Evaluation of Operational Efficiency with the Consideration of Corresponding Innovation Process for Companies in Intellectual Vehicle Industry

Abstract:

Research and innovation play an important role in development of high-tech companies. With the consideration of innovation process, this paper divides the operation of intelligent automobile enterprises into two stages by date envelopment analysis (DEA) analysis, i.e., stages of innovation process and production process. This paper measures the operational efficiency considering corresponding innovation process for companies in intellectual vehicle industry. Efficiencies of 24 related public companies are estimated by a two-stage DEA model during 2010~2015. The conclusions of the study that the efficiency of the innovation stage decreased slightly in 2013 and shows an increasing trend between 2014 and 2015. The efficiency of operation stage keeps constant. It is discovered that the comprehensive efficiency of enterprises is more relevant to innovation efficiency in the correlation analysis. Compared with the efficiencies of operational stage, innovation efficiency for each company is quite low, which indicates that there is still a huge gap between the benchmarking enterprises and other enterprises, especially for the companies of manufacturing advanced driver assistant system, automatic control and operating system. Moreover, the unreasonable funding and lack of R & D capability are the main reasons for the low efficiency of the innovation process.