• KOREAN POULTRY JOURNAL
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• v.56 no.3
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• pp.140-143
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• 2024

• Economic and Environmental Geology
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• v.45 no.5
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• pp.579-587
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• 2012

The purpose of this study is to emphasize the necessity of extention of a government R&D planning scope. Presently, government R&D planning is focused on the selecting a R&D project. There is no R&D strategy for R&D conducting such as the composition of R&D team, collaboration and knowledge flow. Ordinarily these strategies are established by research director. This study analyzed the determinants of excellent R&D performance and proposed R&D strategy for R&D conducting using the patent bibliograpy information in energy resources production technology field. On the other hand, this study introduced the concept of technology lifecycle and showed that R&D strategy should be differentiated by technology lifecycle.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2001.05a
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• pp.547-553
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• 2001

A ideal Methodology is a technology that efficiently utilize outputs of research and development (R&D). "Liquid Metal Reactor Design. Technology Development" is under development in Korea Atomic Energy Research Institute (KAERI) as on of the Mid-Term and Long-Term Nuclear R&D by MOST. To upgrade the productivity of the R&D during long period, system type project have been accomplished within plant period through schedule management by phase, outputs auditing, sharing and constructing database.

• Journal of Technology Innovation
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• v.11 no.2
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• pp.151-173
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• 2003

This paper analyses the efficiency and productivity of R&D system across time (1991${\sim}$2000) and 16 OECD countries using multi-output and multi-input non-parametric frontier methods such as DEA (data envelopement analysis) and Malmquist productivity indexes. Malmquist productivity indexes are decomposed into two components measures, namely technical change and efficiency change. To calculate R&D efficiency and productivity, we used R&D stock and the number or researchers as R&D input proxies and the number of adjusted SCI papers and U.S. patent applications as R&D output proxies. Empirical result shows that Switzerland, Canada, U.S., Australia's R&D efficiencies are the highest and Korea's R&D productivity growth is the highest in the sample for the period. Technical efficiency growth was a more important source of productivity growth than technological innovation.

• International Commerce and Information Review
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• v.15 no.3
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• pp.225-243
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• 2013

This paper analyses the effects of innovation and openness on productivity in Korean firms using company innovation index which issued by STEPI in 2012. The data contains 296 companies which are registered in Korean stock market. I observed that the effect of past R&D investments on innovation is significant than current R&D investment. The regression results show that company innovation index has significantly positive effects on the firm's revenue. The firm size and the openness also have an important effect on the firm's revenue.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2016.05a
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• pp.316-321
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• 2016

우리나라는 R&D투자 정책을 적극적으로 추진한 결과 과학기술 발전을 통한 경제성장을 이룩하여 왔고, 세계 선진 각국에서도 과학기술을 중요한 국가 아젠다로 삼으면서 신기술 개발이나 사회문제 해결을 위한 해결책으로 과학기술 정책을 적극적으로 펼치면서 R&D에 대한 적극적인 투자를 시행하고 있다. 우리나라의 경우도 2014년 기준으로 정부의 R&D투자 예산은 17조 7천억원의 거대한 규모로 확대되고 있으며, 각각의 연구주체들에 의해 수행되어진 결과로 나오는 다양한 종류의 연구성과에 대한 성과관리의 중요성은 점점 더해가고 있는 실정이다. 한편, 연구개발 투자에 대한 성과의 효율성이라는 측면에 있어서 염려의 목소리도 만만치 않은 실정이다. 이는 연구성과를 창출하기 위한 프로세스, 즉 연구기획, 선정, 수행관리, 결과평가, 사후관리 및 사업화 등의 과정들을 철저하고 효율적으로 관리하여야 한다는 측면에서 접근할 수도 있겠으나, 중소기업을 지원하는 정부의 R&D 지원형태에 있어서는 정부의 지원방식에 따라, 즉 출연(국가 등이 반대급부 없이 예산이나 기금에서 지원하는 방식)지원이나 융자지원(일정한 금리와 상환기간을 정해놓고 지원하는 방식)에 따라 도출되는 성과의 차이가 있을 수 있다는 점에 착안하여 그 두가지 지원방식에 따른 성과에 있어서의 차이점을 비교해 보고, 그 결과에 따라 정부가 중소기업을 대상으로 지원하는 방식에 대한 방향성을 제시해 보고자 한다.

• Journal of Korea Technology Innovation Society
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• v.12 no.4
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• pp.740-767
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• 2009

This paper examined the effect of organizational capability on performance in Korean and the United States manufacturing R&D organizations. We used self-reported data from 122 Korean and 79 U.S. firms to address three research questions. Structural equation modeling techniques validated the adapted instrument used in the study, and revealed that R&D organizational capability accounts for R&D performance. The degree of explanation power for the performance was significantly higher in Korean than the U.S. R&D organizations. Several implications of the findings were discussed.

• Journal of Korea Technology Innovation Society
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• v.11 no.1
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• pp.72-90
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• 2008

What has been the contribution of industrial innovation to economic growth? Typically, the issue has been approached with growth-accounting methods augmented to include a "stock of knowledge". An independent estimate of the rate of return to R&D is found in order to impute patents granted to the accumulation of knowledge. Griliches(1973) then uses a regression approach to assess the effect of an R&D variable on the computed TFP growth rate. The regression coefficient on the R&D variable would provide an estimate of the social rate of return to R&D. The related studies tend to show high social rates of return to R&D, typically in a range of 20 to 40 % per year. We need to provide multiple equation dynamic system for productivity and innovation in Korean economy in state space form. A wide range of time series models, including the classical linear regression model, can be written and estimated as special cases of a state space specification. State space models have been applied in the econometrics literature to model unobserved variables like productivity. Estimation produces the following results. Considering the goodness of fit, we can see that the evidence is strongly in favor of the range $0.120{\sim}0.135$ for the elasticity of TFP to R&D stock in the period between 1970's and the early 2000's.

• Journal of Service Research and Studies
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• v.13 no.1
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• pp.144-158
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• 2023

R&D (Research and Development) investment by companies and the government continues to increase, and the total R&D expenditure of public and private sectors in 2021 reached KRW 102 trillion, and the ratio of R&D investment to GDP was 4.96%. It ranks second in the world after Israel. This study analyzes the current status of the domestic R&D service industry and the research and development (R&D) innovation ecosystem based on the business activity survey data of the National Statistical Office in terms of improving R&D productivity of domestic R&D investment that has exceeded 100 trillion won, and analyzes the global R&D service industry and analyzes the global research service industry and R&D service Industry support government policy As a result of the analysis, in the domestic R&D ecosystem, the R&D outsourcing demand of service companies is rapidly increasing, compared to the stagnant R&D outsourcing demand of traditional manufacturing companies. In order to respond to these changing demands for technological innovation, this study suggests balanced support for R&D outsourcing for manufacturing and service companies, expansion of domestic R&D outsourcing, establishment of R&D outsourcing strategies specialized for the service industry, establishment of an open R&D ecosystem, and innovation in connection with materials/parts/equipment strategies.

• Journal of Korea Technology Innovation Society
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• v.13 no.2
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• pp.231-251
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• 2010

The numbers of SCI paper or patent in science and technology are expected to be related with the number of researcher and knowledge stock (R&D stock, paper stock, patent stock). The results of the regression model showed that severe multicollinearity existed and errors were made in the estimation and testing of regression coefficients. To solve the problem of multicollinearity and estimate the effect of the independent variable properly, principal component regression model were applied for three cases with S&T knowledge production. The estimated principal component regression function was transformed into original independent variables to interpret properly its effect. The analysis indicated that the principal component regression model was useful to estimate the effect of the highly correlate production factors and showed that the number of researcher, R&D stock, paper or patent stock had all positive effect on the production of paper or patent.