Abstract. The article deals with the application of Data Envelopment Analysis on research and development (R&D) effectiveness assessment of Czech manufacturing industry. The aim of this paper is to analyze effectiveness of resources spent in R&D, i.e. how effectively are resources transformed into marketable outputs of R&D. As variables are used R&D personnel, R&D expenditure and Sales of products of R&D to another entity. Data envelopment analysis is based on assessing the quantity of consumed inputs by the produced outputs and estimation of production possibility frontier by techniques of linear programming. Two models are calculated: an input oriented model with variable returns to scale and an input oriented model with constant returns to scale. Described approach to evaluation of R&D effectiveness can also be used in other sectors of economy as well as other countries. It was found that the most effective sector of Czech manufacturing industry is a manufacture of wood and paper while automo tive industry is the least effective.
The objective of this article is to study the relations among financial indicators, competitiveness and business ethics of comparable small and medium-sized enterprises. A sample of 59 SMEs from the South Moravia region was chosen. All selected companies either produce or service electronics. This research is based on the application of scientific analysis, synthesis, induction, fuzzy logic and modeling. Information for this research was obtained from secondary information sources – Amadeus database, accounting statements and information from the register of companies. Each company is described by a set of 10 variables. Fuzzy sets and reasoning are ideal tools to cope with vague, ill-structured and uncertain scenarios which can be found frequently in business and economics. This is the main reason why fuzzy logic was used in this research. The paper is self-explanatory and no a prior knowledge of fuzzy reasoning is required.
Competitiveness is currently being studied by many economic analyses. Generalization of the countries’ competitiveness definition as a measure of understanding of the performance evaluation economies is important. Visegrad Four countries: Hungary, the Czech Republic, Slovakia and Poland were admitted to the European Union in May 2004. EU Member States must respect the common EU objectives. The European Union, as expressed in the strategy Europe 2020, is obliged to increase competitiveness, innovation, by introduction of modern technology and especially the growth R&D investment. Limited data to evaluate R&D expenditure: inconsistencies in the R&D support, the absence of data concerning the other means of financing in the sector BERD, limitations of statistical data on the number of innovations only to firms with R&D activities. The aim of this paper is to evaluate the development of R&D expenditures by sector of funding in the Visegrad Four countries in comparison with the values of the EU-27 and countries of Visegrad Four together.
This article describes the impact of R&D investment to on the economic stability in the Czech electronics industry in the period 2007–2014. Increasing the competitiveness of companies is conditional on the systematic investments, development and stability of companies. Searching for competitive advantage through innovation may be one of the ways of how to obtaining a stab. market position in the industry. The aim of this article was is to determine whether there are relations between changes of economic indicators and the reporting process of research activities for innovative companies in the electronics industry. The research was conducted among 103 companies based in the Czech Republic, which invested in R&D in 2007 – 2013. The comparison was made between companies which invested in the 2007 – 2013 in the annual or occasional R&D. Two subgroups were established and companies in each subgroup were monitored companies according to their size. Spearman’s rank correlation was used to assess if relationships among R&D Expenditure and Operating Revenue were preserved across periods. Two hypotheses were formulated and verified on the basis of statistical data processing of innovative companies. The results showed that innovative companies had the ability to better capitalize on their asset base, and they are better able to cover their needs from their own resources better than other companies of in the electronics industry. Their ability to provide a return on equity varies by according to company size. Innovative companies showed an ability to reach a positive outcome from operating activities. The coefficient of self-financing for SMEs is for SMEs constantly above the industry mean and increases with the length of period of time. This trend was not confirmed for micro-companies and large companies this trend was not confirmed.
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