• Journal of the Korean Home Economics Association
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• v.47 no.4
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• pp.99-110
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• 2009

The Technology Acceptance Model(TAM) proposed by Davis(1989) has been applied as a reliable and robust model in the study of user’s adoption of different technologies. However it is necessary to incorporate additional constructs to the original model in the quest for increased predictive power. This study investigate consumer’s acceptance of smart clothing applied by the extended TAM. Besides perceived ease of use and perceived usefulness, clothing involvement is included in the extended TAM. Data were collected from the adults over 20 years old living in Seoul and other metropolitan areas from March 2 to March 12, 2009. 815 copies of data were analyzed to examine a structural model and test research hypotheses using AMOS package. The study showed the extended TAM for smart clothing was validated empirically in predicting the individual’s acceptance of smart clothing and 5 hypotheses among 7 hypotheses were supported. Specifically, perceived ease of use, perceived usefulness, and clothing involvement were the factors affecting attitude toward smart clothing. Attitude toward smart clothing was influenced directly by perceived usefulness and clothing involvement but influenced indirectly by perceived ease of use. Acceptance intention toward smart clothing was influenced strongly by attitude. From a theoretical point of view, the study extended the TAM for smart clothing. Moreover, this study would be beneficial for those who would develop smart clothing by providing information about attitude and acceptance intention of smart clothing consumers.

• 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.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.10a
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• pp.116-136
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• 2004

The objective of this study is to analyze the relationship between offline trust and use of online service focusing on Internet banking. For this purpose, we suggest an extended version of Technology Acceptance Model (TAM) that would explain use or acceptance of infer]nation technology especially in Internet based service areas. In order to connect offline trust with Internet banking use, TAM is extended by adding two variables - technical competence for security services that is one facet of trust on the bank's security technology and security risk that would influence use, perceived usefulness and perceived ease of use. Empirically our model is well proved with low significance level.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.521-526
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• 2007

This study proposed an expanded technology acceptance model (TAM) incorporating perceived fee (PFE) and perceived enjoyment into the original TAM We examined that the extended TAM provides supplementary information about behavior intentions (BI) toward mobile data services (MDS). This study also investigated some significant differences in the relative influence of the determinants of BI toward MDS depending on experience. The extended TAM was empirically evaluated by using survey data collected from 149 inexperienced users and 393 experienced users. The findings indicated that PFE is the strongest determinant of BI toward MDS, and the antecedents leading to users' BI vary over time. The results may provide further insights into MDS practitioners and marketing managers.

• Journal of Fashion Business
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• v.23 no.2
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• pp.140-155
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• 2019

The objective of this study was to verify the usage intention of unmanned fashion stores through the technology acceptance model and to verify the extended technology acceptance model including the shopping value as consumers' characteristic. An online survey, consisting of 626 consumers as participants, was conducted from March 13 to 19. Results of the study were as follows: This study used exploratory and confirmatory factor analysis. Furthermore, a covariance structure analysis using the maximum likelihood was conducted for hypothesis testing. According to the results, perceived ease of use affects perceived usefulness, which thereby affects the usage intention of unmanned fashion stores through attitude. Moreover, the analysis of the extended technology acceptance model including the shopping value as the intrinsic motivation of the consumers showed that the hedonic shopping value had a significant effect on the perceived ease of use and perceived usefulness, and perceived usefulness influenced the usage intention of unmanned fashion stores through attitude.

• Korean Journal of Human Ecology
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• v.19 no.2
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• pp.375-387
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• 2010

The Technology Acceptance Model (TAM) presented by Davis (1989) has been regarded as highly explanatory as well as the clearest model in explaining consumers' adoption of innovative technology or products. Existing studies have expanded the model by adding related external variables to improve the explanation depending on the type of innovative technology. This study expanded TAM by adding two more variables, namely consumers' technology innovation and clothing involvement considering the feature of smart clothing. The objectives of this study are as follows: 1. to suggest the extended TAM in explaining the adoption process of smart clothing, 2. to verify the differences in the path hypotheses according to the type of smart clothing. A total of 815 effective samples were collected from adults over 20 years old, and AMOS 5.0 package was employed for data analysis. As a result, it was proved that the extended TAM was appropriate for explaining the process of adopting smart clothing according to the path hypotheses of smart clothing types. Technology innovation and clothing involvement were confirmed as antecedent variables in affecting TAM. The perceived usefulness appeared to be a more crucial variable than the perceived ease of use and attitude was found to be an important parameter in adopting smart clothing. Considering the path hypotheses of MP3 playing clothes, perceived usefulness had a direct influence on acceptance intention unlike other types of smart clothing. As for photonic clothes, the influence of perceived ease of use on attitude was supported while it was rejected in the case of MP3 playing clothes and sensing sportswear.

• The Research Journal of the Costume Culture
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• v.17 no.6
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• pp.1155-1172
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• 2009

Wearable computers can be defined as next generation clothing integrated with various digital functions and devices. Unlike existing computers, they are viewed as human-centric computers customized for information utilization and other specific human needs. This study is intended to discover how consumers are accepting wearable computers, which are different from existing computers, based on Technology Acceptance Model(TAM) and to extend the model by adding variable regarding acceptance of wearable computers. A total of 683 copies of questionnaires, distributed to those aged 19 and older, both male and female, were collected online. The data was statistically analyzed for this study using the extended TAM. In order to test hypotheses, the structural equation model using the Lisrel 8.30 version was performed. For analyzing constructs(or traits) of research model, exploratory factor was conducted and the measurement model was assessed from the result. Reliability was assessed through confirmatory factor analysis and the calculation of Cronbach's alpha coefficients. Overall, model fit was assessed by statistical indexes: Chi-square value, GFI, AGFI, and RMR. This study analyzed the process of acceptance of wearable computers with the extended TAM that includes a variable, perceived value, on the basis of previous studies. The results of the analysis revealed that attitude toward wearable computer was directly influenced by perceived usefulness and perceived value but indirectly influenced by perceived ease of use. Acceptance intention of the wearable computer was directly influenced by perceived value and attitude toward wearable computer. To be more specific, perceived usefulness was significantly correlated with both attitude toward wearable computer and acceptance intention of the wearable computer. Perceived value was also significantly correlated with both attitude toward wearable computer and acceptance intention of the wearable computer. The results of this study also suggested that perceived ease of use was actually a causal antecedent to perceived usefulness and perceived value. This research revealed that extended TAM to investigate the acceptance of wearable computer was appropriate. This study is intended to provide a theoretical framework for adoption of wearable computer and suggest empirical analysis that can serve as a guide for wearable computer.

• Journal of Digital Convergence
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• v.7 no.3
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• pp.13-24
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• 2009

Technology Acceptance Model (TAM) has been a basis model for testing technology use. Post researches of TAM have been conducted with the updating the TAM by adding new independent variables in order to increase the explanatory power of the model. However, the problem is that different independent variables have to be required to keep the explanatory power whenever adopting particular technology. This might reduce the generality of the research model. Thus in order to increase the generality of the model, this study reviewed the previous researches and collected the independent variables used, and regrouped them into three basic independent constructs. New research model was designed with three basic independent constructs with three constructs selected for the involuntary information technology usage environment. Finally, this study concluded that new technology acceptance model could be used to explain the use of new technology without any adding new particular independent variables.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.30 no.3
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• pp.54-64
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• 2022

Airlines have been introducing self check-in kiosks to reduce check-in time and improve operational efficacy to increase business revenue. The domestic airlines have actively provided kiosks at airports which are expected to reduce their operating costs and enrich their passengers' travel convenience. Based on the above background, the study investigates the factors influencing intention to use the self check-in kiosks by employing the Extended Technology Acceptance Model (ETAM). The study, therefore, designed a research model by reviewing theories and studies on the relationship among information quality, innovativeness, perceived ease of use, perceived usefulness, and intention to use the kiosks. The structural equation model revealed the following. Information quality and innovativeness had a significantly positive influence on perceived ease of use and perceived usefulness; furthermore, perceived ease of use had a significantly positive influence on perceived usefulness. In addition, both perceived ease of use and perceived usefulness had a significantly positive influence on intention to use. The results indicate that the airlines should constantly develop user-friendly contents and design of the self check-in kiosks.