• Journal of Technology Innovation
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• v.19 no.1
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• pp.1-27
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• 2011

This paper aims to measure and analyze R&D productivities and efficiencies of 17 major OECD countries including Korea over the 1984-2008 period by using the Malmquist Productivity Index and Data Envelopment Analysis, classifying R&D performance into an output and outcome aspects. It also searches the Korea's current status and characteristics in each R&D stage to enhance Total Factor Productivity (TFP) compared with other developed countries. Our major findings are the followings: (i) Korea's productivity index of R&D input vis-a-vis R&D output is very high (13.39% annual growth rate) compared with those of major advanced countries, whereas the annual average of efficiency index is very low (0.33), i.e. Korea's technical efficiency index has risen to 0.83 at the last time series started at 0.10 point and come up to the level of major advanced countries. (ii) the Korea's productivity index of R&D output vis-a-vis R&D outcome is very low (14.02% annual reduction rate) compared with those of major advanced countries, whereas the annual average of efficiency index is very high (0.22), i.e. Korea's integrated frontier technical efficiency index has dropped to 0.057 at the last time series started at 1.00 point and coming up to the level of major advanced countries. (iii) The productivity of R&D input vis-a-vis R&D outcome is positively correlated with that of R&D output vis-a-vis R&D outcome and the growth of R&D input factors. In a nutshell, it implicates that the effort to take advantage of R&D outputs, namely establishing the diffusion and commercialization system of technical knowledge to the level of developed countries, should be strengthened over that on the growth of R&D investment and output for enhancing R&D productivity and efficiency in Korea.

• Journal of Internet Computing and Services
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• v.17 no.2
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• pp.39-47
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• 2016

In software R&D artifacts including documents and program code are produced. There are two kinds of software R&D artifacts: Research artifacts and development artifacts. Research artifacts include software R&D planning document, annual report, final report, research note and so on. Software development artifacts include software requirements, software design description, testing plan, test report, and program code. It is important to verify the documents and to test code to check the direction of the R&D. Moreover, we should check relationships as such completeness and consistency between research and development artifacts. The verification and testing help project manager and researchers understand what they do during software projects. Therefore, in this study, we present a process to verify documents and program in software R & D. In the process we check documents produced in software R&D and test program code. We describe the process by using Essence elements including alpha, activity, and competency. We present a case study to show the effectiveness of the process.

• Journal of Korea Technology Innovation Society
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• v.21 no.4
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• pp.1313-1344
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• 2018

This study aims at investigating the effects of Government R&D subsidies. We analyse the effects of inputs and behavioral additionality on the output additionality. We also measure the moderate effects of the experiences of benefiting from government R&D on the relationship between inputs and behavioral additionality and the output additionality. We conducted a structured questionnaire on the companies who have participated in promotion program of the Korea Innovation Cluster. 126 responses were collected and alnalysed using the OLS technique. Empirical results show that the relationship between input/behavioral additionality (management, follow-up, cognitive capacity) and output additionality had positive effect. The moderating effects of experiences of R&D subsidy on the relationship between input additionality and output additionality and the relationship between cognitive additionality and the output additionality appear to be statistically significant.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.133-142
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• 2017

저성장, 실업률이 심화됨에 따라 일자리 중심 정책은 현 정부의 최우선 정책과제로 급부상하였다. 이러한 정책기조로부터 정부는 R&D분야에서도 고용영향평가 제도를 통해 도출된 성과를 R&D 사업의 예산배분 보조지표로 활용하는 방안을 검토하고 있다. 허나, R&D분야는 기술개발에 따른 고용창출효과의 발생 시점을 추적하기 힘들며, 기술개발로 인한 일자리에 대한 부(-)의 영향도 존재하기에 기존의 고용영향평가 방법만으로 R&D분야의 고용창출효과를 산출하는 것은 한계점이 존재한다. 따라서 본 연구에서는 R&D분야에서 고용영향평가에 적용될 수 있는 일자리 유형들을 분류하고, 일자리 유형별 정의 및 R&D 사업의 일자리 유형별 사례를 분석한다. 분석결과는 정부 R&D 사업들의 고용창출효과 산출과정에 활용 시 도움이 될 가능성이 있으며, 현 R&D분야의 고용영향평가 제도에 대한 절차 및 문제점을 분석하는 차원에서 큰 의의가 있다.

• Journal of Technology Innovation
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• v.22 no.1
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• pp.1-22
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• 2014

R&D investment also has a gestation period similar to other investments in economics. The gestation period originates from time lag effect of input and output. Thus it is necessary to consider time lag effects when analyzing the relationship between firms' R&D investment and R&D performance. The main objective of this research is to estimate the length of time lag effect of R&D investment. The Almon distribution lag model was applied to estimate the time lag effect. The firm level panel dataset was established from 2002 to 2009. The net value of R&D investment and the number of patent applications were used to measure R&D input and output, respectively. This method found the estimated time lag to be 1~2 years across all datasets. The same analyses were applied to chemical, metal, electronic, exact science, and machinery industries' data. And we found there were differences among sectors in regard to the time lag effect.

• 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.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.674-679
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• 2006

The public research and development (R&D) funds for construction engineering is one of the key elements for the advancement of construction industry. Korean Ministry of Construction and Transportation is currently planning to produce approximately US$ 500 millions of research funds every year in Korea from year 2007. Along with the prospect for increasing R&D investment, there is of increasing pressures on the development of quantitative methodologies for assessing the performance of construction R&D results. Although there have been some general R&D project evaluation methods, they are not readily used for construction R&D research assessment due to the distinct characteristics of construction R&D. This paper presents a simple methodology that can make quantitative assessments of construction R&D performances. The proposed methodology is expected to assist government officials in objectively evaluating construction R&D performances and identifying the areas that require more R&D investment.

• Informatization Policy
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• v.17 no.1
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• pp.63-77
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• 2010

This paper investigates the impact of the government R&D expenditure on the IT industry in Korea. The analysis of such impact can be used to derive the policy implications for the IT industry. The contribution of government R&D to the IT industry was analyzed based on the input-output table of the year 1990-1995-2000. The results show that the amount of the government R&D expenditure induced the IT industry to book twice greater production than it would have been in the absence of such government R&D expenditure during the period under investigation. It is also shown that job creation was strongly encouraged in the broadcasting equipment, software and computer-related services. During the period under the study, the composition of the workers in the IT hardware industry remained unchanged while the production increased significantly, which confirms the jobless growth in the IT hardware industry. The results of this study suggest that the government R&D should focus on improving the competitiveness of the intermediate good and parts industry.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.47-56
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• 2016

This study is on the actual analysis of R&D investment effect through DEA in terms of efficiency resulted from forestry sector climate change response R&D project. Namely, it is clarifying the mechanism of the scientific, technological, social performance result and output, depending on research development cost, employment size as same input. Also, it is in-depth analysis on which performance operates more efficiently in any detailed business. With the study result, we seek political implications to enhance investment effect and core element to consider R&D business project in the future.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.835-848
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• 2017

$\Box$ R&D 빅데이터 및 정보학 기술 활용을 위한 플랫폼 인프라(KiRI Note) 구축 ${\circ}$ (목표) 연구자의 통상적 연구활동이 DB화 될 수 있는 플랫폼 구축 및 주제별 계산과학 플랫폼과의 연계 프로토콜 구축 ${\circ}$ (내용) KIST R&D Data Bank 및 KIST R&D Informatics 플랫폼 구축 서비스 ${\circ}$ (계획) 연차별 연구목표 및 목표 산출물 / 추진체계 / 연구진 구성 / 투자계획