Evaluation of the company Stavební firma s.r.o.

The objective of this diploma thesis is the evaluation of a small construction company according to two different methods and consequent assessment of the values obtained by using these methods. The evaluation was requested by the shareholders of the company to assess current situation of the company and to research and sum up potential future opprotunities. The results of this thesis should serve as a basis for company's strategic decision making. First part of the thesis focuses on methodologic aspects of evaluation. The second part is devoted to the application of defined methods and processes on the real construction company. The enterprise was evaluated by discounted cash flows method and by liquidation value method. In conclusion of this thesis, both methods are compared and possible mesasures are proposed to the shareholders

Consumer and price ambivalence

Práce na základě internetového dotazníkového šetření popisuje základní schémata v chování spotřebitele při koupi řezaných květin. Důvodem průzkumu je odlišnost květiny jako produktu od produktů běžné spotřeby. Cílem je charakteristika základních modelových parametrů v rozhodování spotřebitele při koupi květin s důrazem na úlohu ceny. Smyslem je návrh doporučení prodejnám s květinami

Conversion of meteorological input data implemented in the algorithm of storm prediction

This article focuses on a new way of converting input meteorological parameters, based on which outputs are computed in the Algorithm of Storm Prediction (Algorithm). This Algorithm has been developed to forecast precipitation and dangerous phenomena associated with convective severe storms that may cause floods in the Czech Republic. Transformation Algorithm of Input Meteorological Parameters is shown in the methodological part for data conversion purposes. The result section evaluates the accuracy of converted outputs using three aggregation methods. The outputs of this article will be used to improve the quality of converted data for computing outputs in the Algorithm of Storm Prediction. © Springer Nature Switzerland AG 2019.[CEBIA-Tech LO1303]; [A2.4-ICT