• 대한가정학회지
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• 제47권4호
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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.

• 한국경영정보학회:학술대회논문집
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• 한국경영정보학회 2007년도 International Conference
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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 Information Technology Applications and Management
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• 제11권2호
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• pp.149-166
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• 2004

In the wake of Fishbein and Ajzen's the Theory of Reasoned Action (TRA), Davis (1989) proposed a Technology Acceptance Model (TAM) to account for how perceived ease of use, perceived usefulness, and attitude predict behavioral intention to use Information Systems (IS). However, TAM is incomplete in one important respect: it does not account for social influence In the acceptance and utilization of new information systems. This study investigated the relationships between organizational tasks and intention to use internet using TAM. For using internet, social network is an important factor because the natural characteristic of internet is community-based. The results showed that Organizational Culture (OC) plays an important role in explaining intention to use the internet. Using O'Reilly et al. 's measurements, we extended and empirically validated the proposed model using Structured Equation Modeling (SEM). These findings enable future researchers and practitioners to apply the OC variable in the various contextual domains.

• 한국정보시스템학회지:정보시스템연구
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• 제15권4호
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• pp.55-72
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• 2006

The total market capacities of our domestic on-line shopping malls had reached over one billion wons in 2005. They are also estimated to reach 1.8 billion wons in 2008. In order to reveal some relationships between six antecedent variables and intention-to-use of online shooing malls, this study has extended the original TAM2 model using these variables obtained from (1) perceived usefulness and perceived ease of use from TAM2 model, (2) compatibility from IDT theory, (3) perceived enjoyment from Flow theory, and (4) others (perceived risk and self efficacy). Two statistical packages such as SPSS 12.0 and Lirel 8.70 were used for data analyses. Among these seven proposed hypotheses, six hypotheses were accepted while one hypothesis regarding perceived risk was rejected. As perceived risk hypothesis concerning the intention-to-use was rejected, the perceived risk did not show the support of the intention-to-use.

• 한국전자거래학회지
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• 제10권3호
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• pp.135-157
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• 2005

기술수용모델과 계획행동이론 관련 연구들을 기반으로 본 연구에서는 기술수용모델의 구조를 유지하면서 한 가지의 신뢰 관련 요인(인지된 신뢰성)과 두 가지의 인지된 행위 통제 요인(인지된 유효성과 인지된 비용),그리고 국내의 특성을 고려한 기술적 적합성 항목을 모델에 추가하여 모바일 뱅킹 분야에 적합하게 기술수용모델의 적응성을 확장하였다. 국내에서 182개의 데이터를 수집하여, 구조방정식 모델 기법을 이용, 확장된 기술수용모델을 검증하였다. 본 연구의 결과는 모바일 뱅킹 채택에 대한 사용자 의도를 예측하는데 있어서 본 연구에서 사용된 확장된 기술수용모델을 지지하고 있다. 또한 정보기술/시스템 수용과 모바일 뱅킹 시스템 운영의 실제적인 시사점들이 논의되어졌다.

• 한국생활과학회지
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• 제19권2호
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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.

• 한국의류산업학회지
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• 제14권1호
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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 Information Technology Applications and Management
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• 제14권4호
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• pp.175-198
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• 2007

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 explanation power of the model. However, one problem is that different independent variables have to be introduced to keep the explanation power whenever applying to particular technology. This reduces 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 four constructs selected for the mandatory IT environment and voluntary IT environment, and the structured equations analysis(AMOS) was applied to find the significant causal effect relationships between constructs in addition to the explanation power of the model. Finally, this study concluded that new TAM could be used to explain the users' adopting new technology without any adding new particular independent variables.

• 디지털융복합연구
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• 제7권3호
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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.

• 한국의류학회지
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• 제34권6호
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• pp.969-981
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• 2010

This study explains the consumer acceptance of smart clothing using the extended Technology Acceptance Model (TAM); in addition, it compares the difference in the path hypotheses of the perceived group and nonperceived group from the aspect of the extended TAM. A total of 815 copies of questionnaire were collected from a web-based survey in March 2009. Structural equation modeling was used to examine the entire pattern of intercorrelations among the constructs and to test related propositions using an AMOS 5.0 package. The fitness of the extended TAM explains the process of the adaptation of smart clothing. Technology Innovation (TI) and Clothing Involvement (CI) were confirmed as antecedent variables to affect TAM. In the perceived group, Technology Innovation (TI) and Clothing Involvement (CI) showed significant impacts on the Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) while Technology Innovation (TI) did not influence the Perceived Ease of Use (PEOU) in the non-perceived group. Perceived Ease of Use (PEOU) influenced the Perceived Usefulness (PU) and indirectly influenced Attitude (A) through the Perceived Usefulness (PU) in both groups. In addition, Perceived Usefulness (PU) did not influence Acceptance Intention (AI) but indirectly affected Acceptance Intention (AI) through Attitude (A). Therefore, Attitude (A) was found to be an important parameter in the adaptation of smart clothing in both groups. This finding implies that consumers first perceive the usefulness of smart clothing, then take favorable attitudes towards the smart clothing, and finally have the intention to adopt it. Strategies for publishing and informing consumers of the functions of smart clothing and usefulness in life are necessary; in addition, understanding what useful values they expect from the clothing is also crucial.