• Proceedings of the Technology Innovation Conference
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• 2003.06a
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• pp.26-40
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• 2003

Korean enterprises have increased their R&D efforts to a large scale since the 1990s, especially after IMF jurisdiction period. The number of research institutes and R&D resources increased sharply. In line with the increase of R&D efforts, this paper investigates how well Korean firms manage R&D capabilities. According to our analysis, Korean enterprises adopt about the 2.3th to 2.7th generation of R&D management. In spite of insufficient R&D resources, Korean SMEs adopt a similar level of R&D management practice to that of big firms. However, some big enterprises have already adopted the 4th generation of R&D management. Also, many SMEs adopt a much lower level of R&D management than average level. In this sense, it is necessary to make an in-depth study on firms'R&D management capabilities by utilizing various factors of R&D generation model.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.49 no.spc1
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• pp.23-30
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• 2004

• Resources Recycling
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• v.16 no.1 s.75
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• pp.11-14
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• 2007

• Economic and Environmental Geology
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• v.52 no.3
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• pp.243-250
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• 2019

The purpose of this study is to pro-actively respond to changes in government R&D policy and start to supplement the limitations of previous KIGAM R&D planning process. We looked out through the existing literature for a variety of R&D planning process, and analyzed the R&D planning process characteristics of each institution through the interview. As a result, we can be derived conclusions and implications from three sides, environmental analysis, demand excavation methods, R&D project configuration and selection method. In the case of environmental analysis and the overall need to enhance the skills and mega trend analysis by market trend analysis. And in the demand side, the institute need to establish challenging and specific R&D goals. In addition, in case of configuration and selection of R&D projects we derived several implications, such as convergence, SME support, resource analysis, selection of long-term project.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.6
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• pp.2489-2499
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• 2011

As R&D cooperation activities with various partners are becoming huge in scale and scope, to achieve successful R&D performance, we need to systematically divide by its characteristics and to stratagemically carry out R&D cooperation activities. In this paper we propose R&D cooperation system between the university and the R&D institute in the geoscience field. The cooperation system can include activities of joint R&D program execution, R&D researcher exchange, R&D infrastructure use, technology commercialization and business exchange. Its system seems to positively affect on R&D performance and when considering the level of innovation as a moderating variable, in the situation of high innovation environment its system is able to positively affect on the R&D performance. For different effects of R&D cooperation activities on individual cooperation performance we can choose proper cooperation activities for R&D cooperation purposes.

• Journal of Digital Convergence
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• v.8 no.2
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• pp.29-42
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• 2010

To improve the performance of R&D investments, government has taken great efforts for advancing the structure and process in R&D systems. However, due to the drastic internal/external changes in the technological environment and the steady increase of investment scale, the necessity for a innovative approach which accomplishes returns to scale through the utilization of various external resources is emerging. In this regard, open innovation approach can minimize the possibility of government failures by strengthening the absorptive capacity of external resources and enhancing the cooperation and participation of diverse innovative participants within the R&D system. This paper evaluates the previous researches and government policies concerning the performances of government R&D investments, and presents the connectivity between open innovation and its possible contribution to the improvement of R&D investment performances.

• Journal of Technology Innovation
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• v.2 no.1
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• pp.256-276
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• 1994

This paper aims at identifying the desirable R'||'&'||'D life cycle related to government-industry cooperative R'||'&'||'D. It is based on a case study associated with the relationship between cooperation and cooperation in information in information communications sector. It presents three types of R'||'&'||'D life cycle to achieve a technological enhancement as high as possible with limited resources. The first case of R'||'&'||'D project is of "advanced type". In the generic technology phase, government takes a leading role jointly in R'||'&'||'D activities, but, in after the applied research phase, the domestic firms take the lead. This kind of cooperation can be made when competition between domestic firms is highly intense, and the technological knowledges of participating firms are at internationally competitive levels. The second type of "less-advanced type"; the firms of a country(more often a small country) lag behind in technology level, and the penetration of foreign firms in the market is limited. In this case, government takes full charge of R'||'&'||'D activities up to the applied research phase, due to the low technology level and insufficient financial resources of private firms. Lastly, this paper presents and R'||'&'||'D life cycle of "strategic" type. This applies to the case in which domestic firm with less financial resources make an attempt to increase their technological knowledges while the government, in turn, contributes to strengthen the international competitiveness of domestic industry.

• 축산식품과학과 산업
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• v.12 no.2
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• pp.63-70
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• 2023

• Proceedings of the Plant Resources Society of Korea Conference
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• 2007.11a
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• pp.335.1-335.1
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• 2007

• Journal of information and communication convergence engineering
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• v.9 no.5
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• pp.491-499
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• 2011

In this paper, we offer a new strategic portfolio model for national IT R&D project selection in Korea. A risk and return (R-R) portfolio model was developed using an objectively quantified index on the two axes of risk and return, in order to select a strategic project and allocate resources in compliance with a national IT R&D strategy. We strategize using the R-R portfolio model to solve the non-strategy and subjectivity problems of the existing national R&D project selection model. We also use the quantified evaluation index of the IT technology road map (TRM) and the technical level reports (TLR) for the subjectivity of project selection, and try to discover the weights using the analytic hierarchy process (AHP). In addition, we intend to maximize the chance for a successful national IT R&D project, by selecting a strategic portfolio project and balancing the allocation of resources effectively and objectively.