• Journal of Korea Technology Innovation Society
• /
• v.20 no.1
• /
• pp.175-204
• /
• 2017

The existing innovation policies and strategies mainly focused on the influencing factors for improvement of innovation outcome. However, these strategies were not always successful in driving innovative activities that make technology innovation disseminated. In this regard, innovation ecosystems approach has recently been coming to the force to establish a successful innovation strategy. The innovation ecosystems concept describes that innovation processes are evolved through collaborative networks of economic actors. In an innovation ecosystem, different organizations collaborate for technology development and its use. They interact for value co-creation by sharing mutual resources. The organizational networks are re-organized by dynamic changes of actors' interactions, which drive innovation mechanism of the networks. Recent studies on innovation ecosystems mostly have paid attention on developing theoretical frameworks to describe dynamics of an innovation ecosystem. There have hardly been empirical tests on the theoretical ecosystem models. In this vein, we investigated dynamics of an innovation ecosystem by analyzing structural characteristics of a collaborative network among organizations which are involved in the use of innovative technologies. Particularly, we examined the longitudinal changes of the interaction patterns among the organizations. This test was performed by an analysis of structural equivalence on the network dataset transformed from the organizational interactions. This result provides a guideline for an organization in developing an innovation strategy under a systemic perspective.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.10 no.1
• /
• pp.143-151
• /
• 2015

Technology convergence, recently accelerated in various technical fields, can be achieved by discovering a new technology while exchanging the knowledge among the different technologies and utilizing such knowledge into the existing fields of technology. In particular, technology convergence actively occurs in knowledge-intensive ICT. However, limited research is available on the routes of ICT technical knowledge diffusion because of insufficient data. Therefore, this study built a database on the citations of patent data applied from 2006 to 2013 in Korea and their cited patents. We drew a patent citation network, a technology citation network and an applicant citation network, after which we analyzed the routes of technical knowledge diffusion. Results showed that ICT played a leading role in knowledge citation among technologies and that such diffusion took a shorter time in technology citation when it occurred more frequently and when the citation occurred between ICTs. In addition, most of the ICT showed a strong citation relationship with the other ICTs or such technologies in the field of physics or electricity, whereas electric elements (H01) showed various citation relationships with technologies other than ICT. Furthermore, we found a strong technology diffusion relationship between domestic corporations and domestic natural persons. National organizations often cited the patents of other applicants, whereas the patents of domestic corporations were actively cited between domestic corporations or by other applicants. Thus, this study is expected to be useful in measuring the performance of technologies, including the diffusion to other technologies. As well as in considering the routes of technical knowledge diffusion in Korea.

• Information Systems Review
• /
• v.19 no.4
• /
• pp.135-156
• /
• 2017

An intelligent personal assistant (IPA) is a software agent that assists people to perform basic tasks or services for an individual by commonly providing information via natural language. In spite of the versatile capabilities of the IPA to answer a user's simple information-based queries, such as the weather and driving directions, the actual usage rates for IPA services are limited to date. In this research, to evaluate the factors affecting the intention to use IPA, we develop an empirical model based on technology acceptance model, innovation diffusion theory, and IS success model. Afterward, we collect 203 questionnaires from actual users of IPAs. Finally, the structural equation model validates the causal relationship between the constructs of the model. Consequently, the innovation characteristics of IPA drawn from innovation diffusion theory, namely, relative advantage, compatibility, observability, all exerted a positive influence on perceived usefulness. Furthermore, information quality, a quality characteristic of IPA obtained from DeLone and McLean's IS success model, presented a positive effect on perceived usefulness and perceived ease of use. Finally, the perceived intelligence of IPA displayed a positive influence on perceived usefulness and ease of use. This characteristic was also a major factor that can increase the intention to use the IPA. Given these research findings, this study is significant for identifying factors that may influence the intention to use the IPA by providing strategic guidelines to relevant business operators and establishing an integrated model.

• Agribusiness and Information Management
• /
• v.13 no.1
• /
• pp.41-56
• /
• 2021

This study aims to understand the IT savvy degree and the keyword changes on the informatization issues in rural areas during the pandemic status of COVID-19. In the analysis result, we could understand that the informatization policies in rural areas have focused on reducing negative influences on the issues of university entrance exams and higher-level education and economic vulnerabilities. According to the sentiment analysis results on the keywords related to the informatization policies in rural areas, the IT-savvy performance - the improvement of the digital divide and IT utilization capabilities in rural areas - was positively understood. The study is one of the earlier studies considering the relationship between the pandemic of COVID-19 and informatization in rural areas. But still there are limitations of collecting more meaningful data and basic level keywords analysis because of the negative pandemic diffusion of COVID-19.

• Journal of Digital Convergence
• /
• v.10 no.4
• /
• pp.45-53
• /
• 2012

This research aims at developing an electronic culture atlas using smart phones as a way to share the research results of Mind Humanities. An electronic atlas offers the web service of a great deal of information without the limitation of paper, which is different from the existing paper maps. When the concept of culture is added to an electronic atlas, it becomes an electronic culture atlas. To create an application program using smartphones, their various features should be understood and the development method to maximize them is necessary. Accordingly, in this paper, what needs to be taken into consideration for the service based on smartphones and the characteristics of smartphones to be considered in the development process were examined.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2023.05a
• /
• pp.138-138
• /
• 2023

본 연구에서는 유목과 연행침식을 고려한 토석류 수치모형을 개발하여 2011년 발생한 우면산 산사태의 관측데이터를 기반으로 수치모의를 수행하였다. 토석류 모형개발을 위해 천수방정식 기반의 침수모형인 Nays2DFlood 모형에 혼합유사농도의 이송확산, 토석류 지면전단응력, 연행침식모듈을 추가하였으며 유목생성과 유목거동 모의를 위해 입자법 기반의 유목동력학 모형을 결합하였다. 개발된 모형을 검증하기 위해, 민감도분석을 수행하였으며, 모의결과, 우면산 산사태 당시 래미안 APT에 피해를 끼친 충격수심과 충격유속, 최종 토석류 체적을 양호하게 재현한 것으로 판단된다. 또한 토석류를 구성하는 토사입경이 작을수록 토사점성에 의한 전단응력의 증가로 토석류 유속과 수심이 감소했지만 연행침식량이 증가하였으며, 토사입경이 증가하면 유속과 수심이 증가하고 연행침식량은 감소한 것으로 나타났다. 또한 본 연구에서 개발된 토석류 거동모형은 토사입경, 침식 및 퇴적계수 등의 다양한 토석류 매개변수가 요구되기 때문에, 이러한 물성치 데이터가 현장 또는 실내실험에서 충분히 확보되어야 모형의 정확도가 향상될 것으로 판단된다. 따라서, 향후 연구에서는 본 연구에서 고찰된 모형의 적용성과 한계점을 고려하여 토석류 거동을 예측모의 한다면 보다 세부적으로 토석류와 유목거동을 예측분석해 볼 수 있을 것으로 사료된다. 또한 본 연구의 결과는 기후변화로 인한 강우발생의 불확실성과 이로 야기되는 토석류 발생을 사전에 예측하여 토석류 저감대응방안을 구축하는 일환으로 활용 될 수 있을 것으로 기대된다.

• Journal of the Society of Cosmetic Scientists of Korea
• /
• v.37 no.2
• /
• pp.121-127
• /
• 2011

Skin darkness is the source of trouble to many women. Skin darkness is the state that while skin redness and brightness are reduced, skin yellowness is increased. Skin translucency which is measured by skin color, especially brightness is an another expression of skin darkness. Skin brightness is usually expressed by L value of $L^{*} \;a^{*}\; b^{*}$ (CIELAB color space system). However, it is hard to find the relationship between L value and perceptive efficacy such as translucency because the L value is just a factor of evaluation of skin darkness. The skin with high translucency has high scattering reflective light value than low value. In this study, we measured the skin translucency of 20 ~ 30 ages men and women face by both our designed previous device which use polarized light to detect surface and scatter reflective light independently and $Lumiscan^{TM}$ which is improved designed to confirm our new device working ability by calculation of relationship between trnaslucency and scattering reflective light value. The result of this study indicate that there is a high correlation (R = 0.732, p < 0.01) between translucency and scattering reflective light value, and suggest that $Lumiscan^{TM}$ is portable and easy measuring device more that previous device.

• Information Systems Review
• /
• v.7 no.2
• /
• pp.85-100
• /
• 2005

Mobile banking, a type of digital convergence, has recently spread in the ubiquitous age. This study intends to identify the factors that affect the adoption of the mobile banking, which is a field similar to, but even more specialized than, the Internet banking. The results indicate that the significant factors affecting the usage of mobile banking are usefulness, service quality, and instant connectivity, while usability and social influences are not significant. These results are expected to be used for marketing the mobile banking and establishing the technological strategy by the telecommunication and banking organizations.

• Water for future
• /
• v.28 no.6
• /
• pp.119-131
• /
• 1995

Two-dimensional diffusion and kinematic hydrodynamic models have been studied for preparing the flood inundation map. The models have been tested by applying to one-dimensional dam-break problem. The results have good agreements compared with those of dynamic wave model. The diffusion wave model produces the mass conservation error close to zero. Floodwave analyses for two-dimensional floodplain with obstruction and channel-floodplain show both stable and efficient results. The model presented in this study can be used for flood inundation map and flood warning system.

• Journal of the Korea Society for Simulation
• /
• v.27 no.1
• /
• pp.51-60
• /
• 2018

This study aims to understand crucial factors affecting user's Fintech payment service adoption. On the basis of innovation diffusion theory and prior Fintech literature, this study classifies the influence factors of users' adoption of Fintech payment service into two dimensions - service dimension containing complexity, perceived benefit, trust in service provider and user dimension containing personal innovativeness and security breach experience. The data analysis results using binary logistic regression shows the negative direct effects of perceived risk, complexity, security accident experience on user's service adoption are statistically significant. Personal innovativeness has a positive effect on user's Fintech payment service adoption. The moderation effect of security accident experience is also significant at p<0.05.