• Proceedings of the Korea Association of Information Systems Conference
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• 2004.05a
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• pp.304-315
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• 2004

본 연구는 인터넷 환경 하에서 Davis의 기술수용모델(TAM)을 확장한 것이다. 본래의 TAM 모델에서는 인지된 사용용이성(perceived ease of use) 및 인지된 사용편이성(perceived usefulness)이 시스템 사용을 설명할 때 가장 중요한 요인이라고 제안하고 있다. 그러나 TAM 모델은 실제 시스템 사용의 약 $40\%$만 설명하고 있어 이 모델의 확장이 필요한 편이다. 본 연구에서는 기존의 TAM 모델에, Flow 이론에서 언급된 "인지된 즐거움 (perceived enjoyment)" 및 혁신확산이론(IDT)에서 언급된 "일치성(compatibility)"을 추가하여 TAM 모델을 확장하여 사용하였다. 본 연구자가 근무하는 대학의 대학포탈(university portals) 웹사이트를 사용하여 이 모델을 평가하였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.1
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• pp.86-93
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• 2006

The TAM(Topographic Attentive Mapping) network based on a biologically-motivated neural network model is an especially effective one for pattern analysis. It is composed of of input layer, category layer, and output layer. Fuzzy rule, for input and output data are acquired from it. The TAM network with three pruning rules for reducing links and nodes at the layer is called fuzzy TAM network. In this paper, we apply fuzzy TAM network to pattern analysis of core competency model for subcontractors of construction companies and show its usefulness.

• The Journal of Society for e-Business Studies
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• v.10 no.3
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• pp.135-157
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• 2005

Based on literature relating to the theory of planned behavior(TPB) and the TAM, this study extends the applicability of the TAM in a mobile banking context, by adding one trust-based construct('perceived credibility') and two resource-based constructs('perceived efficacy' and 'perceived cost') and technical suitability constructs to the model, while paying careful attention to the placing of these constructs in the TAM's existing nomological structure. Data collected from 182 users in Korea were tested against the extended TAM, using the structural equation modeling approach. The results strongly support the extended TAM in predicting users intentions to adopt mobile banking. Several implications for IT/IS acceptance research and mobile banking management practices are discussed.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.2
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• pp.238-243
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• 2007

The TAM(Topographic Attentive Mapping) network neural network model is an especially effective one for pattern analysis. It is composed of of Input layer, category layer, and output layer. Fuzzy rule, lot input and output data are acquired from it. The TAM network with three pruning rules for reducing links and nodes at the layer is called fuzzy TAM network. In this paper, we apply fuzzy TAM network to pattern analysis of leadership type for organizational leader and show its usefulness. Here, criteria of input layer and target value of output layer are the value and leadership related personality type variables of the Egogram and Enneagram, respectively.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.5
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• pp.642-646
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• 2006

The fuzzy TAM(Topographical Attentive Mapping) network is a supervised method of pattern analysis which is composed of input layer, category layer, and output layer. But if we don't know the target value of the pattern, the network can not be trained. In this case, the target value can be replaced by a result induced by using an unsupervised neural network as the SOM (Self-organizing Map). In this paper, we apply the results of SOM to fuzzy TAM network and show its usefulness through the case study.

• CRM연구
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• v.1 no.1
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• pp.49-69
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• 2006

Previous studies, Technology Acceptance Model (TAM) and Post Acceptance Model (PAM) have a little limitation in time series analysis. To solve this limitation, we used system dynamics as research methodology and designed simulation model based on TAM and PAM. Moreover, we designed new simulation model which can analyize time series data in customers' demand change from initial acceptance to post acceptance. This study targeted domestic mobile phone market. The simulation results showed that diffusion graph was similar to real data. That means we validated our simulation model. Since the simulation model offers the graph of customer's demand change by time, so it can be useful as a leaning tool. Therefore, we think this study helps IT companies use the model for forecasting of market demand.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.1-11
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• 2017

This research verified that how Health-Consciousness and Enjoyment can have influence on the Technology Acceptance Model(TAM) using Structural Equation Model(SEM) to suggest a Tangible Fitness Game(TFG) acceptance model. First of all, perceived usefulness and ease of use, the core factors of TAM could influence on the intention to use TFG, so the applicability of TAM was confirmed in the context of using TFG. Health-consciousness, defined as some beliefs and interests on the importance of health, was found to have an positive effect on perceived usefulness and have an influence on the intention to use TFG. Enjoyment also influenced on the intention to use through usefulness and ease of use. This research contributes to make elaborate theoretical accounts by verifying some factors influencing on the intention to use TFG using Extended Technology Acceptance Model.

• The Journal of Information Systems
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• v.15 no.4
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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.

• 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.

• Journal of Information Technology Applications and Management
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• v.14 no.4
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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.