Evaluating the efficiency of intellectual capital through data envelopment analysis approach (Case study: Automotive industry and component manufacturers)

Abstract

The aim of this study was to evaluate the efficiency of intellectual capital of companies listed on Tehran Stock Exchange through Data Envelopment Analysis approach. In this study, the automotive industry and component manufacturers listed in Tehran Stock Exchange were chosen as pilot, and intellectual capital (human, physical, and structural capital) index was used as input index; stock return, return on assets, and return on equity were utilized as output variables for fifteen companies of this industry between 2006 and 2010. Results from the efficiency of intellectual capital indicated that throughout the years of assessment in this study, it was only the brake pad company that had the best performance among the selected companies; this was due to the fact that this company had been able to gain the maximum performance of intellectual capital in the assessed years.