• 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.

• Journal of Technology Innovation
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• v.27 no.4
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• pp.111-144
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• 2019

As virtual assistants rapidly diffused into the market, the voice shopping market is expected to expand. The purpose of this study is to identify the factors that determine the consumers' intention to adopt voice shopping by using the unified theory of acceptance and use of technology(UTAUT). In this study, we set variables that influence the intention to adoption of voice shopping with performance expectation and effort expectations as the variables of UTAUT and playfulness expectations as an extended variable. In addition, we also include four voice secretary attributes such as response accuracy, compatibility, social presence, and safety in our research model to investigate the source of motivation of voice shopping adoption. The result of this analysis shows that variables such as performance expectation, effort expectation, and amusement expectation have a positive effect on the intention to adoption of voice shopping. With respect to the four voice shopping attributes, compatibility had a positive effect on performance expectancy, effort expectancy, and playfulness expectancy. Social presence has a positive effect on playfulness expectancy. Safety has a positive effect on effort expectancy and playfulness expectancy. On the other hand, response accuracy is not significant for performance expectancy, effort expectancy, and playfulness expectancy. This study reveals the determinants of intention to adopt the new purchasing method called voice shopping, and suggests the important factors for the innovation of commerce business.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.8
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• pp.181-189
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• 2017

This study examines whether the variables used in the Unified Theory of Acceptance and Use of Technology(performance expectancy, effort expectancy, social influence, and facilitating conditions) is applicable to continuous usage of uTradeHub at a time of expansion in the use of uTradeHub. In addition, the role of user satisfaction(mediating effect) and CEO support(interaction effect) in the relationship is identified attempting to provide basic data to help uTradeHub management strategy establishment. A total of 101 valid responses collected through questionnaires were used for empirical analysis(using SPSS 24.0), and the results are as follows. First, for the effect of the integration technology acceptance factor on user satisfaction(H1), only performance expectancy, effort expectancy, and social influence were significant, but facilitating conditions was not significant. Second, for the effect of user satisfaction on the continued use of uTradeHub(H2), there was a significant result. Third, the mediation effect on verification of user satisfaction(H3) was full where performance expectancy, effort expectancy, and social influence prompted continuous usage through user satisfaction. Fourth, for interactive effect verification of CEO support(H4), an interaction effect was shown only in the influence relationship of performance expectancy and social influence on user satisfaction.

• Journal of Korean Library and Information Science Society
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• v.46 no.4
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• pp.529-549
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• 2015

For the spread of the open access institutional repository in Korea, this study aims to analyze the factors affecting the acceptance of the repository. To gather the research data, a questionnaire survey was conducted for acceptance and non-acceptance institutions of the open access repositories. The questionnaire consisted of questions based on the revised R-TDM. Integrated Technology Diffusion Model is a theory that seeks to explain how, why, and at what rate new technology and innovations spread through specific factors and cultures. According to the data analyzing, technology acceptance level of social factors was turned out the most effective factors to make a decision to accept the repository to their institutions. And institution factors, innovation resistance factors, and system factors were arranged in order of strong influence. This study will provides the basis for developing policies for dissemination and spread of repositories in Korea.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.113-116
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• 2014

기술수용모델은 지난 20년 동안 많은 주제로 다루어지고 있으며 지금도 여전히 계속 연구되어 오고 있다. 메타분석은 여러 실증연구의 정량적인 결과를 통합과 분석을 통해 전체 결과를 조망할 기회를 제공하는 통계적 통합 방법이다. 최근 스마트폰 관련 연구가 활발하게 이루어지고 있다. 이러한 시점에 기술수용모델을 기반으로 선행 요인에 관한 문헌적 고찰과 메타분석을 실시하였다. 본 연구는 2013년 이전 국내 학술지에 게재된 연구 중 기술수용모델의 인과관계를 설정한 총 106편의 연구논문을 대상으로 하였다. 메타분석의 결과, 선행 요인과 인지된 유용성의 경로에 가장 큰 효과 크기는 유희성으로 나타났다. 인지된 유용성과 유희성의 경로에 효과 크기는 0.536이었다. 그리고 선행 요인과 인지된 사용 용이성의 경로에 가장 큰 효과 크기는 자기 효능감으로 나타났다. 인지된 사용 용이성과 자기 효능감 경로에 효과 크기는 0.626이었다. 분석결과를 통해 이론적 실무적 시사점을 논의 하고자 한다.

• The Journal of Bigdata
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• v.2 no.2
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• pp.47-56
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• 2017

The UTAUT was presented as a comprehensive of eight existing theories to improve the limit of Technology Acceptance Model (TAM), and it has been also utilizing in various fields related to acceptance and diffusion of new technology. In this study, we analyzed factors utilized in UTAUT through meta-analysis, and confirms the consistency of the model. We presented the principal factors and the additional factors. Moreover, we presented differences and suggestions through comparative analysis with previous researches. The meta-analysis showed that satisfaction, hedonic motivation, attitude, perceived enjoyment showed a important factors as additional factors. Based on this result, we presented an extended UTAUT model. In the case of Korea studies, it was found that increasing the degree of behavior intention is the most important factor leading to use behavior. The results of this research will be able to support researchers who research the acceptance and diffusion of new technologies, and companies trying to launch new products.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.2
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• pp.153-165
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• 2022

The COVID-19 Pandemic incident forced all educational and learning activities to move online, so it is no longer an option to use information and communication technology for education and learning. Venture capital has made the largest investment ever in Edu-tech startups. This study investigates the factors influencing the intention to use digital technology in education, taking into account the Unified Theory of Acceptance and Use of Technology (UTAUT) along with digital literacy, which has become an essential ability in the digital age. As a result of the structural equation model analysis, we find that performance expectation, effort expectation, and social influence have a positive effect on the intention to use digital technology in education. Moreover, digital literacy has a positive effect on performance expectation, effort expectation, and social impact, but the direct effect on the intention to use digital technology on learning is not significant. Furthermore, to see the moderating effect of age, the results of multi-group analysis present that the differences between 10s and 60s, between 20s and 60s, between 30s and 60s on the path of social influence on the intention to use digital technology in education are significantly reduced. This study academically contributes to expanding the research on the factors affecting the intention to use digital technology in a specific situation of education by considering both digital literacy and Unified Theory of Acceptance and Use of Technology (UTAUT). In addition, it can be used as a practical guide to the factors to be considered for each age when making learning participants more actively use digital technology.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.259-266
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• 2021

Recently, the financial industry has seen a dramatic change due to the development of innovative technologies such as FinTech, but there is a lack of research on the digital level of financial institution workers. This study analyzes factors that affect the willingness of financial institution workers to accept digital innovation and to examine the relationship between acceptance intention and business performance. Based on the theoretical basis of UTAUT, independent variables were divided into internal expectations, external influences, facilitation conditions, and employment risks. Survey data of 100 bankers at N bank were analyzed using SPSS and AMOS 18. Studies have shown that internal expectations and external influences have positive effects on the acceptance intention of financial institution workers, and that facilitation conditions, employment risks do not. This study found a significant relationship between acceptance intention and business performance and confirming that acceptance intention has a direct and indirect impact on business performance. Study findings could be a reference to enhancing the willingness to accept digital innovation technologies and developing ways to improve business performance by validating factors that affect the willingness of financial institution workers to accept digital innovation.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.89-97
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• 2013

After introducing iPhone in Korea, the craze for iPhone was perceived to be extraordinaire phenomenon and the mobile businesses and researchers paid attention to it. This research purposes to explore more predictive model that explain to adopt the smartphones in Korea. This research show that all of models, TPB, TAM and the integrated model, are significant to explain intention to use the smartphones. TPB explains the higher than TAM, and the integrated model explains the slightly higher than TPB. These results suggest that researcher explore and build the more predictive model that comprise social influences and personal attributes than TAM that is employed broad to study new information communication systems and devices.

• 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.