Performance evaluation of research and business development: A case study of Korean public organizations

Abstract

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.