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EN
This paper deals with area of business performance measurement and management. Based on primary data obtained by questionnaire survey current state of performance measurement in Slovakian industrial companies was analysed and then cause and effects relationships between factors influencing performance ware assessed by PLS method. The results were compared with the results of other authors. We found out that strategic orientation, performance monitoring and reward system have positive impact on business performance.
EN
The article is focused on selected problems of manufacturing firms’ efficiency. One of the factors increasing efficiency should be utilization of advanced manufacturing technologies. The article deals with the hypothesis that technologies are utilized in sophisticated groups which can be named clusters of technologies. The content of the second hypothesis is an idea that the companies using clusters of technologies can have higher level of efficiency and better ability to response the economic depression than the other ones. The both hypotheses were verified on the base of results of the survey conducted among Czech manufacturing companies and the analysis of their financial reports during the period 2007 to 2011. Financial business indicators describing various aspects of firm efficiency are analysed and presented with the aim to verify the second hypothesis.
EN
The paper elaborates a methodology how to include weights of subjective significance into a pyramid decomposition of a financial indicator accounting for additive and multiplicative relationships possible amongst partial factors making up the decomposition. The proposed methodology also encompasses a Monte Carlo simulation based procedure for stochastic assessment of uncertainty associated with a particular choice of weights. The paper comments as to how this procedure may be applied in practice of financial corporate analysis and demonstrates its usability in a case study which considers a pyramid decomposition of the Economic Value Added financial indicator.
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