• Proceedings of the Korea Technology Innovation Society Conference
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• 2015.05a
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• pp.226-240
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• 2015

The purpose of this study is to establish a proper evaluation system for R&D performance by analyzing relationships between quantitative results of science& technology and national wealth. We analyzed 193,474 research papers in multi-disciplinary fields from SCOPUS database and explored co-relations between HCP production by section and national wealth. This research found a significant relationship between the number of HCP papers and GDP & GDP per capita by nation. Also, results from this study indicate that top 30 to 40 percent of researches should be reflected in the performance evaluation while these numbers could be flexible in accordance with the direction of national policy. In terms of future research, this study provides basis for designing more effective R&D performance evaluation systems.

• Journal of Technology Innovation
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• v.25 no.2
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• pp.153-179
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• 2017

Korean government has granted fixed indirect cost rates to several exceptional R&D programs which is lower than the predetermined rate by the government. It has been needed to evaluate the validity of exceptional R&D programs and determine the optimal indirect costs rate of the programs. This study analyzes the cost structure and explores drivers of indirect costs of exceptional R&D programs and evaluates the validity of current indirect costs rates. Finally, we propose the formulas for indirect costs rates of exceptional R&D programs. We analyze the cost structure of the exceptional R&D programs. Equipments and material costs are 50% in infra building program. Scholarship to students is 43% in HRD program. Equipments and material costs are 50% and R&D activity costs are 31% in international R&D program. Main cost components of evaluation program are salary(37%), R&D execution costs(21%) and R&D activity costs(19%). We propose three formulas of indirect costs for exceptional programs. 1) The cost items with exceptionally large amount are excluded in the base of formula for indirect costs. 2) Fixed indirect cost rate is applied for specific R&D programs. 3) Upper bound is set for the cost items with exceptionally large amount in the calculation of indirect costs rate. Our proposal is expected to contribute to the improvement of the efficiency of national R&D programs.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.5
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• pp.157-171
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• 2014

This study has empirically analyzed the effect of government technology development supports on the performance of SME's (Small-and-Medium-Sized Enterprises). To analyze the effects of government technology development supports on the performance of SME's, this paper collected data from 271 Korean SMEs and tested hypothesis on the key questions. The result shows that government technology development supports had a meaningful positive effect on the performance of SMEs in terms of innovation. It was also understood that the closer the ties were with large enterprises, the higher the R&D personnel ratio was. Furthermore, when the SME was a certified venture, the government technology development supports had less influence on the SME's technological innovation. On the other hand, SME's technological innovation performance in relation to the government supports showed an improvement when the business environment of SME's was hostile. This study offers theoretical and practical implications, as it more accurately analyses the effect of government technology development supports on the performance of SME's, for which data were collected and analyzed for the same companies two separate times. Last of all, the limitation of this study is discussed in terms of the sample selection, data collection method, variables measurement method, etc.

• Proceedings of the Korea Technology Innovation Society Conference
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• 1999.05a
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• pp.409-419
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• 1999

전기기술은 기술의 특성상 민간에 대한 유인이 적은 공유성 기술이나 대학 또는 기업이 감당하기 어려운 대형복합기술의 비중이 높으며, 최근 들어 전력산업의 구조개편 등에 따라 국가적 기술개발수요가 확대됨과 동시에 전기기술의 이용분야 확대와 타 기술과의 융합화 및 대형화로 신기술수요가 늘어나고 있다. 현재 우리 나라의 전기기술 R&D체제에서는 공공기술에 대한 사각지대가 발생하고 있음에도 불구하고 국가차원의 R&D 공급이 미약하여, 거대한 시험설비와 첨단고가장비를 필요로 하는 시스템기술로 일부 기기나 시스템운용을 제외하고는 개별기업이나 전력회사에 대한 기술개발 유인이 크지 않으며, 따라서 전기기술분야의 R&D 실태 파악과 역할에 대한 검토를 통해 R&D 주체별 기관특성에 맞는 국가 R&D체계의 정립이 필요한 실정이다. 따라서, 앞으로는 전기기술분야의 국가 R&D 목표 및 기본전략에 따라 국가 R&D 자원의 규모, R&D 주체간의 역할분담 등 전반적인 R&D 체계의 구축이 선행되어야 하며, 이를 통해 기관별 Mission 및 고유기능을 토대로 전문성 제고와 특성화를 유도할 수 있는 연구여건의 조성이 시급하다 하겠다. 특히, 장기대형연구, 원천기술연구, 기초기반연구, 연구기반구축, 인력양성 등 필수적 국가기능에 대해서는 기관별 특성에 따라 안정적인 역할수행이 가능하도록 역할분담 및 정책적 지원을 하되, 그 밖의 영역이나, 민간 및 전력회사의 독자적인 R&D에 대해서는 경쟁 및 협력을 통한 연구효율성 향상을 유도하는 방향으로 나가는 것이 바람직할 것이다. 국가적 전력기술 R&D의 효과적인 수행과 실효성 확보를 위해서는 재원확보가 선행되어야 하며, 이를 위한 방안으로는 기존의 전력사업자에게는 기술개발충당금 또는 전기요금 중 일정비율을 국가적 R&D 재원으로 설정할 수 있을 것이며. 신규 사업자에게도 규제비용의 차원에서 일정 부담금을 부과하는 방법이 가능할 것이다. 이러한 재원을 가지고 사업성격 및 R&D 유형에 따라 역할분담에 따른 지원, 정책적 사업, 경쟁적 사업공모 등을 통해 지원분야 및 규모, 대상기관 등에 대한 선별적인 지원이 이루어져야할 것이다.

• Journal of Korea Technology Innovation Society
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• v.14 no.4
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• pp.791-812
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• 2011

The aim of this paper is to address the factors that influence R&D performance of the Korea Institute of Science and Technology (KIST), the representative government-supported research institute in Korea, through an empirical case study. Using the KIST R&D project data from 2004 to 2008, we investigate the determinants of R&D performance through a logistic regression analysis, and compare the results with the survey data we collected from researchers. Our results indicate that total budget, high rate of temporary researchers, and the outcome of the research director's past publications affect publishing performance, while the size of equipment, materials expenditure, and whether the research is outsourced or not affect patent registration performance and technology transfer performance. Contrary to expectations, major factors of publishing performance and that of patent performance are different respectively, and even the results of the survey data we collected from researchers show the difference. Accordingly, the findings of our study suggest the need for research institutes to consider facilitating communication with researchers and enhancing research policy analysis for improving R&D performance.

• KDI Journal of Economic Policy
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• v.21 no.2
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• pp.105-145
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• 1999

Romer류의 내생적 성장모형과 신고전학파의 성장모형을 통합한 Jones(1997, 1998a)에 의하면 장기균형성장요인의 기여도가 예상보다 작고 여러 단기요인의 성장기여도가 큰 것으로 나타났다. 본고에서는 기술이용능력과 모방노력의 개념을 도입하여 Jones모형을 수정하고 이를 이용하여 한국의 성장요인을 분해한다. 이에 따르면 대GDP 투자비중, 연구인력비율 및 취업자 교육연수의 증가 등 이행경로상의 단기요인이 지난 30년간의 노동생산성 증가의 78%를 설명하고 있으며 균형성장경로 요인의 기여도는 22%에 지나지 않는다. 자본축적의 뒤를 이어 R&D 투자 등 새 단기요인의 역할이 증대되면서 우리나라의 경제성장률이 크게 하락하지 않을 것으로 예상된다.

• Journal of Korea Technology Innovation Society
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• v.19 no.3
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• pp.658-685
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• 2016

In technology economic theory, technology innovation through R&D is regarded as a core element of economic growth. This research analyzes how R&D input factor (R&D as a percentage of GDP, total number of researchers, the proportion of science and engineering degree) affects GDP, economic outcome variable, through mediating variable (S&T papers, patent registration). The most effective variable among R&D activity variables is following order: the number of S&T papers (0.967), the total number of researchers (0.373), the proportion of R&D expenditure (0.191), the number of patent registration (0.049), the proportion of science and engineering degree (0.007). It is that the proportion R&D expenditure and the total number of researchers shows greater indirect impact through S&T papers and patent than the direct impact on GDP. This implies the importance of high-quality human resources training and the necessity of maintaining the scale of R&D fund or the importance on GDP. Moreover, S&T papers turns out to have the greatest effect on GDP and implies new outcome and value by sharing and expanding new knowledge and technology created by R&D

• Journal of the Korea Society of Computer and Information
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• v.17 no.1
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• pp.235-245
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• 2012

The purpose of this paper is to develop an online analytical processing (OLAP) database system for small and medium-sized enterprises (SMEs) growth support. In this paper, we made a model of measuring SME size first. The model is composed of five determinants of firm growth such as employment, sales, the amount of export, own technology, and the ratio of R&D expenditure to sales. Second, we designed the FREQUENCY dimension table which will make staged support of R&D expenditure. We developed the OLAP database system by using three dimensions including the FREQUENCY dimension, and using the model of measuring SME size. Also we assessed past decisions on R&D expenditure support in the Small Business R&D Support Project by using the OLAP database system.

• Journal of Korea Technology Innovation Society
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• v.22 no.3
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• pp.382-415
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• 2019

This study analyzes the impact of exclusive subcontracting on the input, behavior, and output of innovation in manufacturing industries of Korea. Based on the analysis of pooled cross-sectional data of 6,029 small venture firms, this study proved that the exclusive subcontracting between small venture firms and large enterprises are lowering R&D investment of small venture firms. Second, the innovation activities of small venture firms including the ratio of R&D personnel and the scope of cooperation and partnership with external organizations were lower than those of small venture firms that have non-exclusive or no relations with large enterprises. Third, the innovation performance of small venture firms such as the number of patent applications, the ratio of sales by new products, and the cumulative sales growth rate was lower than those of small venture firms that have non-exclusive or no relations with large enterprises. This study verifies that the exclusive subcontracting relationships significantly weaken the innovation process and performance of small venture firms systematically, resulting in a kind of market failure in which small venture firms have almost no incentive to facilitate innovation.

• Knowledge Management Research
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• v.24 no.1
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• pp.245-271
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• 2023

The change to the data economy requires a new analysis beyond ordinary research in the management field. Data matching refers to a technique or processing method that combines data sets collected from different samples with the same population. In this study, statistical matching was performed using random hotdeck and Mahalanobis distance functions using 2020 Survey of Korea Venture Firms and 2020 Korea Innovation Survey datas. Among the variables used for statistical matching simulation, the industry and the number of workers were set to be completely consistent, and region, business power, listed market, and sales were set as common variables. Simulation verification was confirmed by mean test and kernel density. As a result of the analysis, it was confirmed that statistical matching was appropriate because there was a difference in the average test, but a similar pattern was shown in the kernel density. This result attempted to expand the spectrum of the research method by experimenting with a data matching research methodology that has not been sufficiently attempted in the management field, and suggests implications in terms of data utilization and diversity.