• Korean journal of communication and information
• /
• v.68
• /
• pp.7-33
• /
• 2014

Using data from an online survey in Korea, this study examines factors affecting college students' intention to use wearable device based on an extended Unified Theory of Acceptance and Use Technology (UTAUT) (UTAUT2 Model). The results of the regression analysis suggest that performance expectancy, social influence, and facilitating conditions from original UTAUT are statistically significant variables to explain college students' intention to use wearable device. Also, the results of the data analysis reveal that added factors from UTAUT2 like hedonic motivation and price value are influential factors to explain intention to use wearable device. In addition, this study suggests that future studies need to test the UTAUT2 model in the context of new information and communication technologies.

• Journal of Venture Innovation
• /
• v.1 no.2
• /
• pp.109-121
• /
• 2018

New technology had been introduced continually and in many cases, we approached technology persepectives when the new technology were introduced. It was very important that researching users acceptance of the new technology in the areas of marketing and strategy. Regarding to user accepatance of new technology, many research models had been exited. This study compared with 2 models which were proposed by Venkatesh et al. named UTAUT1, UTAUT2 based on the criteria which composed of application context, variables of model, the impacts of variables. The dominant matric which was applied in all functions and industries was not exited. For the purpose of improving predictability, single or compound matrics were useful according to industries and usage

• 한국체육학회지인문사회과학편
• /
• v.55 no.5
• /
• pp.291-306
• /
• 2016

The purpose of this study was to verify the relationship between Sports commitment and Behavioral intention of wearable device among sports participants through UTAUT model. Convenience sampling was conducted and 239 questionnaires from various sports participants were analyzed after data cleaning. SPSS ver 21 and AMOS 20.0 software were used to anayze the collected data. As a result, first, the main 4 factors of UTAUT had positive effect on Behavioral intention and Use behavior but Sports commitment was not statistically related to Behavioral intention. Second, the full mediation effect of UTAUT main factors between Sports commitment and Behavioral intention were verified.

• Proceedings of the Korea Contents Association Conference
• /
• 2014.11a
• /
• pp.465-466
• /
• 2014

모바일 기술이 고등교육에 도입될 때, 특히 학생 사용자에 관하여 어떠한 요소들이 모바일 채택에 영향을 주는 가에 관한 연구모델과 가설을 이 논문에서 언급하고 있다. 미래 고등교육에 모바일러닝을 더욱 발전시키고 수립하고져 학생들에게 영향을 주는 요인(factor)을 찾고자 한다. 특히, UTAUT(Unified Theory of Acceptance and Use of Technology) 연구모델을 기초로 두고, 최근에 주요한 요소를 추가 하였다.

• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.26 no.2
• /
• pp.108-115
• /
• 2018

This study was undertaken to explore the determinants affecting behavioral intention to adopt airport self-service. Based on the theoretical model incorporating the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Technology Acceptance Model (TAM), in this study, a revised and extended model was proposed in order to better explain Airport Self-service adoption. Moreover, the aim was to determine the mediating effect of hedonic motivation on Airport Self-service adoption. The proposed model was empirically tested using survey data provided by 323 respondents and was analyzed using a multiple regression analysis.

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.6
• /
• pp.25-33
• /
• 2020

In this paper, the purpose is to verify the impact of performance expectations, effort expectations, social impact, individual innovation and perceived value on the intent of use and the behavior of use. Used Unified Theory of Acceptance and Use of Technology (UTAUT) to verify the applicability of this model in China, and established the research model by adding two new variables to UTAUT according to the situation of the Chinese market. To achieve this goal, 345 questionnaires were collected for experienced music creators using artificial intelligence nuggets in China by means of Internet research. The collected data were analyzed through frequency analysis, factor analysis, reliability analysis, and structural equation analysis through SPSS V. 22.0 and AMOS V 22.0. The verification of the hypotheses presented in the research model identified the decisive influence factors on the use of artificial intelligence music acceptance by Chinese users. The study is innovative in that it attempts to verify the applicability of UTAUT in the Chinese context. In the construction of the user acceptance model of AI music, three influencing factors will have an effect on users' intentions, and according to the degree of effect, from largest to smallest, they are respectively Perceived Innovativeness, Performance Expectancy and Effort Expectancy. This paper will also provide some management advices, i.e. improving the utility and usability of AI music, encouraging users with individual innovativeness, developing competitive and attractive pricing policies, increasing publicity, and prioritizing word-of-mouth advertising.

• Journal of Digital Contents Society
• /
• v.19 no.9
• /
• pp.1717-1726
• /
• 2018

This study is for looking into Factors affecting the Intention of using about Fitness Tracker based on IoT by Flow Theory and UTAUT Model. The independent variables of the IoT-based fitness tracker have been selected as Challenge, Skill Factors used in the Flow experience theory and selected the personal characteristics of health perception, enjoyment, Social Influence, and Facilitating Conditions. In addition UTAUT theory was used as parameter of Performance Expectancy and Effort Expectancy and intention of Use behavior was selected as a dependent variable. For verifying research hypothesis, This study collected 126 surveys data and carried out a statistical analysis by Smart PLS. The result shows that new Flow Experience and Personal Characteristic Factors with key variables in the UTAUT Model affect significantly to Intention of using about Fitness Wearable environment based IoT.

• Journal of Digital Convergence
• /
• v.14 no.12
• /
• pp.105-110
• /
• 2016

As smart devices have proliferated and network speed and accessibility of mobile have accelerated, mobile cloud services that can do the same tasks by various devices are promoted. This paper explores the analysis of use intention of mobile cloud services and influencing factors. We develop and apply a convergence technology acceptance model which combines TAM, VAM and UTAUT. The proposed model verifies some hypotheses to aware the significant factors of use intention of mobile cloud services with TAM, VAM and UTAUT including additional mobile cloud service characteristics such as mobility, high availability, easy accessibility and scalability. Eventually, this research can not only help users gain insights into mobile cloud service use intention, but also help mobile cloud service providers to develop more effective mobile cloud service and their business strategy in the future.

• Journal of Creative Information Culture
• /
• v.4 no.2
• /
• pp.95-101
• /
• 2018

As a result of introducing robot assisted learning which utilizes social robots or telepresence robots in language learning or special education, research on technology acceptance model for robot-assisted learning is also being conducted. The unified theory of acceptance and use of technology (UTAUT) model of intelligent robot has been studied, but of tele-operated robot is insufficient. The purpose of this paper is to estimate the UTAUT model by pre-service teachers who experienced telepresence robot-assisted learning that can be done in future school. It is found that the estimated UTAUT model consists of more concise factors than social robots, and the importance of perceived enjoyment is higher. In other words, the pre-service teachers showed significant acceptance of tele-operated robots with enhanced enjoyment composed of its mobility, communication, and touchable appearance of the face and body.

• Journal of Korea Game Society
• /
• v.21 no.3
• /
• pp.67-78
• /
• 2021

The subjects of this study are Chinese players who have participated in public welfare games. SPSS24.0 and AMOS24.0 were used to analyze the data, including reliability analysis, validity analysis, correlation analysis, structural equation model verification and so on. The hypothesis results show that Trust-Aware is the most important motivation dimension that affects players' participation in public welfare games. Under the dimension of Performance Expectancy, the main influencing factors are players' needs for self-realization and concern for vulnerable groups. Perceived Risk and Social Influence are the motivational factors that influence players' participation in public welfare games.