earticle

영어

This study explores the application of Two-stage data envelopment analysis(DEA)approach for the evaluation of R&D process which is composed of two stages such as (i)R&D stage and (ii)technology transfer stage. An usual attempt to deal with two-stage process is to apply the standard DEA model to each stage. However, such an approach may conclude that two inefficient stages lead to an overall efficient decision making unit(DMU)with the input of the first stage and outputs of the second stage. Consequently, improvement of one stage affects the efficiency status of the other, because of the presence of intermediate measures. In this study, we applied the Chen and Zhu(2004)'s model to the two-stage R&D process in order to guarantee an overall efficient two-stage process when each process is efficient, and provide a DEA projection with a set of optimal intermediate measures for inefficient DMUs.