• Korean journal of communication and information
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• v.68
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• pp.7-33
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• 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 Digital Contents Society
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• v.19 no.9
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• pp.1717-1726
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• 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.

• The Journal of Information Systems
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• v.24 no.2
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• pp.23-52
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• 2015

Purpose This study aims to understand the role of digital knowledge in accepting the green technology. This study combined digital option theory with the second version of the Unified Theory of Acceptance and Use of Technology (UTAUT2). Contrary to other studies in which the UTAUT2 is used to explain IT adoption behavior, we look at the relationship between IT and the UTAUT2 from a new angle, incorporating an important aspect of IT, that is, digitized knowledge richness, as a determinant of the UTAUT2. Design/methodology/approach Grounded in the UTAUT2, a content analysis was conducted to investigate novel constructs dedicated to explaining green technology adoption. In this study, an amended version of the UTAUT2 specific to green technology is offered that better explains the green technology adoption behavior of consumers. Using the items identified by content analysis, we developed a questionnaire with 36 survey items. We measured all the items on a seven-point Likert-type scale. We randomly selected 402 survey respondents from a set of panel data. After a pilot study, we analyzed the main survey data by using PLS 2.0M3 and SPSS 20.0, and employed structural equation modeling to test the hypotheses. Findings The results suggest that the UTAUT2 was found to be extendable to technologies other than conventional IT. Social influence is more significant than conventional utilitarian and hedonic-based constructs such as those utilized in the UTAUT and UTAUT2 in explaining adoption behavior in the context of green technologies. The hypothesized connection between digitized knowledge richness and adoption intention was supported by the results of studies on the role of IT in formation of attitudes toward eco-friendly production. The results also indicate that digital knowledge can also encourage people to try green technology when they learn that their peers are already using the technology successfully.

• Fourth Industrial Review
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• v.4 no.2
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• pp.11-18
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• 2024

Purpose: This research delves into the topic by exploring the impacts of the Unified Theory of Acceptance and Use of Technology (UTAUT) on the fourth industrial setting. As the study begins with a comprehensive review of the literature to find other scholars' contributions, the present authors try to synthesize and integrate scattered related topics in the literature dataset. Research design, data and methodology: We used a descriptive, causal, and explanatory research design hybrid. A causal research design is an approach used to investigate the interaction and relationship between given variables. The screening began with searching using keywords, filtering using the inclusion criteria, and arriving at the final set of sources. Results: There were four crucial findings: 1. The Performance Expectancy Construct Has Strongly Influenced and Influenced the Decision to Acquire and Use a Given Technology. 2. Effort Expectancy Construct Has Influenced the Trends of Adopting. 3. Social Influence and Impact on Choice and Use of Technologies. 4. Facilitating Conditions as A Factor in Modern Production and Consumption. Conclusions: All in all, UTAUT is used in a predictive manner and very instrumental for the producers and users of various technologies. Four primary constructs are critical in making the theory complete, essential, and reliable within the fourth industrial setting.

• The Journal of Information Systems
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• v.19 no.4
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• pp.111-136
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• 2010

This study examined the difference in the usage of internet banking users between Korea and China. This model tests various theoretical research hypotheses relating to internet banking, The Unified Theory of Acceptance and Use of Technology(UTAUT). The factors influencing on the use intention of Internet banking have been classified as performance expectancy, effort expectancy, social influence and facilitating conditions. The proposed model was empirically tested using data collected from a survey of internet banking users in Korea and China. The model is used by SPSS 15.0 and AMOS 7.0 for analysis on the sample collected from 272 respondents. The result of hypothesis testing are as follows. First, performance expectancy and social influence positively influence use intention of internet banking user both Korea and China. Second, facilitating conditions only positively influence on the usage of internet banking users in Korea. On the other side, effort expectancy do not influence the use intention of internet banking users in both two countries. The results of study will provide practical implications on the internet banking in Korea and China.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.711-720
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• 2020

This research aims to analyze the factors affecting the acceptance of social commerce, including performance expectancy, effort expectancy, social support, facilitating conditions, hedonic motivation, habitability, price saving orientation, and privacy concerns using the Unified Theory of Acceptance and Use of Technology (UTAUT2). UTAUT2 has been examined and modified in various contexts. The research model studies the acceptance and use of technology in the context of customers. This study adopts a quantitative method using the partial least squares regression (PLS) approach involving 244 respondents. The respondents are users of social commerce in Indonesia. The result of this research indicates that social influence, facilitating conditions, hedonic motivation, habit, price value orientation, and privacy concerns have a significant effect on behavioral intention. On the other hand, performance expectancy and effort expectancy does not affect behavioral intention. Furthermore, price value has a significant effect on social commerce user behavior. Lastly, facilitating conditions and habits does not affect social commerce user behavior. This research contributes to the development of theory by examining an additional variable, which is privacy concern. This study is significant since social media and social commerce have grown exponentially nowadays. Implications of the results for the development of the theory (UTAUT2) and practice are discussed in the article.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.26 no.4
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• pp.54-63
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• 2018

Airlines are promoting self-service based technology by introducing mobile check-in, Kiosk and self-back drop systems, which will help customer satisfaction and efficiency. This study is about the usage intension to use Technology-based Airline Self-Service, the purpose of this study is to examine the key variables affecting Unified Theory of Acceptance (UTAUT2) in using Technology-based Airline Self-Service. According to the results of the ANOVA, there was a significant difference among the groups according to the experience of the self-service device. And analysis results using Structural Equation Model(SEM) was suggested that the performance expectation and hedonic motive of UTAUT2 model were found to have significant influence on initial trust. Also, initial trust affects the intention to use. There are some moderating effects on the structural equation by groups according to the experience of the self-service device. This research has significance in that it can help establish a marketing strategy of airlines to expand the self-service based on the airline technology.

• Journal of Information Technology Applications and Management
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• v.21 no.4_spc
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• pp.463-483
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• 2014

Data are dramatically increased and big data technology is spotlighted innovative technology among the latest information technologies. Organizations are interested in adoption of big data system to analyze various data format and to identify new business opportunity. The purpose of this study is to build a unified model for a system adoption through analysis of impact that affects behavioral intention and usage behavior of using big data. This study in addition to Technology-Organization-Environment (TOE), that is used the introduction of organizational studies, and Diffusion of Innovation (DOI) have implemented an extended unified model including the unified theory of acceptance and use of technology (UTAUT) that is usually used in personal level adoption study. The hypothesis was set up after implementing research model, and then got 411 effective survey data to target the member of organizations. As a result, all models (UTAUT, TOE, DOI) are affect to behavioral intention and usage behavior. It is verified that the suggested unified model was appropriate.

• Journal of Korean Society for Quality Management
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• v.50 no.3
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• pp.491-502
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• 2022

Purpose: The purpose of this study is to find factors affecting the acceptance intention of autonomous mobility service by applying the unified technology acceptance theory(UTAUT). Methods: The measurement items for each component of this study were modified to meet the purpose of the study by referring to previous studies related to mobility based on UTAUT, which has secured validity and reliability in many studies. The collected data through the online survey were analyzed using hierarchical regression analysis. Results: It was found that performance expectation, effort expectation, social influence, and facilitation conditions for autonomous mobility service had a positive effect on acceptance intention. Also, in this relationship, it was confirmed that driving experience moderated the relationship between performance expectation and acceptance intention, and between effort expectation and acceptance intention. Conclusion: Understanding the public's acceptance of autonomous mobility services, and suggesting strategic implications for the direction of service development to companies that are pushing to enter the autonomous mobility service market.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.568-580
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• 2019

This research explored how the various of factors including performance expectancy, effort expectancy, social influence and facilitating conditions and some external factors consisting of critical mass, attention, perceived enjoyment, and time distortion had impacts on users' usage of short-clip application based on flow theory and the UTAUT model. The research employed SEM with 263 valid questionnaires. The results showed that social influence and satisfaction factors had positive impacts in sustainable usage of mobile short-clip application, while the other factors have no special effect on it. The results also indicated that time distortions had a negative effect in the intention of continuous usage. Furthermore, performance expectancy, perceived enjoyment, and time distortions had positive impacts in users' satisfaction. The beneficial effects of critical mass on social influence had been recognized through this study.