• Journal of Technology Innovation
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• v.14 no.1
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• pp.201-225
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• 2006

Technology Acceptance Model (TAM) considers perceived ease of use and perceived usefulness as the important determinants of user behavior regarding information technology. As an extension of TAM, this research examines perceived security as an additional determining variable to explain an individual's acceptance and use of mobile banking as well as internet banking. The results show that perceived ease of use does not affect the individual's attitude toward the use of mobile or internet banking, while perceived usefulness does. Furthermore, perceived security affects perceived usefulness in mobile banking, but not in internet banking. In addition, in mobile banking, perceived security is positively related to perceived usefulness, though perceived security is negatively related to attitude. Finally, the average scores of surveyed data for Internet banking are higher and significantly different than those for mobile banking.

• 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 Information Technology Applications and Management
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• v.16 no.1
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• pp.149-168
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• 2009

This paper aims to empirically examine how personal characteristics and social influence affect user acceptance of mobile web browsing service. To examine the intention to use mobile web browsing service, we applied the Technology Acceptance Model (TAM) which has been widely used to explain and predict the IT acceptance to this study. This research also includes personal characteristics such as computer self-efficacy, mobile self-efficacy, and personal innovativeness in IT and social influences such as subjective norms, image, and visibility as the external variables of the TAM. The results indicate that computer self-efficacy do not directly influence ease of use, but indirectly through mobile self-efficacy. And the results indicate that mobile self-efficacy and personal innovativeness in IT have direct effects on ease of use. Empirical results also show that subjective norms and image affect usefulness. Additional theoretical and practical implications of these findings are also discussed in the paper.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.6
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• pp.1081-1086
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• 2016

While smart learning have been introduced for more learning effect, this study is to understand instructor's smart learning acceptance using technology acceptance model(TAM). This study developed the extended TAM model, including external pressure for smart learning and smart self efficacy for smart devices as study variables and attempted to examine the research model through the empirical analysis. The research model has the 7 variables including smart self-efficacy and external pressure. For the empirical study, the survey was conducted for the one month, March, 2016, and the total 143 data among the collected 167 responses were used for the empirical analysis. As the result of the analysis through the structural equation model, the 9 paths among the total 10 paths show the significant relationships between the variables. Through using the result of this study, it is to provide suggestions for the improvement of smart learning environments.

• Healthcare Informatics Research
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• v.24 no.4
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• pp.359-370
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• 2018

Objectives: We assessed the public acceptance of a health information exchange (HIE) and examined factors that influenced the acceptance and associations among constructs of the Technology Acceptance Model (TAM). Methods: We collected data from a survey of 1,000 individuals in Korea, which was administered through a structured questionnaire. We assessed the validity and reliability of the survey instrument with exploratory factor analysis and Cronbach's alpha coefficients. We computed descriptive statistics to assess the acceptance and performed regression analyses with a structural equation model to estimate the magnitude and significance of influences among constructs of TAM. Results: Eighty-seven percent of the respondents were willing to use the technology, and the average level of agreement with the need for the technology was 4.16 on a 5-point Likert scale. The perception of ease of use of the technology significantly influenced perceptions of usefulness and attitudes about the need for HIE. Perceptions of usefulness influenced attitude and behavioral intention to use HIE, and attitude influenced intention. Age showed a wide range of influences throughout the model, and experience with offline-based information exchange and health status also showed noteworthy influences. Conclusions: The public acceptance of HIE was high, and influences posited by TAM were mostly confirmed by the study results. The study findings indicated a need for an education and communication strategy tailored by population age, health status, and prior experience with offline-based exchange to gain public buy-in for a successful introduction of the technology.

• Journal of Korean Society of Forest Science
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• v.99 no.3
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• pp.368-379
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• 2010

u-Park means national parks with environmentally sound information networks and integrated ubiquitous services are available. u-Park is totally managed based on u-IT (Ubiquitous IT Technologies) which provides ubiquitous service through sophisticated resources of national park and establishments. It is necessary in changing the existing park management system into u-IT based u-Park management system that park managers should accept new technology, u-Park management system, and be able to utilize it. The purposes of this research is to analyze managers' acceptance behavior on ubiquitous computing technology. Technology acceptance model (TAM) was introduced to specifies the causal relationships among variables related to managers' technology acceptance behavior. The hypothesized model was tested by surveying 157 managers at 5 national parks in Korea. TAM accounted for 55.2% of the variance in intention to use. The most important finding is that perceived compatibleness was the most influential variable in determining intention to use. This means that u-Park management system should be compatible with manager's task and business style.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.8
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• pp.1211-1221
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• 2007

This research investigates the effects of fashion innovativeness and technology innovativeness on the attitude and the buying intention of smart clothing. This study employs TAM(Technology Acceptance Model) proposed by Davis(1989) as a theoretical framework. Two hundred sixty-five respondents comprised a sample used to examine a structural model. The structural equation model using AMOS was performed to test hypotheses. Fashion innovativeness was found to affect perceived usefulness while technology innovativeness affected perceived ease of use. Perceived usefulness was found to influence attitude towards smart clothing. Perceived ease of use was also found to affect attitude towards smart clothing. The attitude towards smart clothing has a direct effect on the buying intention of smart clothing. In addition, this study revealed that employing TAM to investigate the adoption of smart clothing was appropriate. Lastly, implications of this research and suggestions for future studies were discussed.

• Fashion & Textile Research Journal
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• v.14 no.1
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• pp.24-36
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• 2012

This study examines consumer's acceptance intention of sensor-based smart clothing empolying the extended TAM. Technology innovativeness, information innovativeness and trust were used as external variables and perceived palyfulness was included in the extetended TAM. Data were collected from the adults over 20 years old living in Daegu from March 14 to 18, 2011. 193 useful copies of data were analyzed to investigate a structural model and test research hypotheses using AMOS 7.0. The study results showed that the extended TAM for smart clothing was validated empirically in predicting the individual's acceptance of sensor-based smart clothing and 10 hypotheses among 12 hypotheses were supported. Technology innovation, information innovation, and trust were confirmed as antecedent variables in affecting extended TAM. Perceived usefulness and perceived playfulness directly influenced acceptance intention and indirectly influenced acceptance intention mediating attitude. Perceived usefulness affected perceived playfulness and attitude affected acceptance intention. This study will help marketers and managers of fashion companies devise effective tools in planning marketing strategies related to smart clothing.

• Journal of Digital Convergence
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• v.9 no.1
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• pp.37-49
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• 2011

The purpose of this study is to develop a new equipment acceptance model in the industrial market and test it empirically using a field survey. To define new equipment acceptance factors of employees in the organization, we used the TAM as a useful model to analyze the acceptance process of new equipment. All of the data for the TAM were collected from the employees. Prior research studied the usage of general information technology using a computer and particular software, while we apply the TAM to the new equipment adoption. In this study, both theoretical review and empirical study were conducted and the model was set through the theoretical study which was tested through the empirical analysis. Management support and training/education were shown to have a positive effect on PU and PEOU. Personal innovativeness, management support, perceived usefulness and perceived ease of use were shown to have a positive effect on behavioral intention.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.4
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• pp.273-288
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• 2012

In recent years, smartphone is the most widely used ubiquitous functionality. People do not want to just call other people any more by using a cellular phone; they want to connect to the Internet and use various applications. Hence, cellular phones need to become smart. A smartphone has an operating system and many applications. Specifically the goals of this research are; (1) to suggest theory framework of acceptance about smartphone based on TAM, (2) to examine relationships between exogenous variables. The research model and hypotheses were developed based on the theories of technology acceptance model. Questionnaire was used to collect data. The analysis of this study is designed as individual level to examine the causal relationship among variables. The the reliability and validity of data was tested by explanatory factor analysis, Cronbach's alpha coefficient, confirmatory factor analysis, and correlation analysis. Also, the structural equation model(SEM) analysis was performed to test the usefulness of the model. The analysis results revealed that social norms and individual innovation are major influential variables on the perceived usefulness of smartphone. Also, social norms are influential variables on the perceived enjoyment of smartphone.