• Korean Journal of Construction Engineering and Management
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• v.10 no.4
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• pp.119-128
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• 2009

The construction R&D(Research & Development) has various performance according to research charater. But present performance evaluation form evaluates project rather than charater of research. The important reasons that evaluats the performance are to try conclusions with evaluated objects in the short run, but to forecast the performance of future construction R&D and to get the better performance. Thus this study extracts the RPI(Research Performanc Index) with output as the conter, developes the estimation method and measures the quantitative performance. Applying the ANOVA(Analysis of Variance), it is proved that the performance according to research charater is various. And applying the Correspondence Analysis, it is analised the relationship with performance and research charater. The purposes of this study are to idetify the problem of uniform performance evaluation and to improve it.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.674-679
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• 2006

The public research and development (R&D) funds for construction engineering is one of the key elements for the advancement of construction industry. Korean Ministry of Construction and Transportation is currently planning to produce approximately US$ 500 millions of research funds every year in Korea from year 2007. Along with the prospect for increasing R&D investment, there is of increasing pressures on the development of quantitative methodologies for assessing the performance of construction R&D results. Although there have been some general R&D project evaluation methods, they are not readily used for construction R&D research assessment due to the distinct characteristics of construction R&D. This paper presents a simple methodology that can make quantitative assessments of construction R&D performances. The proposed methodology is expected to assist government officials in objectively evaluating construction R&D performances and identifying the areas that require more R&D investment.