• 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.

• 한국의류학회지
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• 제31권8호
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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.

• 복식문화연구
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• 제27권6호
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• pp.615-631
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• 2019

Smart healthcare clothing combines IoT, new technology, and clothing construction to perform specific care functions, and its utility has been expanding rapidly within aging and diversified societies. However, the related market remains at an early stage of development due to limited regulation, lack of consumer awareness, and the need for not only technical development but promotion plans for potential users. This paper aims to analyze factors influencing purchase intention for smart healthcare clothing with biosignal monitoring, including variables in the Technology Acceptance Model (TAM), clothing attributes, health-related lifestyle factors, and fashion innovativeness. A survey was conducted on a sample of 300 males and 300 females ranging in age from 20 to 50 years, and data were analyzed using SPSS 21.0. The results show that perceived usefulness, perceived aesthetic attributes, health responsibility, and fashion innovativeness were overall significant predictors of using smart healthcare clothing. Additionally, perceived ease of use and physical activity in the male subsample, and perceived compatibility within the female group, also had significant effects. Furthermore, age was a determining factor; for subjects in the 30s age group, perceived usefulness, compatibility, and health responsibility had significant positive associations. The results of this study can provide basic guidelines for designing merchandising plans to expand user acceptance of smart healthcare clothing.

• 복식문화연구
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• 제20권3호
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• pp.451-462
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• 2012

Drawing on the literature on TAM and presence, this study proposes a model of the extended TAM by identifying factors that affect the motivations to enhance our understanding of online consumers' acceptance of an e-tail website. This study conceptualizes that consumers' perceived presence variables such as telepresence and social presence are the antecedents to the motivations of TAM. Empirical tests using regression analyses generally supported the proposed model. The overall conclusion from the current data is that our integrated model is useful in understanding consumers' acceptance of an apparel e-tail website. The findings show that perceived usefulness, perceived ease of use, and perceived interest motivations act as strong determinants of consumers' attitude toward an e-tailer, which leads to their behavioral intentions about the e-tailer. This suggests that apparel e-tailers should consider these three motivations when they design their websites. As one way to influence these three factors, this study showed the role of perceived presence in the usage of an apparel e-tail website. The findings suggest that online consumers' perceptions of "being there" and "socialness" stimulate their perceptions of usefulness and interest in the website use. Thus, e-tailers should consider effective ways to increase consumers' perceived presence.

• 한국정보시스템학회지:정보시스템연구
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• 제32권4호
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• pp.95-118
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• 2023

Purpose This study employed the Technology Acceptance Model (TAM) to understand students' acceptance of online learning systems. Specifically, this study investigated the factors influencing the behavioral intention of South Korean major university students to use online learning systems for educational purposes in the period when their university life had largely returned to the state it was in before the COVID-19 pandemic. Design/methodology/approach This study examined the impact of four external factors: self-efficacy, personal innovativeness, perceived enjoyment, and system quality, on two TAM constructs: perceived ease of use and perceived usefulness. Additionally, this study explored how perceived ease of use and perceived usefulness affect the behavioral intention to use online learning systems. We conducted an online-based survey using a structured questionnaire. The data collected from the survey were then subjected to Structural Equation Modeling (SEM) analysis to test the study's hypotheses and examine the relationships among the various constructs. Findings The findings reveal that perceived usefulness and ease of use significantly influence students' behavioral intentions to use online learning systems. Furthermore, factors of self-efficacy, perceived enjoyment, and system quality positively affect perceived usefulness and ease of use. Notably, personal innovativeness impacts ease of use but not perceived usefulness.

• Asia pacific journal of information systems
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• 제33권4호
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• pp.1093-1117
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• 2023

The study aims to determine the impact of quality outcomes on behavior intentions in Financial Technology (FinTech) payment services. The study is focused on the development and testing of the impact of the SERVQUAL model on the TAM, i.e., Technology Acceptance Model for the measurement of the behavioral intention of users to use fintech payment services. The sample entails 578 specific survey responses from northern India from October to December 2022. The respondents were users of FinTech. The PLS-SEM technique was employed to explain the implementation process. Consequently, it discovered a significant relationship between the SERVQUAL models and the impact on behavioral intentions identified by TAM. The study will provide insight into the factors that impact the quality outcomes and adoption of Fintech payment services to the providers. The paper demystifies FinTech payment services in the range of perception of service quality outcomes and provides essential theories. The TAM model reflects the customer's sense of satisfaction, usefulness, and attitude. In contrast, the SERVQUAL model demonstrates the user's assessment of service quality outcomes such as quality, trust, security, and service quality positively affects behavioral intention in FinTech payment services.

• 인터넷정보학회논문지
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• 제25권2호
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• pp.69-77
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• 2024

전 세계적으로 관광 산업이 코로나19 이전 수준으로 회복되고 있습니다. 이번 글에서는 관광객의 한국 여행 의향에 영향을 미치는 요인을 살펴보고자 합니다. 데이터 분석에는 TAM 모델을 사용했으며, 실제 시나리오에 더 적합하도록 신뢰, 정보 품질, 개인 혁신성 등 몇 가지 주요 외부 변수를 추가했습니다. 구조방정식 모델링 방법인 SPSS와 AMOS를 사용하여 분석한 결과, 지각된 위험은 의도와 큰 관련이 없다는 사실을 발견했습니다. 지각된 위험은 구매 의도와 유의미한 관계가 없으며, 이는 소비자가 지각된 위험보다 편의성을 우선시할 수 있음을 시사합니다. 그리고 다른 많은 요인들이 이 둘 사이의 잠재적인 매개 요인이 될 수 있습니다.

• 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.

• 한국통신학회논문지
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• 제39B권1호
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• pp.1-7
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• 2014

본 논문은 멀티 코어 SoC의 전체 테스트 시간 감축을 위한 효율적인 테스트 wrapper 설계 방법을 제안한다. 제안된 알고리즘은 잘 알려진 Combine 알고리즘을 사용하여 멀티코어 SoC의 각 코어에 대해 초기 local wrapper해 집합을 구성하고 가장 긴 테스트 시간을 소모하는 코어를 dominant 코어로 선택한다. Dominant 코어의 테스트 시간을 기준으로 다른 코어들에 대해 wrapper 특성인 TAM 와이어 수와 테스트 시간을 조정한다. Design space exploration을 위해 일부 코어들의 TAM 와이어 수를 줄이고 테스트 시간을 증가시킨다. 변경된 wrapper 특성을 기존 local wrapper 해 집합에 추가한다. 코어들의 기존 local wrapper 해 집합이 global wrapper 해 집합으로 확장되어 스케줄러에 의한 멀티코어 SoC의 전체 테스트 시간이 감소한다. 제안된 wrapper의 효과는 ITC'02 벤치마크 회로에 대해 $B^*$-트리 기반의 테스트 스케줄러를 사용하여 검증된다. 실험 결과 기존의 wrapper를 사용하는 경우에 비해 테스트 시간이 평균 4.7% 감소한다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1236-1238
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• 2003

The Earth's total magnetic field was extracted from on board TAM (Three Axis Magnetometer) observations of KOMPSAT-1 satellite between June 19th and 21st, 2000. In the pre-processing, the TAM's telemetry data were transformed from ECI (Earth Centered Inertial frame) to ECEF (Earth Centered Earth Fixed frame) and then to spherical coordination, and self-induced magnetic field by satellite bus itself were removed by using an on-orbit magnetometer data correction method. The 2-D wavenumber correlation filtering and quadrant-swapping method were applied to the pre-processed data in order to eliminate dynamic components and track-line noise, respectively. Then, the spherical harmonic coefficients are calculated from KOMPSAT-1 data. To test the validity of the TAM's geomagnetic field, Danish/NASA/French ${\phi}$rsted satellite's magnetic model and IGRF2000 model were used for statistical comparison. The correlation coefficient between ${\phi}$rsted and TAM is 0.97 and IGRF and TAM is 0.96. It was found that the data from on board magnetometer observations for attitude control of Earth-observing satellites can be used to determinate the Earth's total magnetic field and that they can be efficiently used to upgrade the global geomagnetic field coefficients, such as IGRF by providing new information at various altitudes with better temporal and spatial coverage.