• 컴퓨터교육학회논문지
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• 제18권4호
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• pp.19-30
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• 2015

본 연구는 고등학생의 모바일러닝 사용의도 및 실제사용에 영향을 미치는 요인들을 규명하고, 이를 높이기 위한 구체적인 전략을 모색하고자 UTAUT모형에 태도를 추가하여 성과기대, 노력기대, 사회적 영향, 촉진조건, 태도, 사용의도, 실제사용 간의 구조적 인과관계를 분석하고자 한다. 이를 위해 고등학교 3학년 재학생 285명의 설문조사를 실시하고, 데이터의 구조적 관계를 구조방정식모형으로 분석하였는데 그 결과는 다음과 같다. 첫째, 성과기대, 노력기대는 태도에 유의한 영향을 미치지만, 사회적 영향은 태도에 영향을 미치지 않는 것으로 나타났다. 둘째, 태도는 사용의도에 유의한 영향을 미쳤으며, 사용의도는 실제사용에 유의한 영향을 미치는 것으로 나타났다. 셋째, 성과기대, 노력기대는 태도를 매개로 사용의도에 영향을 미쳤으며, 태도는 사용의도를 매개로 실제사용에 영향을 미치는 것으로 나타났다. 마지막으로 성별 및 경험에 따른 조절효과는 유의하지 않았다. 본 연구결과를 토대로 고등학생의 모바일러닝 실제사용을 높이기 위한 실천적 전략들을 제안하였다.

• Journal of Information Technology Applications and Management
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• 제26권6호
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• pp.29-46
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• 2019

This study analyzed the factors influencing the technology acceptance of the general public in the drones and ARs, one of the key technologies of the industry 4.0. The theoretical basis was the extended unified theory of acceptance and use of technology model(UTAUT2), which uses performance expectancy, effort expectancy, social influence, facilitating conditions, and hedonic motivation as factors common to both services. The price value factor was excluded considering that most ARs were free, and the perceived risk factors, including privacy, which were not in UTAUT2, were included because they are important factors for ICT technology acceptance. The hypothesis was tested by structure equation model. Social influence and hedonic motivation had a positive(+) effect on intention to use technology. On the other hand, in the case of effort expectancy, neither the AR nor the drone had a significant influence on intention to use technology. Furthermore, performance expectancy had a positive(+) effect on intention to use in AR, but no significant influence was found out in drones. On the contrary, in the case of the facilitating conditions, the influence of the drones was positive (+), but the relation of AR was not investigated. The perceived risk was tested for the negative (-) influence of use intention of AR, but no significant relationship was found out for the drones. Among the significant influencing factors, hedonic motivation was the most powerful factor in AR and drones. Theoretical and practical implications are presented based on these results.

• 한국의류산업학회지
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• 제24권5호
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• pp.577-592
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• 2022

This study aims to confirm which factors related to technology acceptance affect generation MZ's use of luxury fashion platforms. For this purpose, Internet self-efficacy and technology readiness were added as new exogenous and moderating variables using extended UTAUT. Then, performance expectancy, effort expectancy, social influence, and facilitating condition as a factor of UTAUT were set as mediating factors. Response data were collected through questionnaires for generation MZ with experience in using luxury fashion platforms, and a factor analysis, reliability analysis, correlation analysis, and path analysis were conducted using the SPSS and AMOS statistical programs. According to the results, the Internet self-efficacy of generation MZ significantly affected on performance expectancy, effort expectancy, social influence, and facilitating conditions on the luxury fashion platform. Moreover, performance expectancy and social influence had a significant effect on the use intention of luxury fashion platforms, but effort expectancy and facilitating condition did not have a significant effect on use intention and use behavior. Additionally, as the moderating effect of technology readiness affects only the relationship between social influence and behavioral intention, it was confirmed that social influence is an important variable with the characteristics of MZ consumers. Therefore, it is deemed necessary to recognize the importance of social influence when trying to use new technologies targeting generation MZ in the fashion industry.

• 한국정보시스템학회지:정보시스템연구
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• 제26권1호
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• pp.143-169
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• 2017

Purpose With the increase of the elderly population, the growth of its information system related market is increasing. However, empirical studies for the usage of elderly people's smartphones are still limited. This study aims to investigate the factors that affect the seniors' smartphone usage behaviors. Design/Methodology/Approach First, a preliminary study was conducted with targeting seniors who have visited Gwangju Senior Technology Center(GSTC) in order to understand the factors that affect the intention of utilizing smartphones. Next, based on the preliminary study results and literature reviews including the UTAUT model, performance expectancy, effort expectancy and social influence were considered for the major factors affecting the usage of elderly people's smartphones. Also, the moderate effects of personal innovativeness and usage function were discussed. A questionnaire survey of 181 seniors visiting GSTC was analyzed to empirically test the research model. Findings By the empirical tests, the performance expectancy and the effort expectancy of the seniors had significant impacts on their smartphone usage behavior. While the moderating effect of personal innovativeness was not significant, the moderating effect of the usage function was significant in the relationship between performance expectancy and the smartphone usage behavior. The results of this study are expected to provide guidelines to excavate the technical development and the niche market targeting the elderly people.

• 한국IT서비스학회지
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• 제16권2호
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• pp.1-20
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• 2017

A bitcoin-based technology named blockchain is garnering attention in various industries as a cost-effective measure in strengthening security and a reliable technology medium. Blockchain technology will play a critical role in the Fourth Industrial Revolution, and IT technology is expected to bring fundamental changes. This study focuses on the characteristics of blockchain technology and the effects of the intention to accept its technology in an empirical manner. The aspects of the technology are organized by researching blockchain technology and theories of technology acceptability and previous studies were used as guidelines to create the research model and propose the hypothesis. The research model is based on UTAUT with a set-up of 5 factors for performance expectancy and effort expectancy. For empirical analysis, a survey was conducted on 283 IT workers in Korea, To examine the hypothesis structural equation modeling was used performance expectancy was influenced by security, reliability, diversity, and economic efficiency while effort expectancy was influenced by reliability and economic efficiency. Performance expectancy, social influence, facilitating conditions affect the intention to accept. Innovativeness of an organization and control effects are influenced as well. The present study aims to provide practical guidance as supplementary research in utilizing blockchain technology, and the limitations of the study and future research possibilities are discussed as well.

• 정보화정책
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• 제23권1호
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• pp.38-55
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• 2016

본 연구는 윈도우 사용자가 구 버전의 운영체제를 상위 버전으로 업그레이드하는 동기에 대해 논의한다. 본 연구문제를 논의하기 위해 통합기술수용이론(UTAUT)과 합리적 행위이론(TRA)을 바탕으로 연구가설을 구성했다. 대학생을 대상으로 199부의 데이터를 수집해 분석에 이용했다. 분석결과는 두 가지로 요약된다. 첫째, 성과기대와 노력기대는 운영체제 업그레이드 태도에 긍정적인 영향을 미치는 것으로 나타났다. 둘째, 사회적 영향과 용이한 조건, 그리고 태도는 운영체제 업그레이드 의도에 긍정적인 영향을 미쳤다. 따라서 사용자의 성과기대, 노력기대, 사회적 영향, 그리고 용이한 조건 인식이 높을수록 상위 버전으로 업그레이드하고자 하는 의도는 더욱 긍정적으로 평가한다고 볼 수 있다.

• 디지털융복합연구
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• 제16권7호
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• pp.123-129
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• 2018

본 연구의 목적은 대학에서 UTAUT에 기반한 m-learning 학습자의 만족도에 미치는 영향을 실증적으로 검증하고자 하였다. 각 요인의 관계를 살펴보기 위하여 289부의 설문지를 SPSS 22.0, AMOS 21.0을 이용하여 분석하였다. 분석결과는 보안성이 성과기대와 노력기대에 정(+)의 영향을 미칠 것이라는 가설은 채택되었다. 다양성과 경제성도 성과기대에 영향을 미치는 것으로 나타났다. 매개변수인 성과기대와 노력기대는 학습자의 만족도에 정의 영향을 미친다는 가설은 채택되었다. 이런 결과는 UTAUT에 기반한 m-learning 운영에 필요한 기초자료를 제공하였다는 시사점이 있다. 이와 같은 시사점에도 불구하고 UTAUT에서 제시된 요인 중 일부만을 분석하였다는 한계점이 있다. 향후에는 대학생 외에 일반인에 대한 분석도 포함하여 UTAUT에 기반한 m-learning에 미치는 다양한 영향 변수에 대한 분석을 통하여 계속적으로 보완하고자 한다.

• Journal of Information Science Theory and Practice
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• 제10권3호
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• pp.24-39
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• 2022

Online learning is becoming ubiquitous worldwide because of its accessibility anytime and from anywhere. However, it cannot be successfully implemented without understanding constructs that may affect its adoption. Unlike previous literature, this research extends the Unified Theory of Acceptance and Use of Technology with three well-known theories, namely compatibility, online self-efficacy, and knowledge sharing and acquisition to examine online learning adoption. A total of 264 higher education students took part in this research. Partial Least Squares-Structural Equation Modeling was used to evaluate the proposed theoretical model. The findings suggested that performance expectancy and compatibility were significant predictors of behavioral intention, whereas behavioral intention, facilitating conditions, and compatibility had a significant and direct effect on online learning's actual use. The results also showed that knowledge acquisition, knowledge sharing, and online self-efficacy were determinates of performance expectancy. Finally, online self-efficacy was a predictor of effort expectancy. The proposed model achieved a high fit and explained 47.7%, 75.1%, 76.1%, and 71.8% of the variance of effort expectancy, performance expectancy, behavioral intention, and online learning actual use, respectively. This study has many theoretical and practical implications that have been discussed for further research.

• 경영정보학연구
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• 제23권4호
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• pp.1-22
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• 2021

코로나19로 인한 언택트 환경 속에서 모바일 간편결제가 확산하고 있다. 모바일 결제 시 본인 인증을 위해 다양한 수단이 사용되고 있으며, 최근 생체정보의 활용이 증대되고 있다. 본 연구에서는 생체정보 사용에 영향을 주는 여러 가지 요인과 사용의도에 대한 상관 분석을 하였다. 요인별 변수를 성과기대, 노력기대, 사회적 영향 및 보안성으로 구분하고, 사용의도와의 연관성 파악을 위해 통합기술수용이론을 기반으로 실증분석을 하였다. 이를 위해 변수들을 단계적으로 투입하는 단계적 회귀분석을 총 4회 실시하였다. 분석결과, 통합기술수용이론에서 제시된 성과기대, 노력기대, 사회적 영향, 보안성 등이 모두 사용의도에 긍정적인 영향을 미치고 있으며, 또한 노력기대와 보안성은 생체인증 경험여부에 따라 사용의도에 조절효과가 있는 것으로 제시되었다. 이 연구를 통해 생체정보의 효과적 활용과 기술 발전에 도움이 되기를 기대한다.

• Journal of Korea Trade
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• 제25권7호
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• pp.56-74
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• 2021

Purpose - This study aims to identify consumer tendencies in Korea and Vietnam, focusing on the online platform called cross-border, to derive revenue generation measures and use them for strategies to advance into ASEAN. Design/methodology - The questionnaire collected 420 copies from December 1 to December 31, 2020, of which 408 were used for statistical processing. The structural equation model (SEM) and moderating effect analysis with Amos was used to test hypothesis in this research. Findings - The hypotheses were set as factors that positively influence the intention to use e-commerce, such as effort expectancy, social influence, facilitating conditions and variety seeking showed statistically significant results. Among them, the social influence factor had the greatest influence, followed by facilitating condition. The sample was divided into countries, Korea and Vietnam, and these changes and differences in influence were confirmed through moderating effect analysis. Originality/value - The moderating effect on both countries (Korea and Vietnam) was found to have a moderating effect on the intention to use. For Korean consumers, significant results were found in the effort expectancy, social influence, facilitating conditions, and variety seeking, but for Vietnamese consumers, there were significant effects on the social influence and facilitating conditions, but the effort expectancy and variety seeking had no significant effect.