• The Journal of the Korea Contents Association
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• v.15 no.4
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• pp.454-468
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• 2015

The purpose of this study is to investigate the relationship between product attributes of smart device and user acceptance of technology. Moreover, the authors examined mediating effect of utilitarian and hedonic motivation between product attributes and user acceptance. Previous researches focused on user attitude and behavior intention of new technology based on Technology Acceptance Model(TAM). However, differently from previous researches, which are focused on user attitude like perceived usefulness and perceived ease of use, this research emphasized the relationship product attributes such as product functionality, design, and convenience and user motivation both utilitarian(effort expectancy and performance expectancy) and hedonic motivation(perceived enjoyment) according to UTAUT model. The results shows that 3 motivation variables(effort expectancy, performance expectancy, and perceived enjoyment) have positive impacts on user acceptance intention of smart device. product design has positive relationship to perceived enjoyment and product convenience has positive relationship to both effort and performance expectancy. Furthermore, 3 motivation variables play a full mediation between product attributes and user acceptance intention of new technology. However, product functionality has no relationship to both effort and performance expectancy. Research contribution, implications, and further research directions are discussed at the end of the paper.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.3
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• pp.19-32
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• 2020

This study analyzed the effects of ICT technical characteristics of agricultural industry on smart farm entrepreneurial intention by using smart farm effort expectation and smart farm acceptance intention as mediators for smart farm pre-founders. Sub-variables of the technical characteristics of agricultural industry ICT were classified into availability, economics, data convergence and scalability. 349 questionnaires collected from pre-founders living in the country were used for empirical analysis. SPSS v22.0 and Process macro v3.4 were used to analyze the data based on serial multiple mediation model. First, economics and scalability had a positive (+) effect on start-up intention. Second, availability, economics and scalability had a significant effect on effort expectation. Third, effort expectation had a significant positive effect on acceptance intention. Fourth, acceptance intention had a significant positive effect on start-up intention. Fifth, the indirect effects of economics on start-up intention were all significant through effort expectation, through acceptance intention and through both effort expectation and acceptance intention. Sixth, the indirect effect of data convergence on start-up intention was significant through acceptance intention. Seventh, the indirect effect of scalability on start-up intention was significant through effort expectation and through both effort expectation and acceptance intention. As a follow-up study, it is necessary to study for the mediating variables other than mediators introduced in the study or the moderated mediation analysis through the conditional process model in which the moderating variable is introduced.

• 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.

• 한국벤처창업학회:학술대회논문집
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• 2018.11a
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• pp.111-120
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• 2018

최근 농촌 고령화와 노동력 부족, 경지면적의 감소, 이상기후에 따른 환경 변화, 시장개방에 따른 무한경쟁 상태에 놓인 국내 농업의 어려운 상황 속에서 스마트팜은 미래 농업의 새로운 트렌드로 주목받고 있다. 이에 본 연구는 스마트팜의 기술수용의도에 미치는 영향요인들을 살펴보고 이를 바탕으로 스마트팜 도입 확산을 위한 제언을 하고자 한다. 본 연구에서는 스마트팜 수용의도에 가장 영향을 미치는 요인으로 통합기술수용이론(UTAUT)을 근거로 스마트팜의 기술적 특성과 노력기대를 제시하였다. 실제 농업에 종사하고 있는 농업인들을 대상으로 수집한 설문결과를 자료분석에 사용하였으며, 독립변수로는 스마트팜의 기술적 특성으로 가용성, 신뢰성, 경제성을 선정하여 종속변수인 스마트팜 수용의도에 미치는 영향요인을 분석하였고, 노력기대의 매개효과를 분석하였다. 연구결과, 스마트팜의 기술적 특성 중 가용성과 경제성은 스마트팜 수용의도에 정(+)의 영향을 미치며, 신뢰성은 스마트팜 수용의도에 영향을 미치지 않는 것으로 나타났다. 또한, 스마트팜의 기술적 특성인 가용성, 신뢰성, 경제성은 스마트팜 노력기대에 정(+)의 영향을 미치는 것으로 나타났다. 이와 함께 스마트팜에 대한 노력기대는 스마트팜의 기술적 특성과 독립적으로 스마트팜 수용의도에 정(+)의 영향을 미치는 것으로 나타났다. 매개효과와 관련해서는, 스마트팜에 대한 노력기대는 스마트팜의 기술적 특성인 가용성, 신뢰성, 경제성과 스마트팜 수용의도간의 관계를 매개하는 것으로 나타났다. 이러한 분석결과는 농업인들의 스마트팜 도입을 촉진시키기 위해서는 스마트팜 기술의 안정적 기능 수행을 체감할 수 있는 전문적인 현장실습교육 프로그램, 기기 및 통신의 표준화, 스마트팜 도입에 따른 투자대비 수익성 변화의 구체적 제시, 양질의 환경 생육 데이터 수집 및 활용 체계 구축이 필요함을 시사한다.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.379-388
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• 2013

u-Healthcare integration between ICT and healthcare service is able to utilize effectively for people's healthcare anywhere and any time. The purpose of this study is to explore the perception and influence factors on intention to use u-Healthcare service of physicians and staffs working for medical institutions. Ninety eight(98) valid cases have been collected for this study. It is also analysed by SPSS 18.0 and SmartPLS 2.0M3. Empirical findings provide important insights as follows: firstly, performance expectation, effort expectation and social influence positively influence intention to use u-Healthcare service; secondly, perceived risk negatively influences usage intention, and finally, performance expectation, effort expectation and perceived risk are moderated by voluntariness.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.123-129
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• 2018

This study aims m-learning based on UTAUT and learners' satisfaction For empirical analysis, a survey was conducted on 289 university students and SPSS 22.0, AMOS 21.0 were used. The result of structual equation modeling analysis are as follows: First, performance expectancy was influenced by security, diversity, economics. Second, performance expectancy, effort expectancy affect learners' satisfaction. This research provide practical guidance in m-learning based on UTAUT amd the limltation of this research and future study are discussed. In the future, variables of m-learning based on UTAUT including the general public besides university students will be complement to analyze.

• The Journal of Korean Association of Computer Education
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• v.17 no.5
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• pp.35-42
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• 2014

This study utilized an analysis of teachers' use of smart devices in the class, which highlighted the impact factors, and elucidated the relationship between in fluencing factors. The Unified theory of Acceptance and Use of Technology (UTAUT) model is based on the study of extension and modification of the model proposed. For the study, a survey of 1,016 elementary school teachers in the Gangwon and Metropolitan(Seoul, Gyeonggi, Incheon) area was conducted. Was applied using the AMOS structural equation modeling analysis. The analysis examines the utilization of smart devices in class as factors affecting performance expectancy, effort expectancy of the main variables showed, Instant connectivity and Openness that has a direct impact on the performance expectations and effort expectancy.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.217-225
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• 2021

This study aimed to provide implications required to establish a content strategy by examining the influencing factors affecting the acceptance of curation services for 320 OTT users, and the main results are as follows. First, innovativeness was found to have a positive effect on performance expectations. Second, innovativeness was found to have a positive impact on the effort expectation. Third, performance expectation had a positive effect on the intention to use continuously. Fourth, it was shown that the effort expectation had a positive effect on the intention to use continuously. Fifth, social influence was found to have no significant effect on the intention to use continuously. Sixth, it was found that the facilitating conditions did not significantly affect the intention to use continuously. The above results can be assessed as the higher the OTT users perceive the performance and effort expectations of the curation service, the higher their intention to continue using them. This study is meaningful in that it verified the factors affecting the intention to use the OTT curation service and expanded the UTAUT model.

• The Journal of Bigdata
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• v.9 no.1
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• pp.17-30
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• 2024

This study categorizes the factors that affect the intention to continue using ChatGPT into positive motivational factors (personalization, social influence) and negative motivational factors (privacy concern, perceived risk) and investigates whether they affect the intention to continue using ChatGPT through information trust, performance expectancy, and effort expectancy. To this end, a survey was conducted among 265 adults in their 20s and above who have used ChatGPT service. The results showed that personalization and social influence had a defining effect on information trust, performance expectancy, and effort expectancy. For privacy concern, we found a negative effect of wealth on performance expectations, but not on effort expectations. Perceived risk had a negative effect on performance expectancy and effort expectancy. In addition, information trust, performance expectancy, and effort expectancy have a defining effect on continuance intention. This study extends the scope of existing research that focuses on positive factors, deepens our the understanding of ChatGPT. It also provides useful suggestions for continued use of ChatGPT.

• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.477-490
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• 2014

The purpose of this study is to investigate factors influencing continuous usage intention of mobile learning and suggest practical strategies to enhance learners' continuous usage intention of mobile learning. In this study, we hypothesized that system quality, information quality, service quality and personal innovativeness have a positive effect on effort expectancy and performance expectancy, which ultimately have a positive effect on continuous usage intention. In order to examine structural relationship among variables, we surveyed 279 students who took courses at W Cyber University in 2013 fall semester. After collecting data, we examined causal relationship among variables using Structural Equation Modeling. The results of this study are as follows: First, system quality and personal innovativeness significantly affect effort expectancy. Second, information quality, service quality and personal innovativeness significantly affect performance expectancy. Last of all, effort expectancy and performance expectancy significantly affect continuous usage intention of mobile learning.