• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.259-266
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• 2021

This study is a study to systematize the R&D activities of social enterprises to derive a logical model of the R&D support policy, and aims to systematize the R&D activities based on the R&D demand survey and R&D activity analysis of social enterprises. R&D activities of social enterprises are at an early stage or are not systematic compared to general enterprises, so the process modeling method is used to group detailed activity elements to standardize and systemize them. As a result of the research, social enterprises are aware of the necessity and importance of R&D activities to secure competitiveness of products and services to increase social value, and because of their lack of R&D experience and capabilities, R&D specialized institutes (R&D planning institutes, government-funded research institutes), Universities, etc.) and are expected to improve R&D capabilities. The performance indicators of social enterprise R&D activities are derived in units of input-process-performance indicators through demand survey, activity analysis, and in-depth interview (FGI), and the logical model of R&D support policy is in the areas related to business strategy and performance.

• Journal of Technology Innovation
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• v.22 no.2
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• pp.77-104
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• 2014

Government R&D support for SMEs is very important and the R&D budget is also increasing. This study suggests a new method for analyzing a performance of R&D programs and analyzes the performance of R&D programs funded by small & medium business administration using the method. We discuss new measures "efficiency" that means short-term performance and "effectiveness" that means long-term performance. Weights based on the R&D programs' characteristics among the various sub-indicators of two measures were derived, and then the final scores were calculated by combining the weights with the responses on the indicators. Finally, this study tests the mean differences between R&D programs statistically. As a results, efficiency of R&D programs shows a significant difference between the R&D programs, while effectiveness does not. Most of the efficiency scores are low, whereas the effectiveness scores are high. The results explain that the R&D programs are managed inefficiently. However, most SMEs predict a positive impact of government R&D supports on effectiveness in the long term. Government needs to try to improve the efficiency of R&D supports because SMEs cannot expect sustainable performance with no improvement in efficiency.

• Science & Technology Policy
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• v.8 no.10 s.115
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• pp.29-41
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• 1998

• Science & Technology Policy
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• v.8 no.10 s.115
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• pp.16-28
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• 1998

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.1
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• pp.80-84
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• 2013

The EU in order to surpass the United States in the world economy have tried several aspects. Economic growth is possible through the technological competitiveness of this industry, and also through the development of industrial technology and employment. Such EU Commission has taken several support policies in order to raise the R & D capabilities. Non-EU member countries, Korea, R & D pipe central incisor see support for the policy proposal evaluation for women is important. The aim of this paper is to analyze the proposal evaluation process of the EU commission for R&D projects. I argue that the EU's methode of proposal evaluation for EU R&D consists of five stages: expert briefings, proposals for individual assessment, consensus and finally a panel evaluation. The main features of the EU's R&D evaluation process for proposals are experts and panel evaluation. The Korean government could select, operate and manage experts for the EU's R&D evaluation. That would lead to a higher rate of success for Korean proposals in the EU.

• Journal of Digital Convergence
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• v.14 no.5
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• pp.47-55
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• 2016

The purpose of this study is to analyze the status of various government support policy for IoT sector and survey the level of satisfaction and relative importance among policies. In order to achieve the goal, this study surveyed experts in the field of IoT, utilizing Hierarchy Process Analysis methods. Major findings are as follows; first, despite of wide range of IoT-related policies, experts in the industry and academy are very limited, ; second, the order of policy satisfaction is primarily on Oversea Marketing, followed by R&D support, Venture support, Human resource education.; third, the order of importance is primarily Venture support, followed by R&D support, Human resource education. Also, it has been given the higher importance to the role of leader as R&D support, Oversea market pioneering, and industry university network, rather than the role of coordinator and supporter. However, expert group does not recognize the importance of policies related to the role of coordinator because these policies always have been conducted in major government projects.

• Journal of Technology Innovation
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• v.32 no.2
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• pp.1-21
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• 2024

This study aims to estimate policy effects that appear heterogeneously within the beneficiary group by matching the beneficiary and non-beneficiary groups based on propensity score quartiles and analyzing the effect of policy benefits on sales growth. To achieve this, 239 SMEs that participated in R&D support program for the manufacturing of materials, components, and equipment in 2020 were selected as the beneficiary group. The propensity scores of these companies were calculated and divided into eight quartiles for matching between the non-beneficiary and beneficiary groups. Subsequently, double difference analysis was used to calculate the sales growth rate attributable to policy support. The study found that the largest policy effect was observed in the lowest quartile group, and companies with high patent application rates and 3-year sales growth rates experienced significant policy effects. These findings suggest that propensity score quartile-based analysis can be effectively utilized to refine the criteria for selecting beneficiary companies and the scope of industrial policy support.

• Journal of Korea Technology Innovation Society
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• v.10 no.1
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• pp.1-21
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• 2007

Among numerous policy influencers' and researchers' advices and policy suggestions, there is little opposition to the proposition that technology is essential to the economic development. The role of technology has never been more emphasized than today in Korea as in any other countries. The effects of the government's innovation policy on corporate R&D activities and more broadly the economic welfare of a whole nation are widely recognized with intuitional and empirical evidence. That is, various R&D incentives reduce the marginal cost of a firm's R&D efforts, inducing as much increase of its R&D investment to result in a better chance to acquire target technology. This paper examines the impact of R&D incentives on the technological outcomes by analyzing individual firms' investment behaviors subject to the government's R&D incentive policies. An econometric model of technological outcomes is estimated on a project level with cross-sectional data. "Probit model" is employed for estimations. Special attention was given to the effectiveness of R&D programs by estimating policy impact by types of investment. The data were collected from 928 different R&D projects completed between 1987 and 1993. With the single equation approach, we were able to find that the structure of investment is a far more significant factor in technological outcomes than the total amount of investment. The analysis also shows that the two types of firms' matching investment, in-kind and cash, do not bear a complementary, but a substitutive relations to each other. It also reconfirms the proposition that R&D incentives increase firm's financial investment. Despite many supportive studies emphasizing the cooperation between innovation performers, it is also found that the larger the number of institutions involved in a project, the less likely it leads to a technological success, And meeting the proposed deadlines without postponing is estimated to be a good barometer to predict the outcome of an R&D project. Also the probabilities of success for major variables are represented for policy implications, after calculating marginal effects.

• JOURNAL OF ELECTRICAL WORLD
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• s.346
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• pp.64-72
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• 2005

에너지산업 해외진출 활성화 및 에너지 수급시스템 혁신으로 高유가 극복/ 한전, 공기업 최초 『중소기업 기술상담 센터』개소/ 한전, 국내기업 최초로 해외 CDM사업 진출/ 한국중부발전(주), 중소기업 정보화지원(ERP) 협약체결/ 한국동서발전(주), 발전회사 최초 부부과장 탄생/ 한국남부발전-(주)에코아이, 풍력발전 CDM 추진을 위한 MOU체결/ 한국남동발전, 2005년 호주 세계석탄회의 한국대표로 주제 발표/ 두산중공업, 국산 원전설비 美 수출/ 효성, 「2005 프리뷰 인 서울(PIS)」참가/ 한전KDN, 전력 IT 중기 R&D지원/ 현대중공업(주), 「2005 에너지전」에 참가/ 한국종합에너지, 포스코파워로 회사명 변경/ '고유가 뚫어라' 모토시리즈-미국국가에너지정책에서 배운다/

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.2
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• pp.71-80
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• 2014

Standard Industrial classification is a key factor of technology spillover effect. It is the result of the empirical study that is the IC(industrial classification) which influences the technology spillover effect by way of interaction term, or moderating effect combing independent variables and moderators. As relatively high technology industry is more important than the low counterpart in R&D management system. And the result of the study says that Government should support SME's considering the IC moderating effect and different subsidies which is appropriated to the SME's IC(industrial classification). This way of Government subsidy will improve the efficiency of industrial policy effect of SME's.