout of multicultural adolescent, while negative parenting attitude increased it. Second, biculture acceptance had a partial mediating effect on the relationship between positive parenting attitude and intention of school dropout. Third, attitude the effect of negative parenting attitudes on intention of school dropout was partly mediated by biculture acceptance. On the basis of above findings, the practical engagements to enhance biculture acceptance and prevent the intention of school dropout of multicultural adolescent were suggested.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.51-60
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• 2023

This study aims to examine factors influencing the intention to continue using the metaverse, focusing on the impact of social norms. Specifically, direct and indirect effects of technical characteristics (perceive quality, interactivity, perceived playfulness), user characteristics (self-efficacy, personal innovativeness), and social influence factors (descriptive norm, injunctive norm, subjective norm) on continuous use intention were examined. The role of perceived ease of use and perceived usefulness as a mediator was also examined. An online survey was conducted with 165 college students attending universities in two large cities in South Korea who had used the metaverse. As a result, perceived playfulness, descriptive norm, and perceived usefulness directly influenced continuous use intention. Perceived playfulness, interactivity, and subjective norm influenced continuous use intention indirectly through perceived usefulness. This study theoretically extends the Technology Acceptance Model by specifying social influence in metaverse contexts. Practical implications are provided in terms of marketing strategy for the metaverse industry to continue to grow and develop.

• Journal of Navigation and Port Research
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• v.34 no.10
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• pp.807-815
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• 2010

This study analyzed the correlation between RFID acceptance intention and application, and as a result, extracted the technical stability, system quality and security of RFID as factors that affect the intention of receiving RFID in container terminal gate through preliminary research. This analysis was done on individuals engaged in container terminals which are in operation by adopting RFID in container terminal gate presently, and by distributing totally 255 copies of questionnaire survey, 248 copies were collected. As a result of statistical analysis of this study, the following conclusions were made: First, the technical stability of RFID acceptance in container terminal gate was not statistically significantly high. Second, the system quality and the security of RFID acceptance in container terminal gate were statistically significantly high. Finally, container terminal gate RFID technology acceptance intention was statistically significantly high in application performance.

• Fashion & Textile Research Journal
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• v.25 no.3
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• pp.291-303
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• 2023

The purpose of this study is to investigate the impact of technical acceptance factors of Chinese MZ generation consumers' use of online fashion platforms on behavioral intentions and usage behavior, and to determine whether satisfaction plays an additional role in the relationship between behavioral intentions and usage behavior. The research results can be summarized as follows. First, among the technology acceptance factors that influence Generation MZ consumers when they use online fashion platforms, it was found that performance expectancy, effort expectancy, facilitating conditions, hedonic motivation, price value, habit, and content quality significantly influence the behavioral intention to use online fashion platforms. Second, the facilitating conditions and the platform usage intention of Chinese Generation MZ consumers directly and significantly influence the usage behavior on online fashion platforms. In contrast, it was confirmed that habit does not significantly influence actual usage behavior. Third, this study confirmed the moderating effect of satisfaction on the relationship between behavioral intention and usage behavior on online fashion platforms. This research, which proposes a research model explaining the usage intention and behavior of online fashion platforms based on UTAUT2, integrating not only the organizational aspect but also the consumer aspect to empirically verify the usage intention and the final usage behavior from the general consumer's perspective, has academic significance.

• Journal of Information Technology Services
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• v.12 no.4
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• pp.399-422
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• 2013

The aim of this study is to find the model that best explains members' continued use intention in virtual communities by comparing technical and social perspectives applied in IS context. With the eight major variables identified from prior studies, four alternative models were formulated:1) A base model from Information Systems (IS) continuance perspective, 2) IS continuance model with technology-acceptance perspective, 3) IS continuance model with social-capital perspective, and 4) IS continuance model with socio-technical combined perspective. The adequacies of these four models with different perspective highlighted were tested using survey data collected from virtual community users in Korea. The findings indicated that the IS continuance model and social-capital perspective is the most efficient model that best explains the members' continued use intention in virtual communities.