• Journal of Information Technology Applications and Management
• /
• v.16 no.2
• /
• pp.65-77
• /
• 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.

• Journal of Information Technology Applications and Management
• /
• v.27 no.3
• /
• pp.1-18
• /
• 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 Semiconductor & Display Technology
• /
• v.23 no.1
• /
• pp.36-47
• /
• 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.

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

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.11 no.8
• /
• pp.4162-4179
• /
• 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.

• Asia pacific journal of information systems
• /
• v.16 no.1
• /
• pp.45-69
• /
• 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 Korea Society of Industrial Information Systems
• /
• v.26 no.5
• /
• pp.21-35
• /
• 2021

In this study, in order to find out how the quality factors of information system affected the technology acceptance model and user intention, the importance of IT security which had been recently emerged by including the security in the system, information and service is considered as the factors of information system quality. To verify how the information system quality affected the technology acceptance model and user intention, the study was conducted with expanded information system by classifying the technology acceptance model with perceived usefulness and perceived ease of use and classifying user intention with acceptance and utilization whether user had only acceptance intention or both acceptance and utilization intentions. The study results are as follows. First, the hypothesis that quality factors of information system affected the technology acceptance model significantly was partially adopted. Second, the hypothesis that the technology acceptance model affected user intention significantly was adopted.

• Journal of Information Technology Services
• /
• v.20 no.6
• /
• pp.17-43
• /
• 2021

Currently, various discussions are underway to establish a more advanced management system for public rental housing. Also, it calls for improvement methods for problems arising in management of the current rental housing system. In this regard, this study aims to evaluate determinants that affect user acceptance intention of blockchain technology to implement a new system that complements drawbacks of the current public rental housing system. The study uses the Unified Theory of Acceptance and Use of Technology (UTAUT) as a theoretical model; the study model utilizes three UTAUT variables -performance expectancy, social influence, and Facilitating conditions-, applies security, availability, and reliability that are perceived from blockchain technology as external parameters to facilitate understanding of user acceptance intention of blockchain technology, and evaluates whether innovativeness can regulate the influence of performance expectancy, social influence, and Facilitating conditions on user acceptance intention of blockchain technology. Based on the significant survey result where 274 IT technicians participated, the study applies structural equation modeling to explore structure of user acceptance intention in the blockchain-based management system for public rental housing. As a result, security-reliability and availability are found to factors as determinants for user acceptance intention, affecting implementation of the public rental housing management system, while innovativeness shows no significant statistical results related to regulation effect. This study has implications in that it understands characteristics of blockchain and empirically analyzes the relationship between the characteristics and acceptance intention to enable blockchain's contribution to activate the public rental housing management system in the future.

• The Journal of Information Systems
• /
• v.30 no.3
• /
• pp.137-158
• /
• 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 Korean Academy of Rural Health Nursing
• /
• v.17 no.1
• /
• pp.34-41
• /
• 2022

Purpose: This study attempted to investigate the influence of attitude toward the use of new technology and technological readiness on the intention of new technology acceptance among the elderly aged 65 or older living in small and medium-sized cities. Methods: Ninety-eight people age 65 or above participated in the study. The collected data were analyzed using an independent t-test and ANOVA with the Scheffé test. The Pearson correlations between attitude, technology readiness, and intention of new technology acceptance were analyzed, and factors affecting intention of new technology acceptance were analyzed using multiple regression analysis. Results: The factors affecting the elderly's intention to accept new technologies were innovation in technology readiness (β=.52, p<.001) and educational level (β=-.22, p=.018). Conclusion: Based on these findings, it is necessary to develop strategies and educational programs for the socioeconomically vulnerable elderly to improve their intention to accept new technologies.