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논문 기본 정보

자료유형
학술저널
저자정보
박성민 (백석대학교)
저널정보
대한산업공학회 대한산업공학회지 대한산업공학회지 제40권 제3호
발행연도
2014.6
수록면
342 - 357 (16page)

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초록· 키워드

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The present study analyzes the relationship between research and development (R&D) inputs and performance of a national technology innovation R&D program using successive binary Logistic regression models based on a typical R&D logic model. In particular, this study focuses on to answer the following three main questions; (1) “To what extent, do the R&D inputs have an effect on the performance creation?”; (2) “Is an obvious relationship verified between the immediate predecessor and its successor performance?”; and (3) “Is there a difference in the performance creation between R&D government subsidy recipient types and between R&D collaboration types?” Methodologically, binary Logistic regression models are established successively considering the “Success-Failure” binary data characteristic regarding the performance creation. An empirical analysis is presented analyzing the sample n = 2,178 R&D projects completed. This study’s major findings are as follows. First, the R&D inputs have a statistically significant relationship only with the short-term, technical output, “Patent Registration.” Second, strong dependencies are identified between the immediate predecessor and its successor performance. Third, the success probability of the performance creation is statistically significantly different between the R&D types aforementioned. Specifically, compared with “Large Company”, “Small and Medium-Sized Enterprise (SMS)” shows a greater success probability of “Sales” and “New Employment.” Meanwhile, “R&D Collaboration” achieves a larger success probability of “Patent Registration” and “Sales.”

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2. 이론배경 및 문헌고찰
3. 연구모형
4. 실증분석
5. 결론
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UCI(KEPA) : I410-ECN-0101-2015-500-001510063