• Proceedings of the Korean Society of Computer Information Conference
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• 2010.07a
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• pp.301-306
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• 2010

본 연구는 창업분야의 공공부문 정보시스템인 BI-Net의 활용성을 제고하기 위한 요인들을 살펴보고자 한다. 이를 위하여 정보시스템의 성과를 측정하기 위한 정보시스템 성공모델과 기술수용과 사용에 관한 통합이론을 기반으로 BI-Net의 사용의도에 영향을 주는 요인들과의 관계를 실증분석을 통하여 파악하였다. 실증분석 결과 정보품질 및 시스템품질과 성과기대가 사용자 만족도에 영향을 주는 것으로 나타났으며, 정보품질 및 시스템품질과 성과기대 및 노력기대가 BI-Net의 사용의도에 영향을 주는 요인인 것으로 나타났다. 또한 운영평가수준과 사용자 성별이 사용의도와 영향요인과의 관계에서 조절효과가 있는 것으로 나타났다. 이러한 결과를 바탕으로 사용자 만족을 위해서 BI-Net의 품질수준을 높이는 것이 중요하며, BI-Net의 사용의도를 높이기 위해서는 사용자 만족과 함께 시스템에 대한 기대수준을 높여야 함을 제시하였다. 또한 창업보육센터의 상황과 사용자에 적합하게 시스템을 설계하는 것도 BI-Net의 사용의도를 높이는 방법임을 제시하였다.

• Journal of Digital Convergence
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• v.12 no.5
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• pp.159-169
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• 2014

The purpose of PMO (Project Management Office) systems implementation in public sectors is to prevent the potential risks of IT projects with the project management for the electronic government, and to improve the quality of the project. As a leading country in software areas, PMO systems will play an important role to lead the best smart electronic government in the global world. This study suggested an operating model of PMO systems in public sectors in advance to use the PMO systems in public sectors by conducting a research investigating the key organizational role as the major factor which affects the behavioral intention of PMO systems implementation. We tested a hypothesis that Effort Expectancy factors and Facilitating Condition among the interested party groups will influence the Behavioral Intention of PMO systems implementation, and the result have given no difference to the Control Effect among the interested party groups. This study have shown that the interested party groups have common recognition about the Behavioral Intention of PMO systems implementation in the public sectors.

• The Journal of Society for e-Business Studies
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• v.24 no.2
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• pp.143-163
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• 2019

The purpose of this study is to identify acceptance factors and influencing factors of respondents' adoption of smart IoT technology to companion animal health based on the integrated technology acceptance model. Based on the previous studies, we constructed the hypotheses by defining the technical factors, social factors, control variables, and mediating variables (UTAUT), and set the hypotheses between the independent variables of each factor and the dependent intention. A research model was designed to verify the relationship between variables. We developed questionnaires on the items and verified them through data collected from 494 people. As a result, product design, quality of service, product performance, and quality service of technological factors had a significant effects on performance expectancy and effort expectancy. However, product safety, product function awareness, and product price did not significantly affect performance expectancy and effort expectancy. Social influence had significant effects on cognitive effect, welfare system, and welfare facilities. In conclusion, the comparative analysis of technical factors and social factors showed that social factors have more significant effects on welfare systems and facilities.

• Information Systems Review
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• v.19 no.3
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• pp.1-21
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• 2017

The Internet of Things (IoT) analysis aims to verify the technical characteristics, performance expectations, and adoption intentions of IoT. This work refers to IoT data from foreign and domestic publications and websites as well as aims to benefit related organizations by referring to reports from agencies. The literature review summarizes the relevant theories and background of the unified theory of acceptance and use of technology. The SPSS 22.0 software and structural equation models (smart PLS 2.0) are used in the data analysis. Technical statistics analysis, reliability analysis, validity analysis, structural equation models, and statistical methods are employed to test the research hypotheses, that is, the technical characteristics of IoT will have positive effects on its performance expectations. This study introduces the characteristics and expected performance of IoT to present relevant IoT guidelines for companies that aim to adopt such technology.

• Management & Information Systems Review
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• v.35 no.2
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• pp.167-183
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• 2016

This study has recognized easy payment service as one of the new types of application of information and communication technologies and proposed a modified acceptance intention model by adding perceived risk factor based on the unified theory of acceptance and use of technology(UTAUT) and then explored those variables that effect the acceptance intention of consumers. The results of this study can be summarized as the followings. First, expectation on the efforts, social impact have positive effect on the acceptance intention and perceived risk has negative effect on the acceptance intention but expectation on the efforts and promotion condition were found to have no effect on the acceptance intention. Second, among the factors suggested, social impact was found to have more effect of causing the acceptance intention of users than expectation on the efforts and perceived risk. Third, it was found that there is a significant association between the acceptance intention and use behavior of users of easy payment service. This means that, as was reviewed in the preceding researches, the acceptance intention affects actual acceptance behavior of users either directly or indirectly. Fourth, even though innovation resistance has regulation effect on the relationship between expectation on efforts or social impact and acceptance intention, it was found to have no regulation effect on the relationship between perceived risk and acceptance intention.

• 한국벤처창업학회:학술대회논문집
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• 2022.11a
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• pp.95-104
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• 2022

근래 지구온난화에 따른 자연재해의 증가와 장기 코로나19의 전염으로 사회적 비대면 필요성이 증대되면서 온라인을 통한 건강관리 및 의료 진단·처방 등 디지털 헬스케어의 필요성이 증대되고 있다. 디지털 헬스케어로 기존 병원 진료의 온라인 원격 진료/처방이 지속 증가하고 있을 뿐만 아니라 관련 빅데이터를 모아 개인 건강과 질병 상태 정보를 취합하여 건강 관리 및 치료를 하는 디지털 치료제 개발이 급속 진행되고 있으며 관련 벤처 창업도 활발히 진행되고 있다. 이러한 디지털 헬스케어, 디지털 치료제 산업의 활성화는 각 개인의 신체 상태를 상시 측정하고 이 정보를 관련 시스템과 연동 할 수 있는 웨어러블 디바이스, 특히 스마트워치의 보급 증대에 힘입은 바가 크다. 본 연구에서는 스마트워치의 기술혁신이 디지털 헬스케어의 수용성에 어떻게 영향을 미치는지 확장된 통합기술수용모델을 적용하여 분석하고, 혁신 사례로 스마트워치를 활용한 디지털 수면 치료제 벤처 개발 현황을 제시하였다. 본 연구를 통해 확인한 결과는 다음과 같다. 첫째 디지털 헬스케어 스마트워치의 개인혁신성, 효용가치, 사용편의 등 ICT 변인들에 대한 기술발전의 매개 영향은 유의한 것으로 나타났다. 둘째 ICT 변인들과 기술발전 매개변수는 디지털 헬스케에 스마트워치 수용의도에 대부분 정(+)의 영향을 미치는 것으로 확인되었다. 단 기술발전은 개인혁신성에는 크게 매개하지 않는 것으로 나타났다. 이러한 혁신기술의 디지털 헬스케어 스마트워치 수용의도 영향 평가 결과는 스마트워치 각종 서비스 상품기획과 마케팅에 유효하게 참조 할 수 있을 것으로 보이며 추후 세분화 연구를 통하여 더욱 소비자 특화된 제품과 서비스를 창출하는데 기여 할 수 있을 것으로 사료 된다.

• Korea Journal of Hospital Management
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• v.26 no.4
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• pp.12-28
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• 2021

Purposes: The convenience of smartphones have lead to people's overdependence on devices, which may cause obstacles in daily life. It is useful to manage smartphone overdependence by using mobile health applications. We aimed to investigate the acceptance of mobile health applications designed to help in the management of smartphone overdependence. Methodology/Approach: We developed the extended model based on the Unified Theory of Acceptance and Use of Technology 2. The modified model had six hypotheses with six variables: result demonstrability, performance expectancy, effort expectancy, social influence, perceived risk, and behavioral intention to use. We randomly included 425 smartphone users in an online survey in 2020. A structural equation model was used to estimate the significance of the path coefficients. Findings: Performance expectancy and social influence had a very strong direct positive association with behavioral intention to use. Result demonstrability had a direct positive association with performance expectancy. Perceived risk had a strong direct negative association with performance expectancy. Performance expectancy and social influence were the main factors directly influencing the acceptance of mobile health applications for the management of smartphone overdependence. Practical Implications: We demonstrated smartphone users' acceptance of mobile health applications for smartphone overdependence management. Based on these results, we could develop mobile health applications more effectively.

• Journal of Korea Technology Innovation Society
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• v.22 no.1
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• pp.119-157
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• 2019

It is important for the people in the 3D printing industry to determine which factors influence the decision-making that determine the adoption of 3D printers and the role of the factors. Through this, we intend to find ways to contribute to the development of 3D printing industry in Korea by increasing utilization of 3D printer used in domestic companies and increasing investment in related industries. 3D printers are making rapid progress according to the development of technology, the public interest, and the activation of investment. Foreign countries have made remarkable progress in equipment, materials, software, and industrial applications, but they are lower than expected in Korea. It is necessary to introduce a smooth 3D printer in order to revitalize the 3D printer industry and enlarge the base, but it is insufficient for actual introduction and field application. The independent variables that represent economic, technological, and environmental characteristics were selected through a literature survey, and a model for accepting integrated technology for convergence of societies in the 3D printing industry was proposed. This study confirms that economic factors such as output unit price, government support, and environmental factors such as 3D contents should be developed organically for the introduction of 3D printing technology and equipment. This require systematic and effective support from the government, and it is necessary to improve the economic support, related laws, and systems that can be directly experienced by the user as a user. As the domestic 3D printing industry develops with economic, technological and time investment, 3D printing industry should be the key engine of the 4th industrial revolution.

• Journal of the Korean Society for information Management
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• v.34 no.2
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• pp.47-80
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• 2017

The purpose of this study is to develop an adoptive model of institutional repositories (IRs) by identifying the key factors affecting adoptive intention of IRs and explaining the relations among these factors. Through a survey of 270 researchers and 12 in-depth interviews in the field of physics, mathematics, and life science in Korea, performance expectancy, perceived risks, socio-organizational influence, and individual characteristics were found to have substantial influences on the adoptive intention of IRs. Among the key factors, individual characteristics showed the greatest effect on the adoptive intention of IRs, followed by performance expectancy and other socio-organizational influences except for the perceived risks. Strategies to enhance the adoptive intention of IRs based on analyses of the results were suggested, in terms of the reformation of research assessment system at the national level, strengthening of role of the operational institution, and the need for voluntary scientists-participating service.

• Journal of Digital Convergence
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• v.10 no.4
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• pp.107-118
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• 2012

Smart TV is expected to take the center stage of the recent "smartization" trend in IT and consumer electronics as it performs a hub for various smart IT devices, such as smart phone, smart pad, PC, etc. It is distinct from traditional TVs or even IPTVs in the sense that it provides immersive and interactive experiences via apps downloaded through TV app store. Smart TV could serve as a new intermediary device between other smart devices and the Internet. While it started experiencing a rapid growth, little research has been conducted to understand this emerging technology in terms of its user acceptance and adoption by users. The current research attempts to fill the gap in the field by examining factors and processes for this new technology to be adopted by users. This paper draws on theories of IT acceptance and use, such as the "Unified Theory of Acceptance and Use of Technology", to investigate factors affecting "intention to use" of smart TV. The proposed research model is analyzed using the structural equation modeling approach. Findings show that such factors as innovativeness, switching cost, switching benefit, service interface, and user interface affect users' intention to use smart TV, through effort expectation, performance expectation, and social influence. Theoretical and managerial implications are discussed.