초록

용어보기논문에서 용어와 풀이말을 자동 추출한 결과로, 시범 서비스 중입니다. AI-Helper

Abstract ▼ AI-Helper

This study proposes a R&D project performance evaluation framework that calculates a composite score reflecting the efficiency as well as the effectiveness of a R&D project. First, a hierarchical data structure is developed where input and performance data are classified into the efficiency and th...

This study proposes a R&D project performance evaluation framework that calculates a composite score reflecting the efficiency as well as the effectiveness of a R&D project. First, a hierarchical data structure is developed where input and performance data are classified into the efficiency and the effectiveness evaluation category. Second, Data Envelopment Analysis(DEA) model calculates a DEA efficiency score using multiple quantitative input and performance data. Third, for the effectiveness, three distinct effectiveness scores are defined based on their own qualitative Likert scale survey data associatedJ with (1)level of technology utilization, (2)level of commercialization and (3)level of goal achievement. Fourth, a composite score is determined for each R&D project using the aforementioned DEA efficiency score and three distinct effectiveness scores. In this composition process, four different dimensionless normalization weights are employed in order to equalize the unequal sum of every series of scores. Regarding 445 R&D projects, empirical analysis results show that composite scores locate within [0,1] range where their distribution forms an approximate normal shape. Moreover, it is verified that the composite score evaluation framework has the validity in terms of the congruence between the series of composite scores and a crucial normalization index so-called ‘sales per R&D project fund’. Additionally, it is shown that the series of composite scores has statistically significant (+) correlation against every subordinate scores. Nonparametric Kuskal-Wallis tests show that composite scores tend to get higher in a group of recently deployed R&D projects as well as a group of R&D projects with a comparatively smaller fund size.

주제어