• 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 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 Information Technology Applications and Management
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• v.16 no.2
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• pp.65-77
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• 2009

This study explores the major factors that are likely to affect the acceptance and resistance of innovative products and services. The TAM (Technology Acceptance Model) has been widely used for understanding consumer acceptance of new technology. This model displays perceived usefulness and perceived ease of use as antecedents of intention to adopt and use. However, research has reported a variety of preceding variables for technology acceptance. In addition, considering paradoxes of technology, research regarding both acceptance and resistance in an integrated model can explain consumer perception and behavior in detail. The results of this study states that relative benefits, degree of innovation in technology, perceived usefulness and perceived ease of use have had positive influence on the intention to adopt but negative impact on that of resistance. However, alterations of usage and perceived risk positively affects resistance, but also have negative effects on the intention to adopt. Finally, intention to adopt has comparatively greater influence than that of resistance on intention to use. Theoretical and managerial implications of the results are also discussed.

• International Journal of Human Ecology
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• v.10 no.1
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• pp.23-33
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• 2009

This study identified the appropriateness of acceptance models of smart clothing and differences in the hypothesis of the path to clothing acceptance by classifying consumers depending on the level of technology innovation and fashion innovation through the extended TAM (Technology Acceptance Model) presented by Chae (2009). 815 copies of data were collected from adults over twenty living in major South Korean cities and analyzed them using a SPSS 15.0 and AMOS 5.0 package. Based on the average value of technology innovation and fashion innovation, the respondents were classified into: Group 1 with high technology innovation and fashion innovation, Group 2 with high technology innovation but low fashion innovation, Group 3 with low technology innovation but high fashion innovation, and Group 4 with low technology innovation and fashion innovation. The appropriateness of models for the four classified groups was verified. The analysis proved that an extended TAM for each classified group explains the acceptance process of smart clothing; especially the appropriateness of model of Group 1 and Group 4 was comparatively higher than other groups. Perceived usefulness was revealed as the key variable that affects consumer attitudes to accept smart clothing. Perceived ease of use has indirect positive effects on consumer attitudes passing through perceived usefulness and clothing involvement partly exerted impacts on consumer attitudes and the intention of acceptance. The mediating role of attitudes to explain the intention of the acceptance of smart clothing is high and suggests that it is necessary to take a positive role to help the consumer perceive the functional and useful aspects of the clothing.

• Journal of Korean Society of Rural Planning
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• v.26 no.3
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• pp.115-126
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• 2020

This study designed an extended technology acceptance model incorporating and combining TPB, TAM, UTAUT, and IDT, which are known to be useful in explaining technology acceptance intention, to analyze antecedents affecting smart farm acceptance intention from the perspective of policy handlers. In the model of this study, nine independent variables were set, including subjective norm, perceived behavioral control, attitude, perceived usefulness, performance expectation, effort expectation, social impact, promotion condition, and fitness. The effect of these variables on farm acceptance intention was analyzed. The study found that four factors, including perceived behavioral control, perceived usefulness, social impact, and fitness, had positive effects on the acceptance intention of smart farms. Of these, perceived usefulness had the highest impact. In conclusion, all the TPB, TAM, UTAUT, and IDT applied to the research hypothesis to explain the smart farm acceptance intention included on or more variables with significant effects. In other words, these theories were evaluated as useful to explain the acceptance intention of smart farms.

• 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 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.

• 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.

• 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.