• 한국벤처창업학회:학술대회논문집
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• 2020.06a
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• pp.203-210
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• 2020

본 연구에서는 대표적인 국내 중소·중견기업 육성사업인 "World Class 300 프로젝트" 수혜기업을 대상으로 R&D 지원사업의 성과를 측정하고자 한다. 특히, 수혜기업을 산업군(소재·부품·장비·모듈·소비재 기업)별로 세분화해 R&D 지원사업이 산업군별 특성에 따라 어떻게 차별화되는지에 대해 실증분석하였다. 분석은 2011년부터 2017년까지 World Class 300 프로젝트에 선정된 총 272개 기업을 대상으로 수행되었으며, 패널회귀 방법론을 통해 얻은 분석결과는 R&D 지원이 산업군에 따라 기업의 성과(당기순이익)에 상이한 영향을 미치는 것으로 확인되었다. 소재, 부품, 장비 기업 표본에서는 성과에 통계적으로 유의한 영향을 미치지 못했고, 모듈 기업 표본에서는 성과에 부정적인 관계가 있는 것으로 나타났으나, 소비재 기업 표본에서는 성과에 긍정적인 영향을 미친 것으로 분석되었다. 본 연구는 향후 R&D 지원효과를 극대화하기 위해서는 산업군별 특성에 맞는 차별화된 지원정책의 기획·집행이 필요하다는 점에서 기존 연구들과의 차별성을 확보할 수 있다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.4
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• pp.121-133
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• 2020

This study aims to measure the result of R&D support projects on the beneficiary companies of the World Class 300 project, a representative domestic middle market enterprise incubation project. In particular, beneficiary companies were classified into industry groups(materials, components, equipment, modules, consumer goods) and the empirical study was conducted on how the result of R&D support project was differentiated by each industry group's characteristics. The analysis was performed on 272 companies selected as WC300 project during 2011 to 2017. The result of Panel regression Analysis confirmed that R&D support project had divergent influences on the performance (net profit) of companies depending on which industry group they belong. The samples of materials, components, equipment companies turned out not to have statistical significance. The samples of modules companies showed negative correlations, while those of consumer goods was observed to have positive correlations. This study demonstrates that it is essential to plan and implement policies suited to the characteristics of each industry groups to maximize the effect of R&D support projects henceforward.

• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.213-217
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• 2018

The relationship between R&D investment and subsequent change has been mostly confirmed under additional influencing factors, with the form of innovation investments. The research assumes that a firm adjusts its R&D spending in accordance to performance feedback. It is argued that an increased fluctuation of a firm's R&D expense is related to a reduced performance. This hypothesis is tested on SME in World class 300 Projet by SMBA. Using panel data models, instability measured by SD is related to performance levels measured by ROA, ROE & PM. Results support the proposed relationship between R&D expense instability and the subsequent performance. Although a causal link cannot be clearly established, the results indicate that firms with a lower performance have higher R&D investment fluctuations, possibly being more responsive to performance feedback.