• Journal of Digital Convergence
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• v.12 no.5
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• pp.171-180
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• 2014

This study is about effects of government R&D subsidies program participation factor for SMEs R&D performances. Currently, Government R&D subsidies program has been operating in various forms, and each company subsidies, facilities, equipment, personnel and training have been supported. Each of the companies is also involved with various factor of support to participate in the subsides program. Therefore, This study verifies the hypotheses that after government R&D subsidies program of project implementation, various participation factor of companies have an effect positive impact on business management skills of administrative performance. Also, This study verifies the hypothesis of an influence on the R&D investment and the technological capability of technical performance. Through such a analysis results will help to carry out guide for strategic R&D performance management of government R&D subsidies program participation companies.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2011.06a
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• pp.345-362
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• 2011

국가 성장동력의 밑거름이 되는 R&D의 중요성이 높아짐에 따라 정부의 R&D 투자는 해마다 큰 폭으로 증가하고 있다. 정부 R&D 투자가 급증함에 따라 동시에 R&D의 효율성에 대한 문제가 제기되어 그 동안 R&D 효율성을 향상시키기 위한 많은 연구가 이루어졌다. 하지만 R&D 전주기 Plan-Do-See 관점에서 살펴보면 대부분의 연구가 기획(Plan)과 성과확산 및 사업화(See)의 문제해결을 통한 생산성 향상 전략 마련에 국한되어 온 것이 사실이다. 국가연구개발사업은 그 사업의 목표, 추진방법, 추진주체, 연구성과, 사업규모, 사업기간 등 다양한 특성에 따라 성공적인 사업운영을 위해 차별화된 관리 지원 시스템(Do)이 필요함에도 불구하고, R&D 효율성을 향상시키기 위한 R&D 지원시스템 관련 논의는 활발하게 이루어지지 않고 있다. 본 연구에서는 다양한 특성을 보유한 국가연구개발사업의 효율성을 향상시키기 위해 국가연구개발사업을 연구기간과 연구비에 따라 크게 4가지로 분류하여 각각의 R&D 특성을 고려한 R&D 지원시스템을 도출하고 그 발전방향을 제시하고자 한다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.751-751
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• 2017

에너지 기술 R&D사업은 그 성과에도 불구하고 수요에 기반한 기획 측면이나 사업화에 있어 성과가 저조한 것으로 평가받아 왔으며, 특히 사업화 추진에 있어 시급한 과제로 '기술 수용성'(Acceptance) 향상이라는 지적이 제기되곤 하였다. 이에 산업통상자원부는 사용자가 R&D 기획, 개발, 검증 과정에 참여하여 사업의 이해도를 높이고 수용성을 제고하는 '에너지기술 수용성 제고 및 사업화 촉진사업'을 2016년부터 추진하고 있다. 그런데, 사회문제해결형 R&D라 부를 수 있는 본 사업은 산업통상자원부의 기존 에너지기술 R&D와는 성격이 다른 새로운 R&D의 모습을 갖는다고 할 수 있으며 그에 따라 그 시행과정에서 사용자, 이해당사자들이 참여하는 등 연구자들은 예전과는 다른 여러 가지 새로운 방법론의 수행을 요구 받고 있다. 본 연구에서는 해당 사업의 기획 및 실행에 참여한 경험을 토대로 성과멘토링, 성과공유 워크숍, 성과지표의 개발, 운영관리방안 등을 통해 '에너지기술 수용성 제고 및 사업화 촉진사업'의 특성 및 향후 개선방안을 논의하고 사회문제해결형 R&D사업에의 발전방안을 제안하고자 한다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.755-755
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• 2017

공공분야에서의 지식생산이라는 국가 R&D사업의 본연의 임무에 사회문제해결이라는 보다 구체적인 요구가 커지고 있다. 취약계층, 노인, 장애인과 같은 사회적 약자들의 삶의 질 개선에 더불어 조류 인플루엔자, 미세먼지오염 등 국민생활에 영향을 주는 사회문제의 해결에 과학기술지식이 기여하라는 사회적 요청이 커지고 있다. 그동안 산업 지원과 학문 발전을 중심으로 발전해오던 국가R&D시스템이 이제는 공공분야에서의 지식생산시스템 격상이라는 과제를 안게 되었다. 정부는 2012년 '신과학기술 프로그램 추진전략(안)'을 통해서 이러한 요구를 수용하기 시작했으며 2014년에 다(多)부처 기획을 통해 11개 사업 분야를 선정하고 사회문제해결을 위한 R&D를 다(多)부처 사업으로서 2015년부터 시작하였다. 또한 과학기술정보통신부(구 미래부)는 단일 부처사업으로서 '사회문제해결형 사업' 을 2104년부터 추진하였다. 논문이나 특허보다는 현장문제의 해결책, 솔루션 생산을 목표로 제시하였으며 현장의 사용자나 시민이 연구개발의 전 과정에 참여하는 리빙랩이라는 새로운 방법론의 적용을 사회문제해결형 R&D사업의 성격으로 제안하였다. 본 연구는 사회문제해결형 R&D라는 이 새로운 시도가 국가R&D 시스템 안에서 어떻게 시행되었는지 NTIS data를 통해서 분석해보고자 한다. 먼저 다부처 기획으로 선정되어 추진된 과제들의 특성, 즉 연구적용분야, 연구 단계 등을 분석하고 단일부처 사업으로 수행된 '사회문제해결형 사업' 및 유사 단일부처 사업 과제들의 특성을 알아본다. 연구수행주체, 연구방법론 등 사회문제해결형 R&D 기획에서 제시한 새로운 방법들의 수행 여부를 알아보고 이를 통해 공공분야 국가R&D 시스템의 발전 및 사회문제해결형 R&D 사업의 향후 발전 방안을 제안한다.

• Journal of Korea Technology Innovation Society
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• v.14 no.3
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• pp.552-577
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• 2011

We have analyzed technology transfer and commercialization process and factors affecting the outcomes of technology commercialization of public research institutes in Korea. A technology commercialization process model was presented as an input, intermediate outcomes/capabilities, output (outcome) structure using the structural equation model. Input variables include R&D input, technology commercialization strategy/support, collaboration, social capital. The model also includes R&D capabilities and technology commercialization performance as intermediate variable and output variable respectively. The technology commercialization performance was measured as the number of technology transfer and spin-off. We conducted survey and 88 institutes responded. Empirical results show that R&D input influence R&D capabilities and R&D capabilities influence the output of technology transfer and commercialization. Collaboration activities and social capital also appear to have a positive effect on the output. However, the effect of strategy and support on the output appear to be not statistically significant.

• Environmental and Resource Economics Review
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• v.13 no.3
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• pp.469-497
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• 2004

Environmental R&D management system has been analyzed with LCA method. Based on the analysis, we found the following four elements were essential for improving effciency of environmental R&D management system: establishment of an information clearinghouse that collects and distributes information on the status of the domestically owned environmental technology, Periodic survey of the environmental technology demand to give guidance in selecting the environmental R&D project that are to be subsidized, dissemination of information on the technology transfer and commercialization assistance program, and increased funding as well as the expansion of project categories eligible for R&D subsidy.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.9-19
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• 2016

Since continuous expand in governmental R&D investments and growth number of research institutions, model of multi-agency program has been planned and pushed ahead to settle the inefficiency of investment by the scattered and competitive R&D Programs. However, it was often pointed out that new model's effect has been fall because the institutional inertia of cooperative system between agencies. In this study, we analyze the current state of multi-agency program and suggest the optimal R&D governance model to improve a better direction. Afterward, several problems were turned up and that allocation and execution of the R&D budget separately, less coordination and cooperation among agencies, and absence of typical evaluation system of multi-agency program. Therefore, we suggest some of improvements by analyzing each steps.

• Korean small business review
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• v.43 no.3
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• pp.21-42
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• 2021

Since R&D (Research and Development) of small companies is becoming more and more important, and government R&D grants are still increasing. This study aims to investigate the factors influencing R&D performance of small companies and necessary capabilities of them. Based on empirical study of 3,636 small companies which participated and completed government R&D grant project, technology innovation capability and technology commercializing capability of small companies are positively related with organizational competences, with moderating effects of entrepreneurship. In addition, their R&D capabilities are not significantly related with R&D commercializing performance directly, but mediated with organizational competences. The results of study suggest implications of measuring the R&D performance of small companies and government support policy with the importance of organizational competences as an intermediate variable of R&D performances.

• Korean Journal of Construction Engineering and Management
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• v.14 no.2
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• pp.131-140
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• 2013

Econometric forecast models based on past time-series data have been applied to a wide variety of applications due to their advantages in short-term point estimating. These models are particularly used in predicting the impact of governmental research and development (R&D) programs because program managers should assert their feasibility due to R&D program's huge amount of budget. The construction governmental R&D programs, however, separately make an investment by dividing total budget into five sub-business area. It make R&D program managers difficult to understand how R&D programs affect the whole system including economy because they are restricted with regard to many dependent and dynamic variables. In this regard, system dynamics (SD) model provides an analytic solution for complex, nonlinear, and dynamic systems such as the impacts of R&D programs by focusing on interactions among variables and understanding their structures. This research, therefore, developed SD model to capture the different impacts of five construction R&D sub-business by considering different characteristics of sub-business area. To overcome the SD's disadvantages in point estimating, this research also proposed the method for constructing quantitative forecasting model using qualitative data. Understanding the different characteristics of each construction R&D sub-business can support R&D program managers to demonstrate their feasibility of capital investment.

• Spatial Information Research
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• v.20 no.2
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• pp.81-92
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• 2012

Recently, it is very important to create economic value as well as develop core algorithms and technologies in the field of R&D. Various R&D projects make an effort to do the technology commercialization of their results and, as part of efforts, many studies on business model(BM) are conducted to create economic benefits in using the developed technology. However, it is difficult to use the general business model methodologies, which are usually utilized for companies, to the government's research due to different processes and characteristics between them. And for the practical application of business models, it needs to systematize conceptual business models in technical perspective through technical architecture analysis. In this study, a business model development process and a technical architecture analysis for national R&D project is developed for the technology commercialization. In addition, the process is applied to Korean Land Spatialization Program (KLSP) organized by Ministry of Land, Transport and Maritime Affairs to verify the feasibility of its practical application.