Zdrojový dokument:SMSIS 2019 : proceedings of the 13th International Conference on Strategic Management and Its Support by Information Systems
Název akce13th International Conference on Strategic Management and Its Support by Information Systems, SMSIS 2019 (21.05.2019 - 22.05.2019, Ostrava)
Abstrakt:
Current issues of the Czech automotive manufacturing resonate among several topics including EU emission legislation, development of alter-native fuels and propulsion, support of R&D, preparation for the up-coming trends like autonomous cars and renewal of vehicles. Automo-tive industry is viewed as an engine of the Czech industry. The produc-tion is close to 1.5 million vehicles per year making up about 1200 bil-lion CZK in revenues. This industry consist of many companies that are interlinked in a supplier network. The goal of this paper is to investigate efficiency of automotive companies in the Czech Republic and to com-pare regions and identify those with relative low efficiency. To achieve this, we employed data envelopment analysis (DEA) which is a non-parametric approach to measure efficiency of a finite number of deci-sion-making units (DMUs). This approach is very sensitive to the choice of measures. We applied a selecting model, which could also help to identify the optimal number of inputs and outputs from a group that make economic sense. Using selected inputs and outputs, we performed analysis of efficiency with CCR and BCC models. Results suggest rela-tively concentrated efficiency with large differences among automotive firms across NUTS2 regions.
