• Journal of Information Technology Applications and Management
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• 제27권3호
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• pp.1-18
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• 2020

Recently, following the development of FinTech technology that combines finance and information and communication technology, the need and social demands for a block chain technology-based trading system have increased significantly. In this study, a research model was developed and hypothesized through literature research on the concept of block chain technology, the technology acceptance model, and the unified theory of acceptance and use of technology. The research theories were tested by collecting data through surveys and analyzing the collected data. This study conducted empirical research to identify the factors influencing the user acceptance intention and utilization behavior of the block chain technology in introducing the block chain technology. First, factors affecting the acceptance intention of the blockchain user were performance expectation, effort expectation, social impact, and blockchain transparency variables. Second, the facilitation conditions and stakeholder confidence variables were analyzed as factors that did not affect the acceptability of the blockchain users. Third, variables such as blockchain transparency, stakeholder trust and intention of acceptance are factors that affect the usage behavior of the blockchain. Fourth, it was confirmed that the acceptance intention had a very high explanatory power on usage behavior of Blockchain technology.

• 한국정보시스템학회지:정보시스템연구
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• 제26권4호
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• pp.303-325
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• 2017

Purpose The purpose of this study is to forage for the factors for explaining the adoption behavior of the mobile convenient payment system based on the Personality Trait, Unified Theory of Acceptance and Use of Technology, and Regulatory focus. Design/methodology/approach This study made a design of the research model by integrating the factors of Unified Theory of Acceptance and Use of Technology with the factors of Big five personality traits on the basis of Samrt device environment. In addition, this study, did empirical analysis of the structural equation model by PLS(Partial Least Squares) in order to find out the relationship of personal factors and mobile convenient payment system's features. Findings According to the empirical analysis result, this study confirmed that the acceptance of mobile convenient payment systems is influence by personality traits and factors based on Unified Theory of Acceptance and Use of Technology and trust. In addition, this study find out that the behavior of an adoption of mobile convenient payment systems according to the type of regulatory focus.

• 한국정보시스템학회지:정보시스템연구
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• 제28권2호
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• pp.181-200
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• 2019

Purpose In order to find out the influential factors to accept the mobile convenient payment service like Apple pay or Samsung Pay based on the Unified Theory of Acceptance and Use of Technology according to the type of High and Low value payments. Design/methodology/approach This research model is designed on the factors of Unified Theory of Acceptance and Use of Technology and simultaneously analysed, or performed the empirical analysis of the PLS-SEM(Partial Least Squares structural equation model) in order to forage for the association among mobile convenient payment service's features. Findings According to the empirical analysis consequence, this research confirmed that the adoption of mobile convenient payment services is influence by features on the basis of Unified Theory of Acceptance and Use of Technology, mobility, and trust. Also, this paper figure out that the behavior of an user acceptance of mobile convenient payment services according to the type of high and low value payments.

• 한국정보시스템학회지:정보시스템연구
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• 제30권3호
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• pp.137-158
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• 2021

Purpose This study aims to investigate which factors have impact on the acceptance intention of new electronic ID. For the empirical analysis, this study utilized PLS-SEM after collecting 385 survey data, and analyzed relations between each factors. Design/methodology/approach This study made a design of the research model by integrating the factors deducted from the Unified Theory of Acceptance and Use of Technology with the factors deducted from the Risk Factors. Findings The results are as follow; First, of the UTAUT factors, Performance Expectancy, Effort Expectancy and Social Influence and has positive impact on Acceptance Intention, but Facilitating Conditions doesn't have meaningful impact on Acceptance Intention. Second, of the Risk factors, Innovation Resistance has negative impact on Acceptance Intention, but Perceived Risk dose not have meaningful impact on Acceptance Intention. Finally, regulatory effect of the Promotion Focus, Prevention Focus and Gender has regulatory impact to Acceptance intention. It is expected that the implications of this study enables government effectively to offer new electronic ID.

• 인터넷정보학회논문지
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• 제20권1호
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• pp.113-124
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• 2019

Recently, Omni Channel Services has been considered the most innovative business strategy. Omni-Channel sees a variety of channels from all channels viewpoints, organically combining each channel to provide a seamless experience for consumers. In other words, Omni-Channel is not simply a systematic integration of channels, but a means of delivering consistent services to consumers in all processes through a strategy to an organic connection. The aim of this study is to provide a comprehensive insight into the decision factors affecting the adoption of Omni-channel. For this purpose, an empirical analysis is conducted on the course of acceptanceof the Omni-channel service based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and Task-technology fit (TTF), an effective model frequently selected to describe the acceptance of service in the introduction phase of new information technology. As a result of the study, it was confirmed that the task characteristics and the technical characteristics had a positive effect on the task-technology fit, and the task-technology fit had a positive effect on the performance expectancy. In addition, task-technology fit, performance expectancy, and social influence have a positive effect on the intention to use the Omni-Channel. This study is intended to deliver an experimental meaning by proposing a strategical measure to understand the behaviorsand uses of consumers in the Omni-channel service environment and increase the customer satisfaction for the system.

• International Journal of Internet, Broadcasting and Communication
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• 제10권3호
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• pp.1-10
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• 2018

Wearable Technology is going to be the biggest buzzword and the next generation of digital revolution in the near future. Wearables have changed the focus of the healthcare industry to prevention programs in order to encourage individuals to be more active and to take the responsibility of their own health. Although, the intention of consumers to use wellness wearables has been growing rapidly, the number of individuals who refuses continued use of such devices increases day-by-day. Diffusion and innovation of new technology could be more efficiently gained by consumer's adoption. So, it is extremely important for providers and designers to understand the impact of positive and negative factors on consumers' intention to use wellness wearables. Moreover, a unified framework is required for better understanding of individuals' behavioral intention for using wellness wearables. Thus, the goal of this study is to identify the potential factors that influence consumers' willingness to use wellness wearables as well as proposing a unified framework based on Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and Value-based Adoption Model (VAM) with two extra factors, perceived trust and perceived health increase. The findings of this article improves the theoretical understanding of the engaged factors in the proposed research model of the study.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권8호
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• pp.4162-4179
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• 2017

The main purpose of this research is to investigate relationships between the significant control factors on acceptance intention to User Experience (UX) sports smart wearable devices by applying Technology Readiness (TR) and Unified Theory of Technology (UTAUT). Research survey targeted on users of golf smart devices in Seoul. A total 534 questionnaires were collected and used for testing hypotheses. Methods to analyze the data included frequency analysis, reliability analysis, confirmatory factor analysis, correlation analysis, and structural equation modeling in accordance with the purpose of the study by using SPSS and AMOS. The results are as follows; First, positive TR had a significantly positive effect on social influence, effort expectancy, facilitating conditions, perceived enjoyment, performance expectancy. Second, negative TR had a significant negative effect on performance expectancy, social influence, facilitating conditions, perceived enjoyment. Third, TR had a no significantly effect on behavioral intention. Fourth, performance expectancy, perceived enjoyment and facilitating conditions had a significantly positive effect on behavioral intention. Fifth, behavioral intention had a significantly positive effect on use behavior. Thus it became crucial to identify the difference in acceptance intention models per each products are as follows. Positive TR of golf-related mobile application users has a positive effect on both technology acceptance belief and acceptance intention, whereas negative TR has no statistically significant effect on technology acceptance belief nor acceptance intention.

• Journal of Information Technology Applications and Management
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• 제21권4_spc호
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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.

• 벤처창업연구
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• 제17권2호
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• pp.153-165
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• 2022

코로나19 팬더믹 사태로 인해 교육 및 학습 활동이 온라인으로 이동할 수밖에 없게 되면서, 교육 및 학습에 정보통신기술을 사용하는 것은 더이상 선택이 아닌 필수 요소가 되었으며, 에듀테크(Edutech) 스타트업에 대해 벤처캐피탈은 역대 최대 투자액을 투자하고 있다. 이러한 상황에서 본 연구는 디지털 시대에 필수능력인 된 디지털 리터러시와 함께 통합기술수용이론(UTAUT: Unified Theory of Acceptance and Use of Technology)을 같이 고려하여, 학습에서 디지털기술을 사용하려는 의도에 영향을 미치는 요인들에 대해 연구하였다. 또한 디지털 리터러시에 많은 영향을 끼친다고 알려져 있는 요소인 연령에 따라 달라지는 요인들의 영향력 차이를 분석하였다. 구조 방정식 모형 분석 결과, 성과기대, 노력기대, 사회적 영향이 학습에서 디지털기술을 사용하려는 의도에 긍정적인 영향을 미치는 것으로 나타났으며, 디지털 리터러시는 성과기대, 노력기대, 사회적 영향에 긍정적인 영향을 끼치는 것으로 드러났으나 학습에서 디지털기술을 사용하려는 의도에 직접적으로 끼치는 영향은 유의하지 않게 나타났다. 그리고 연령의 조절효과를 보기 위해 실시한 다중집단분석 결과, 사회적 영향이 학습에서 디지털기술을 사용하고자 하는 의도에 미치는 경로에 대해 10대와 60대, 20대와 60대, 30대와 60대간의 차이가 유의하게 줄어드는 것을 알 수 있었다. 본 연구는 이론적 측면에서 디지털 리터러시와 통합기술수용이론을 함께 고려하여 학습이라는 특정상황에서 디지털기술을 사용하고자 하는 의도에 미치는 요인에 대한 연구의 외연을 확대하는데 기여했으며, 실무적 측면에서 학습 참여자들이 보다 적극적으로 디지털기술을 사용하게 만들 때에 연령별로 주요하게 고려해야할 요인에 대한 지침으로 활용할 수 있을 것이다.

• 한국유기농업학회지
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• 제28권2호
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• pp.119-138
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• 2020

The purpose of this study was to examine the intention of consumer acceptance of technology in agricultural production by applying the unified theory of acceptance and use of technology (UTAUT) to smart farm. In particular, this study analyzed the intention to accept the technology of agricultural students, farmers, start-up farmers, returning farmers, and returnees in the general manufacturing industry and high-tech industries, and in agricultural sectors corresponding to primary industries. The results showed that performance expectancy, social influence, facilitating conditions, IT development level, and reliability had a significant influence on the intention to use smart farm technology. However, effort expectancy and price value were rejected because no significant impact on use intention was tested. In addition, the influences of the variables showing their influence were reliability (β=.569) > IT development level (β=.252) > social influence (β=.235) > performance expectancy (β=.182) > facilitating conditions (β=.134).