• 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 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 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.

• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.32 no.2
• /
• pp.100-111
• /
• 2024

This study was conducted to explain airport users' acceptance intention for untact smart devices being introduced at Incheon Airport. Based on the technology acceptance model, perceived usefulness and ease of use influenced attitudes and intention to use. It was verified whether it was affecting the effect. In addition, variables proposed in innovation diffusion theory were selected to verify exogenous variables that affect perceived usefulness and ease of use, which serve as key independent variables in the technology acceptance model. Research results show that perceived usefulness has a high level of positive influence on attitude, whereas perceived ease of use has a low influence and does not show a statistically significant influence. In addition, it was confirmed that most variables of the innovation diffusion theory had no effect on usefulness and ease of use. This means that the key variable in the spread and use of untact smart devices at airports is the perception of usefulness, which means that resistance to accepting new technology is not high.

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

• Korea Science and Art Forum
• /
• v.30
• /
• pp.217-230
• /
• 2017

The purpose of this study is to develop a theoretical model identifying how consumers accept a fashionable technology product. A systematic review of 39 influential TAM studies focusing on theory development in the context of information technology results in three tendencies, which become backbone of the model of fashionable technology acceptance. A subsequent review of the nature of fashion fleshes out the backbone with detailed propositions in the more specific context of fashionable technology. The model of fashionable technology acceptance includes key propositions of Theory of Reasoned Action, in which internal beliefs consist of functional, aesthetic and symbolic values, and other factors, such as technology features (i.e., hardware specification, software specification, brand, and price factors), environmental conditions (i.e., technical infrastructure and user occasion), individual differences (i.e., age, gender, experience, personality, aesthetic sense, fashion innovativeness, and income), and social influence (i.e., subjective norms, social reputation, and cultural difference). Implications, limitations, and suggestions for future research are also discussed.

• 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.

• 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.

• The Journal of Information Systems
• /
• v.17 no.2
• /
• pp.73-94
• /
• 2008

Knowledge is a fundamental assets, therefore, the ability to create, acquire, integrate, and share knowledge has emerged as a fundamental organizational capability(Sambamurthy and Subramani, 2005). This apaper reports the results of an empirical study investigating the factors of acceptance and the moderating role of resistance in Knowledge Management Systems(KMS). The research model is based on the theory of planned behavior(TPB) and technology acceptance model(TAM). It includes the perceived usefulness instead of attitude, subjective norm, perceived behavior control and intention of acceptance of KMS. Also, three external variables namely task-technology fit, organizational support, and perceived rewards are added. In the research model, all hypothrses of the baseline model and the moderating effects of resistance were found to be significant. The authors also of fred several implications based chi the findings.

• Nuclear Engineering and Technology
• /
• v.55 no.3
• /
• pp.908-918
• /
• 2023

The Saudi National Atomic Energy project aims to adopt peaceful nuclear technologies and be part of the country's energy mix. As emerging nuclear energy, it is essential to understand public concerns and acceptability of nuclear energy, as well as the factors influencing acceptance to develop nuclear energy policy and implement nuclear energy programs. The purpose of this study is to analyze the public attitudes and acceptance of nuclear energy among Saudi Arabian citizens by utilizing protection motivation theory and theory of planned behavior. A total of 1,404 participants answered a questionnaire which was distribute by convenience sampling approach. A Structural Equation Modeling framework was constructed and analyzed to understand public behavior toward building the country's first Nuclear Power Plant (NPP). Before analyzing the data, the model was validated. The research concluded that the benefits of nuclear power plants were essential in determining people's acceptance of NPPs. Surprisingly, the effect of the perceived benefits was found higher than the effect of the perceived risks to the acceptance. Furthermore, the public's participation in this study revealed that the NPPs location has a significant impact on their acceptance. Based on the finding, several policy implementations were suggested. Finally, the study's model results would benefit scholars, government agencies, and the business sector in Saudi Arabia and worldwide.