• Knowledge Management Research
• /
• v.14 no.5
• /
• pp.15-34
• /
• 2013

In a turbulent environment, it is important for a firm to obtain competitiveness through acquiring new technologies and new knowledge. Many studies has shown that R&D has positive effects on innovation and performance. However, the limitation of resources and research personnel for SMEs leads to the needs of collaboration between government R&D and SMEs. The quantitative results of government R&D comes in the form of patents or publication of papers while the qualitative results comes in the form of commercialization (revenue increase or cost reduction) of the SMEs acquiring the technology through technology transfer. Korean government invested 16.9 Trillion Won in 2013 and achieved remarkable quantitative results but the qualitative results are still yet to be improved. The technology transfer rate in 2011 was 26.0% while the success rate of commercialization of the transferred technology is only 23.6%. Therefore it is meaningful to study the success factors of the technology commercialization in Korea. In this study, a case of technology commercialization between ETRI and Initech is studied. Initech was a venture firm which started in 1997 with 2 employees and after transfer of technology from ETRI in 1999, it has grown to a firm of 238 employees. In this study, Jolly's commercialization model was used to analyze the success factors of the commercialization. It was shown that four main factors that leads to the success are (1) mobilizing interest and endorsement through customer oriented R&D by ETRI, (2) mobilizing resources for demonstration through systematic technology commercialization process by ETRI, (3) mobilizing market constitutents through government standardization that leads to the reliability of the participants, and (4) mobilizing complementary assets for delivery by management strategies of Initech.

• Journal of Korea Technology Innovation Society
• /
• v.17 no.3
• /
• pp.563-583
• /
• 2014

We classified collaboration types of Government-supported Research Institutes (GRIs) in Korea to make a creation knowledge with the openness and the diversity. The openness is described to collaboration dependence and leading intensity, and the diversity is expressed to collaboration diversity and collaboration concentration. We suggest four taxonomy models explained in terms of the openness and the diversity with country level and institute level. This study uses 39,507 papers in SCOUPS DB that include author(s) affiliated to 26 GRIs. It concludes that many GRIs is classified to the type of multilateral collaboration follower in institute level and to the type of global network player in country level from the perspective of openness. In the aspect of diversity, many GRIs is concentrated to the collaboration type of picky eater or monophagous in institute level and to the multinatioal asymmetry type or non-multinational asymmetry type in country level. It is necessary for GRIs to lead collaboration and to transfer inhouse R&D institutes with high performance to be competitive institutes which make high quality knowledge.

• Journal of Intelligence and Information Systems
• /
• v.26 no.3
• /
• pp.127-147
• /
• 2020

The world is suffering from numerous human and economic losses due to the novel coronavirus infection (COVID-19). The Korean government established a strategy to overcome the national infectious disease crisis through research and development. It is difficult to find distinctive features and changes in a specific R&D field when using the existing technical classification or science and technology standard classification. Recently, a few studies have been conducted to establish a classification system to provide information about the investment research areas of infectious diseases in Korea through a comparative analysis of Korea government-funded research projects. However, these studies did not provide the necessary information for establishing cooperative research strategies among countries in the infectious diseases, which is required as an execution plan to achieve the goals of national health security and fostering new growth industries. Therefore, it is inevitable to study information services based on the classification system and classification model for establishing a national collaborative R&D strategy. Seven classification - Diagnosis_biomarker, Drug_discovery, Epidemiology, Evaluation_validation, Mechanism_signaling pathway, Prediction, and Vaccine_therapeutic antibody - systems were derived through reviewing infectious diseases-related national-funded research projects of South Korea. A classification system model was trained by combining Scopus data with a bidirectional RNN model. The classification performance of the final model secured robustness with an accuracy of over 90%. In order to conduct the empirical study, an infectious disease classification system was applied to the coronavirus-related research and development projects of major countries such as the STAR Metrics (National Institutes of Health) and NSF (National Science Foundation) of the United States(US), the CORDIS (Community Research & Development Information Service)of the European Union(EU), and the KAKEN (Database of Grants-in-Aid for Scientific Research) of Japan. It can be seen that the research and development trends of infectious diseases (coronavirus) in major countries are mostly concentrated in the prediction that deals with predicting success for clinical trials at the new drug development stage or predicting toxicity that causes side effects. The intriguing result is that for all of these nations, the portion of national investment in the vaccine_therapeutic antibody, which is recognized as an area of research and development aimed at the development of vaccines and treatments, was also very small (5.1%). It indirectly explained the reason of the poor development of vaccines and treatments. Based on the result of examining the investment status of coronavirus-related research projects through comparative analysis by country, it was found that the US and Japan are relatively evenly investing in all infectious diseases-related research areas, while Europe has relatively large investments in specific research areas such as diagnosis_biomarker. Moreover, the information on major coronavirus-related research organizations in major countries was provided by the classification system, thereby allowing establishing an international collaborative R&D projects.

• Journal of Information Management
• /
• v.42 no.3
• /
• pp.1-26
• /
• 2011

The domain of LED is analyzed for describing the current status of Korea's R&D in the domain comparing with those of others quantitatively. Fourteen sub-domains of LED manufacturing technology are selected and the time span for analysis is ten-year: 2001-2010. Bibiliometric analysis is performed by the unit of publication, core researcher, institution and country. Strategical diagram is also produced with devised two indicators: NGI and NPI. As a result, Korea is competitive in the area of Chip Scale Package, but R&D supports in another promising areas, such as large-caliber sapphire wafer, are necessary. It is also revealed that research activities are expanded dominantly in academia, but practical technologies are developed in industrial circle. It is suggested that to support core corporate and to encourage industrial-academic collaboration is essential for systematical technology development and high achievement in prominent areas.

• Journal of Science Education
• /
• v.33 no.2
• /
• pp.336-345
• /
• 2009

The purpose of this study is to analysis ERF components patterns of causal questions generated during the observation of biological phenomenon. First, the system that shows pictures causing causal questions based on biological phenomenon (evoked picture system) was developed in a way of cognitive psychology. The ERF patterns of causal questions based on time-series brain processing was observed using MEG. The evoked picture system was developed by R&D method consisting of scientific education experts and researchers. Tasks were classified into animal (A), microbe (M), and plant (P) tasks according to biological species and into interaction (I), all (A), and part (P) based on the interaction between different species. According to the collaboration with MEG team in the hospital of Seoul National University, the paradigm of MEG task was developed. MEG data about the generation of scientific questions in 5 female graduate student were collected. For examining the unique characteristic of causal question, MEG ERF components were analyzed. As a result, total 100 pictures were produced by evoked picture and 4 ERF components, M1(100~130ms), M2(220~280ms), M3(320~390ms), M4(460~520ms). The present study could guide personalized teaching-learning method through the application and development of scientific question learning program.