• Journal of the Korea Fashion and Costume Design Association
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• v.21 no.3
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• pp.93-108
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• 2019

This study analyzed the influence of experiential marketing factors of 3D printing and Internet services on technology acceptance factors and usage intention. Furthermore, we analyzed how the user's innovativeness shows the effect on the intention to use. Data acquired from a total of 518 college students was used for the final analysis, which was perfromed by SPSS 21.0 and AMOS 23.0 programs. The results of this study are as follows. We analyzed the influence of the experiential marketing factors of fashion service utilizing the 3D printing and the Internet of Things on the acceptance of technology and intention to use these technologies. As for 3D printing, first, sensory and behavioral factors are positively related to the acceptance of technology. Second, emotional and cognitive factors have negative effects on all technology acceptance. Third, relational factors did not show a significant influence on several conditions of technology acceptance. Fourth, the effects of technology acceptance on the willingness to use have a positive effect on several conditions factors, except the effort expectation. As for the result concerning the Internet of Things first, behavioral factors have a positive effect on all technology acceptance. Second, emotional factors have a negative effect on all technology acceptance. Third, cognitive factors did not have a significant effect on various conditions and showed negative effects on several factors. Fourth, sensory and relational factors did not affect the acceptance of technology. Fifth, the effects of technology acceptance on the intention to use are affected by several conditions, except for effort expectation. As a result of analyzing the moderating effects of user's innovativeness on the willingness to use, 3D printing did not show any significant effect on innovation. However, the Internet of Things has a significant influence on the user acceptance of technology acceptance.

• Journal of Information Technology Applications and Management
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• v.27 no.3
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• pp.1-18
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• 2020

Recently, following the development of FinTech technology that combines finance and information and communication technology, the need and social demands for a block chain technology-based trading system have increased significantly. In this study, a research model was developed and hypothesized through literature research on the concept of block chain technology, the technology acceptance model, and the unified theory of acceptance and use of technology. The research theories were tested by collecting data through surveys and analyzing the collected data. This study conducted empirical research to identify the factors influencing the user acceptance intention and utilization behavior of the block chain technology in introducing the block chain technology. First, factors affecting the acceptance intention of the blockchain user were performance expectation, effort expectation, social impact, and blockchain transparency variables. Second, the facilitation conditions and stakeholder confidence variables were analyzed as factors that did not affect the acceptability of the blockchain users. Third, variables such as blockchain transparency, stakeholder trust and intention of acceptance are factors that affect the usage behavior of the blockchain. Fourth, it was confirmed that the acceptance intention had a very high explanatory power on usage behavior of Blockchain technology.

• 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.17 no.4
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• pp.163-189
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• 2018

In this study, we analyze the acceptance theories of insurance services using blockchain technology. Although insurance services using block-chain technology are still in discussion, specific development methods for service methods applying block-chain technology in insurance services are being studied. In this study, the following analysis was conducted to analyze the acceptance of insurance services using block chain technology, focusing on four factors of the UTAUT model. As a result of the analysis, the technology benefits of the blockchain affecting the performance expectations of UTAUT are security and reliability. In addition, the factors influencing UTAUT's effort expectations were found to be availability and economics. Therefore, it was found that performance expectation and effort expectation for technology acceptance are influenced by different technology benefits. Among the four factors of UTAUT, the factors affecting the insurance service using the blockchain technology are performance expectation and effort expectation, and social influence and promotion condition have no effect on acceptance intention. Also, the moderating effect of user innovation on acceptance intention of insurance service applying blockchain was significant only for effort expectation among UTAUT factors.

• 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.

• The Journal of Information Systems
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• v.30 no.3
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• pp.137-158
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• 2021

Purpose This study aims to investigate which factors have impact on the acceptance intention of new electronic ID. For the empirical analysis, this study utilized PLS-SEM after collecting 385 survey data, and analyzed relations between each factors. Design/methodology/approach This study made a design of the research model by integrating the factors deducted from the Unified Theory of Acceptance and Use of Technology with the factors deducted from the Risk Factors. Findings The results are as follow; First, of the UTAUT factors, Performance Expectancy, Effort Expectancy and Social Influence and has positive impact on Acceptance Intention, but Facilitating Conditions doesn't have meaningful impact on Acceptance Intention. Second, of the Risk factors, Innovation Resistance has negative impact on Acceptance Intention, but Perceived Risk dose not have meaningful impact on Acceptance Intention. Finally, regulatory effect of the Promotion Focus, Prevention Focus and Gender has regulatory impact to Acceptance intention. It is expected that the implications of this study enables government effectively to offer new electronic ID.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.3
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• pp.201-218
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• 2015

The purpose of this study is to verify a causal relationship between social tv services and intended acceptance of social tv service through the SERVQUAL five dimensions which mean generally assessment of superior user. Also I am going to analyze that how factors of intended acceptance of social tv service effect on intended acceptance through perceived usefulness and perceived ease of use based on Technology Acceptance Model which provides theoretical basis for behavior response of information technology. This study is significant that social tv combine the five dimensions of service quality that mean assessment of overall excellent or superior user and Technology Acceptance Model that provides theoretical basis for describing an behavior response of information technology.

• Journal of the Semiconductor & Display Technology
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• v.23 no.1
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• pp.36-47
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• 2024

The purpose of this study is to identify the factors that impact the user's intention to accept technology when Introducing new information security systems for the workers of a semiconductor company. The findings of this study were as follows. First, the factors of a company's information security systems, namely reliability, expertise, availability, security, and economic efficiency, all significantly and positively impacted performance expectations. Second, the performance expectation of introducing information security systems for a company significantly and positively impacted the intention to accept technology. Third, the social impact of introducing information security systems for a company had a significant and positive impact on technology acceptance intention. Fourth, the facilitating conditions for introducing a company's information security systems significantly and positively impacted technology acceptance intention. Fifth, as for the moderating effect of innovation resistance, the moderating effect was significant in the paths of [performance expectation -> technology acceptance intention], [social impact -> technology acceptance intention], and [facilitating conditions -> technology acceptance intention]. The implication of this study is that the factors to be considered when introducing information security systems were provided to companies that are the actors of their proliferation, providing the base data to lay the foundation for introducing security technologies and their proliferation.

• The Journal of Information Systems
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• v.24 no.4
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• pp.83-97
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• 2015

Purpose: Traditionally, information technology acceptance have been considered one of the most important research issues. However non-acceptance, which was main objective of acceptance theories, have not been included in main research area by communities of information systems. This study is to identify the factors influencing non-acceptance of information technology and suggest a total research model for explaining the phenomena of non-acceptance. Design/methodology/approach: Grounded theory was adopted as a principal research method. which is an inductive technique of interpreting qualitative data about a social phenomenon to build theories about that phenomenon. Data were collected by depth interview and open question on potential non-adopters during 3 months. The collected data were coded by two main coding paradigm in ground theory, open coding and axis coding. Findings: Factors influencing non-acceptance, status quo, imitation, value evaluation, and concerning risk were extracted from open coding. These factors were integrated into system 1 thinking and system 2 thinking, which were from axis coding. More specifically, status quo and imitation are system 1 thinking which are more responsive and emotional thinking and value evaluation and concerning risk are system 2 thinking which are more rational and reasoning thinking.

• Asia pacific journal of information systems
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• v.16 no.1
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• pp.45-69
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• 2006

Technology Acceptance Model (TAM) has been widely used to predict user's behavior to accept the technology. Prior researches have been mainly focused on innovation constructs such as perceived usefulness and perceived ease of use. However, very little research has been conducted to understand individual mental beliefs in technology acceptance and imitation influence. This study integrates Technology Acceptance Model (TAM), Flow Theory (FT) and Diffusion of Innovation Theory (DIT). This paper indicates that imitation context, cognitive absorption (CA) based Flow theory and innovation context are the three important factors influencing user acceptance of information technologies. The proposed model has been tested among 232 users of MP3 players. Results showed that innovation context and cognitive absorption have positive influences on intention to use technology. Not all factors of the imitation context have direct effect on intention to use. However, we found that imitation context has positive influence on intention to use technology through cognitive absorption.