• 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.

• 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.

• 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 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.

• Asia pacific journal of information systems
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• v.14 no.3
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• pp.93-120
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• 2004

The current study investigates major factors which influence the acceptance of mobile internet services based on the theoretical backgrounds of the technology acceptance model(TAM) and the flow theory. This research extended the Davis' TAM model(1989) by including the flow concept as another major factor towards the intention to use the mobile device in order to explain the acceptance of divers mobile services. According to the marketing studies(Ghani & Desphande, 1994; Novak, Hoffman & Yung, 2000), flow is regarded a psychological state in which one is absorbed in something he or she is doing, and is known to be widely adopted in explaining one's acceptance in the area of game, sports, and even hobby. This study developed a research model to explain the use of mobile services employing usefulness, ease of use and flow as major research variables, and collected 221 survey responses from the high school students who had experiences with such mobile services as game and audio file download. The results of the current research indicates that usefulness and flow influence the intension to use mobile services, but the effect of ease of use did not appear significant to the intention to use. It was also found that flow affects both usefulness and ease of use, and then ease of use next influences usefulness.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.6
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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.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.27-34
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• 2019

The purpose of this study is to empirically analyze the moderating effect of psychological empowerment on the relationship between technostress, the technology acceptance model, and the continuance intention of use. The results of the analyses are as follows: First, IT corporation workers' technostress had a negative effect on perceived ease of use and perceived usefulness. Second, psychological empowerment was found to regulate the relationship between technostress and the technology acceptance model. Third, the perceived ease of use of IT corporation workers had a significant positive effect on the continuance intention of use, and the perceived usefulness had a positive effect on the continuance intention of use. These findings imply that training and education should be continuously conducted to improve psychological empowerment as well as manage technostress.

• 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.13 no.3
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• pp.107-115
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• 2015

The social commerce is an innovative and emerging transaction. It is the result of combination with transaction and social media technology. This study analyzes Korean college students' social commerce behavior through extending technology acceptance model(TAM) with social influence(SI). We confirmed all proposed hypotheses are significant and supported by the given data through PLS path modeling method with SmartPLS. It indicates that SI is an important factor influencing intention to use, so SI should be consider for theorists to enhance explanation and prediction of TAM and for practitioners to earn higher performances as well. Finally, based on the findings, suggestions for future studies are discussed.

• Journal of Information Technology Applications and Management
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• v.20 no.4
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• pp.111-125
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• 2013

This study investigates how enjoyment (or playfulness) affects user acceptance of hedonic-oriented (or pleasure) information technology based on the technology acceptance model (TAM). A research model was made to examine the effect of enjoyment on the user acceptance of hedonic information technology. 186 responses were collected from university students who had experiences on Daum's Digital View which is a well-known example of digital signage technology. The result of the statistical analysis reveals that enjoyment also had a strong effect on the acceptance of hedonic information technology, in addition to perceived usefulness and perceived ease of use. However, perceived usefulness is reported to most strongly influence the adoption of Digital View. The effect of enjoyment on intention to use was also significant, but enjoyment shows a much low degree of influence than perceived usefulness on intention to use.