• 산업경영시스템학회지
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• 제41권4호
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• pp.101-110
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• 2018

This study aims to objectively measure the efficiency of nanotechnology R&D programs by systematically evaluating the inputs and outputs of nanotechnology R&D activities and to find implications for improving the efficiency of nanotechnology R&D programs. Data on input factors such as R&D investment, R&D manpower, R&D period, and output factors such as paper, patent, and commercialization for R&D projects which started from 2008 or afterwards and ended by 2011 are gathered through National Science and Technology Knowledge Information Service, which are used for efficiency evaluation. In this study, we analyzed R&D efficiency in detailed technology units in depth. The process taken in this study is as follows. First, the basic statistics of input and output factors to compare and analyze R&D investment, R&D manpower, R&D period, paper, patent, and commercialization status by technology unit are analyzed. Next, DEA models are utilized to derive the overall efficiency, pure technology efficiency, and scale efficiency by conducting the efficiency evaluation for each technology unit, from which implications for strategic budget allocation are derived. In addition, partial efficiency evaluation is conducted to identify advantages and disadvantages of each technology unit. In turn, cluster analysis is performed to identify similar technology units, from which implications for efficiency improvement are derived.

• 신재생에너지
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• 제4권1호
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• pp.25-30
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• 2008

The R&D budget of energy technology development has increased in the sector of korean energy technology development continuously. In addition to that, KIER, the government invested research institute and unique energy technology R&D research institute, is trying to plan for a big-sized energy R&D program for the well focused R&D and excellent research outcomes. In the phase of R&D process, the planning is one of the most important sectors because it drives the direction of R&D. In this study, we suggest the assessment criteria to select a strategic energy technology R&D programs by the analytic hierarchy process, which is one of multi-criteria decision making method (MCDM)We structure 2 tiers of hierarchy for assessing a big-sized R&D program and also establish 6 criteria in the level 1, which are energy environment, economic spin-off, technical spin-off, marketability, KIER mission, and cost. We allocate the relative weights of criteria by checking the values of consistency ratio as making pairwise comparisons. The result of this research will provide the decision makers as they select a right well focused R&D program.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2007년도 추계학술대회 논문집
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• pp.690-693
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• 2007

The R&D budget of energy technology development has increased in the sector of Korean energy technology development continuously. In addition to that, KIER, the government invested research institute and unique energy technology R&D research institute, is trying to plan for a big-sized energy R&D program for the well focused R&D and excellent research outcomes. In the phase of R&D process, the planning is one of the most important sectors because it drives the direction of R&D. In this study, we suggest the assessment criteria to select a strategic energy technology R&D programs by the analytic hierarchy process, which is one of multi-criteria decision making method (MCDM). We structure 2 tiers of hierarchy for assessing a big-sized R&D program and also establish 6 criteria in the level 1, which are energy environment, economic spin-off, technical spin-off, marketability, KIER mission, and cost. We allocate the relative weights of criteria by checking the values of consistency ratio as making pairwise comparisons. The result of this research will provide the decision makers as they select a right well focused R&D program.

• 기술혁신연구
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• 제7권1호
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• pp.1-13
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• 1999

In this article, we first present an inductive taxonomy of national R&D structures in terms of relative R&D flows among prime actors. The R&D structure of Korea, along with the Japanese one, turns out to be an ill-balanced one characterized by the dominant role of private sector, vis-a-vis the minimal share of public R&D. In nature, private R&D is sensitive to business cycle and the vulnerability of the Korean structure has been invisible under prosperity but now is disclosed under depression. This problem is nothing new and indeed has long been recognized by the Korean government but the prescription seemed almost impossible. Ironically, the current economic crisis of Korea renders an unexpected opportunity for structural reform. As private firms are cutting down R&D investment, the relative share of public sector becomes significant. A simulation predicts that balanced systems will be achieved in some years if public R&D budget is kept up. Although the contraction of private R&D is by no means desirable, it is the right time for the Korean government to expand public R&D. Public R&D should be considered not only a remedy for market-failure but also a shock-absorber against cyclic instability. This is why the balance between public R&D and private R&D is emphasized.

• 한국산학기술학회논문지
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• 제21권8호
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• pp.170-177
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• 2020

2020년 정부 R&D 예산은 총 24.2조원으로 매년 지속 상승하여 왔으며, 국내총생산(GDP) 대비 연구개발비 비중은 OECD 국가 중 최상위권이다. 하지만 국가과학기술 혁신 성과에서는 OECD 국가에서 중하위권을 나타내고 있다. 이 연구는 정부 R&D의 핵심주체인 과학기술분야 정부출연연구기관의 인력·예산 투입이 연구실적으로 연계되는지에 대한 분석을 통해 성과중심의 R&D 기관 운영방향을 제시하는 데에 목적이 있다. 이를 위해 과학기술분야 정부출연연구 기관의 주요 연구실적(SCI논문, 특허, 기술료)에 영향을 미치는 요인들로서, 연구예산, 인력투입을 독립변수로 설정하여 다중회귀분석을 수행하였다. 연구예산은 정부출연금만 SCI 논문실적에 긍정적 영향을 미치고 있었고, 정부수탁과 민간수탁 예산의 증가는 오히려 특허와 기술료 수입액에 부정적 영향을 나타내고 있었다. 인력은 정규직이 비정규직에 비하여 모든 연구실적 증가에 미치는 긍정적 영향이 3~6배 이상 크게 나타났다. 통제변수로 설정한 연구유형에서는 기초기술분야 기관이 SCI 논문실적에서, 산업기술분야 기관이 특허와 기술료 수입액에서 더 많은 실적을 도출하고 있었고, 대덕연구단지 소재 여부는 연구실적과 큰 관련이 없는 것으로 나타났다. 이 연구를 통해, 과학기술분야 정부출연연구기관의 성과중심 기관운영을 위해, 연구실적과 연계한 예산배분, 정규직 중심의 인력 지속확대, 연구유형에 따른 기관평가 실적지표 설정 등의 정책적 시사점이 도출되었다.

• 대한산업공학회지
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• 제32권1호
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• pp.18-28
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• 2006

Some issues which should be considered in an R&D project selection problem are as follows: First, quantitative analysis on the efficiencies of R&D projects is required to guarantee objective validity in the evaluation of the projects. For this reason, the methodology for selecting R&D projects should be based on mathematical models that perform quantitative analysis. Second, in general there are ordinal factors like Likert-scale in the data for evaluating R&D projects. Previous researches, however, couldn't suggest explicit methods incorporating these ordinal factors into models. Third, for the R&D project selection problems with limited resources like budget, it is necessary to decide the perfect ranking of the all projects. This paper develops a mathematical model that can be applicable to the problems of selecting R&D projects with the previous features. In this paper, we improve the original DEA model for evaluating efficiency to incorporate ordinal factors and suggest a new model which can decide the perfect ranking of all projects by merging the improved DEA model and AHP method. Furthermore a web-based R&D project selection system using the DEA/AHP model suggested in this paper is developed and illustrated.

• 무역학회지
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• 제45권1호
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• pp.47-64
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• 2020

For the past few years, the Korean government has been consistently expanding its national research & development budget to accelerate economic growth through technology innovation and the enhancement of international competitiveness in global markets. The objective of this paper is to define the concept and analyze the current status of national R&D programs by measuring R&D efficiencies. We determine R&D efficiency by reflecting inputs and outcomes of the five main agricultural R&D programs between 2010 to 2015, and by categorizing and regrouping figures that may affect R&D performance. Among 1,128 targeted projects, 832 projects with patents and thesis were selected for analysis in terms of measuring technology efficiency, pure technology efficiency, and efficiency of scale. Also, the Kruskal-Wallis test was also utilized as well. As a result of empirical analysis, figures that affected the efficiency level of national R&D programs included differences in research resources, research management levels and skills, and research field. This study can be utilized as a reference for re-establishing national agricultural R&D policies, such as enhancement of national technology competitiveness in the global market environment, improving and adapting to new agricultural conditions, market expansion, national agricultural R&D efficiency, aging rural population, agricultural management cost increase, and climate change mitigation.

• 한국시스템다이내믹스연구
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• 제15권2호
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• pp.27-50
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• 2014

Korea government established the energy technology development plan (2011-2020) and declared to be a leader of the green energy technologies. The plan aims for 10% market share in the green energy industry, 12% energy efficiency improvement, and 15% greenhouse gas reduction. In order to achieve these goals, the government has tried to calculate the whole scale of national energy R&D investment, annual budget and specific expenditures for new technologies by computer simulation. The simulation modules include the R&D investment model, GDP model, energy consumption and $CO_2$ emission model by System Dynamics. Based on these simulation modules, I tested various scenarios for effectiveness of energy R&D investments until 2020. The results show that Korea should increase national energy R&D investment to 2.3 billion U.S. dollars, and switch the investment from electricity and nuclear power to the renewable energy.

• 한국산학기술학회논문지
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• 제19권10호
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• pp.101-107
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• 2018

최근 우리나라의 방위산업은 고도의 발전을 해왔고 국방비 중에서 국방 R&D 예산도 점차적으로 증가하고 있다. 하지만 방위산업기술에 대한 객관적인 분석 없이는 효과적인 국방 R&D 활동이 제한적이고 자칫 국방예산이 비효율적으로 사용될 수 있다. 따라서 본 논문은 현재 주로 실시하고 있는 전문가들의 의견을 반영한 정성적인 방위산업기술의 분석에 더해서 정량적인 방법으로 방위산업기술을 객관적으로 분석함으로써 국방예산의 효율적 사용과 더 나아가서는 세계시장에서의 경쟁 우위를 달성하고자 하였다. 더구나 4차 산업혁명의 키워드 중의 하나인 빅데이터 분석 방법을 국방산업기술에 적용해서 객관적이고 체계적으로 국방산업기술의 특성과 공백기술을 파악하기 위한 특허분석 방법을 제안한다. 제안된 방법은 여러 국방산업기술 중에서 화력분야의 기술에 적용하여 사례분석을 수행하였다. 그 과정은 우선 방위산업진흥원의 방위 산업기업의 분류에서 화력에 관련된 10개 국내 기업의 특허를 Kipris를 통해서 수집하고 이 중에서 IPC 코드를 활용하기 위해서 이를 전처리하여 데이터 매트릭스를 구축하였다. 그리고 R 프로그램을 활용하여 데이터마이닝 기법 중에서 각 항목 간 연관성을 파악할 수 있는 연관규칙마이닝을 수행하였다. 이를 통해서 화력분야의 각 기술에 대한 지지도, 신뢰도, 향상도 값을 도출하고 이를 해석하여 결론을 제시하였다. 따라서 본 논문은 막대한 국방예산의 효율적인 사용과 국방산업기술의 경쟁력 제고에 도움을 줄 수 있을 것이라고 판단된다.

• 대한안전경영과학회지
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• 제12권3호
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• pp.321-326
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• 2010

Government evaluate annually a performance of government's R&D(Research & Development) and decide a budget and progress. So, a performance target setting of R&D is very important at the planning, The basic performance target setting of railroad R&D is clear. However, a scientific and technological performance target setting of railroad R&D is very difficult and a reasonable level of it can not be judged. Therefore, this study will suggest a solution for a scientific and technological performance target setting of railroad R&D through regression analysis of successfully finished railroad R&D, after judging a reasonability of a scientific and technological performance through comparing railroad R&D with the other R&D.