LAUSR

This study presents data envelopment analysis (DEA)-based systematic and simultaneous performance measures for research and business development (R&BD) and internal processes. In particular, we focus on the relationship between the research and development (R&D) process and business development (BD) process in evaluating R&BD overall performance, and provide effective guidelines for relatively underperforming decision-making units to help them establish an optimal strategy to increase their performance. To that end, we develop a two-stage network DEA model based on performance measures by defining variables and transforming R&D and BD performances into a serial network structure. In addition, based on the proposed method, we present a practical application of R&BD performance measurement for Korean public organizations, specifically public research institutes and universities.