National Repository of Grey Literature 26,355 records found  1 - 10nextend  jump to record: Search took 1.01 seconds. 

Contemporary Trends in Research and Development of Lead-Acid Batteries
Micka, Karel
Problems of the development of lead-acid batteries for new generation od automobiles with 36/42 electrical system and for hybrid electric vehicles are outlined and disensed.

Řízení lidí v multikulturním prostředí
Moryc, Katarzyna Małgorzata ; Dvořáková, Zuzana (advisor) ; Vávra, Radovan (referee)
The main objective of the thesis was to define and analyze key aspects of managerial work in multicultural environment, in one of the Shared Services Center department, of multinational company based in Prague, Czech Republic. Further thesis aimed to define essential competencies of the successful manager and leader driving performance of multicultural department and provides recommendations to improve managerial performance in key aspects of manager s work such as communication, motivation, performance management and cross-cultural leadership. It is argued that presence of intercultural interactions between managers and their subordinates, impacts effectiveness of the managerial performance. Thesis consists of theoretical and practical part. First part of the thesis explores theoretical concepts regarding culture, communication, motivation and leadership with respect to multicultural environment specifics. In the second part, used research methods, conducted research analysis and outcomes are presented. Further in practical part recommendation towards analyzed aspects of managerial work that would lead to higher overall department performance are defined.

Estimate VAT selection after the introduction of electronic evidence of sales in the Czech Republic from 2016
Píchal, Dominik ; Pikhart, Zdeněk (advisor) ; Zeman, Martin (referee)
The Bachelors Thesis focuses on the topic of the tax collection and other subjects that are related to the topic like underground economy, tax evasion and other instruments that lead to the efficiency improvement of the tax collection. Electronic evidence of taxes in Czech is the kind of the instrument that aims towards the increase of the tax collection and improvement of the control of the taxpayer. Comparation and analysis was used for its methodological basis. Analysis and comparison serves as the proof that the thesis, of the electronic evidence of taxes beeing an effective instrument, is correct. The merit of the thesis is an overall description of the chosen phenomena affecting the tax collection, description of the models of electronic evidence of taxes from abroad and most importantly description and analysis of the upcoming czech one.

The development of government debt in the Czech Republic from 1993 to 2015
Zeman, Mikuláš ; Klement, Josef (advisor) ; Vebrová, Ludmila (referee)
The aim of this bachelor thesis is to analyse the development of government debt in the Czech Republic from 1993 to 2015 with respect to the development of revenues and expenses of national budget as well as the development of macroeconomic indicators. The thesis is focused on evaluation of the economic policy of respective governments during the period and assessment of the effect of political reasons on the development of government debt. It also comprises a comparison of the situation in the Czech Republic with the situation in certain post - communist states. The theoretical part describes main notions the thesis deals with. Eventually it presents thoughts of selected economists on the economic policy. The practical part carries out analysis of the development of government debt in respective periods focusing on revenues and expenses, and the development of selected macroeconomic indicators. Evaluation of the economic policy of respective governments is also included. In its conclusion the thesis assesses an effect of political reasons on the amount of the government debt in view of relevant theories and hypotheses. The analysis showed that under the studied circumstances only one of the hypotheses became evident, namely that a weak position of the government leads to remarkable budgetary deficits.

The effect of investment in tertiary education on gross wages in the region Prague
Diessner, Daniel ; Chytil, Zdeněk (advisor) ; Babin, Jan (referee)
The aim of this work is to determine whether and how higher education affects gross wages. The theoretical part focuses on the theory of human capital, especially investment in education. The theory posits that a higher investment in human capital leads to higher yield, higher wages. The validity of this concept will be tested on the group of respondents who entered the labour market at the turn of millennium. Concentration of candidates with tertiary education in this period has risen considerably, which could cause an imbalance in the labour market. The practical part is based on the work of Mincer (1974). I used Mincer Earnings Function as a basis to build regression model. Partial aim is to prove the declining rate of return on investment in tertiary education using Mincer Equation.

Creation and optimalization Facebook campaign for specific e-shop
Karkošová, Martina ; Zamazalová, Marcela (advisor) ; Stříteský, Václav (referee)
This bachelor thesis Creation and optimalization facebook campaign for specific e-shop is about marketing using of social network - Facebook, focusing on e-commerce Rodinnebaleni.cz. The thesis is divided into theoretical and practical part. The theoretical part is about the Internet marketing, social networks, Facebook and advertising on it. In the practical part I will deal with the creation of an advertising campaign for e-commerce rodinnebaleni.cz on Facebook. Individual results will be evaluated according to the PNO indicator. According to the results we will see how each ad set is effective. The measures for optimalization leading to the highest possible performance of the campaign gonna be established.

Optimization of the process of recruitment and selection of employees
Doxanská, Kateřina ; Legnerová, Kateřina (advisor) ; Němec, Otakar (referee)
The aim of the thesis is based on the comparison and evaluation of the selection process and recruitment in three selected companies find the optimum process. The paper compares these HR processes with IT developer JetBrains s.r.o., a pharmaceutical company Shire Czech s.r.o. and company providing services in the field of facility management. The thesis is divided into four chapters. The first chapter is devoted to basic theoretical knowledge concerning the chosen topic. In the second chapter describes the process of recruitment and selection of employees in individual companies. The third chapter contains a comparison of selected companies, their processes and are given recommendations for individual companies, which will help improve these processes. The fourth chapter is devoted to a number of possibilities to improve individual aforementioned processes to be more efficient and lead to optimal process of recruitment and selection of employees.

Míry podobnosti pro nominální data v hierarchickém shlukování
Šulc, Zdeněk ; Řezanková, Hana (advisor) ; Šimůnek, Milan (referee) ; Žambochová, Marta (referee)
This dissertation thesis deals with similarity measures for nominal data in hierarchical clustering, which can cope with variables with more than two categories, and which aspire to replace the simple matching approach standardly used in this area. These similarity measures take into account additional characteristics of a dataset, such as frequency distribution of categories or number of categories of a given variable. The thesis recognizes three main aims. The first one is an examination and clustering performance evaluation of selected similarity measures for nominal data in hierarchical clustering of objects and variables. To achieve this goal, four experiments dealing both with the object and variable clustering were performed. They examine the clustering quality of the examined similarity measures for nominal data in comparison with the commonly used similarity measures using a binary transformation, and moreover, with several alternative methods for nominal data clustering. The comparison and evaluation are performed on real and generated datasets. Outputs of these experiments lead to knowledge, which similarity measures can generally be used, which ones perform well in a particular situation, and which ones are not recommended to use for an object or variable clustering. The second aim is to propose a theory-based similarity measure, evaluate its properties, and compare it with the other examined similarity measures. Based on this aim, two novel similarity measures, Variable Entropy and Variable Mutability are proposed; especially, the former one performs very well in datasets with a lower number of variables. The third aim of this thesis is to provide a convenient software implementation based on the examined similarity measures for nominal data, which covers the whole clustering process from a computation of a proximity matrix to evaluation of resulting clusters. This goal was also achieved by creating the nomclust package for the software R, which covers this issue, and which is freely available.

Use of Interest Rate Models for Interest Rate Risk Management in the Czech Financial Market Environment
Cíchová Králová, Dana ; Arlt, Josef (advisor) ; Cipra, Tomáš (referee) ; Witzany, Jiří (referee)
The main goal of this thesis is to suggest an appropriate approach to interest rate risk modeling in the Czech financial market environment in various situations. Three distinct periods are analyzed. These periods, which are the period before the global financial crisis, period during the financial crisis and in the aftermath of the global financial crisis and calming subsequent debt crisis in the eurozone, are characterized by different evaluation of liquidity and credit risk, different relationship between financial variables and market participants and different degree of market regulations. Within this goal, an application of the BGM model in the Czech financial market environment is crucial. Use of the BGM model for the purpose of predicting a dynamics of a yield curve is not very common. This is firstly due to the fact that primary use of this model is a valuation of interest rate derivatives while ensuring the absence of arbitrage and secondly its application is relatively difficult. Nevertheless, I apply the BGM model to obtain predictions of the probability distributions of interest rates in the Czech and eurozone market environment, because its complexity, direct modeling of a yield curve based on market rates and especially a possibility of parameter estimation based on current swaptions volatilities quotations may lead to a significant improvement of predictions. This improvement was also confirmed in this thesis. Use of swaptions volatilities market quotations is especially useful in the period of unprecedented mone- tary easing and increased number of central banks and other regulators interventions into financial markets that occur after the financial crisis, because it reflects current market expectations which also include future interventions. As a consequence of underdevelopment of the Czech financial market there are no market quotations of Czech koruna denominated swaptions volatilities. I suggest their approximations based on quotations of euro denominated swaptions volatilities and also using volatilities of koruna and euro forward rates. Use of this approach ensures that predictions of the Czech yield curve dynamics contain current market expectations. To my knowledge, any other author has not presented similar application of the BGM model in the Czech financial market environment. In this thesis I further predict a Czech and Euro area money market yield curve dynamics using the CIR and the GP models as representatives of various types of interest rates models to compare these predictions with BGM predictions. I suggest a comprehensive system of three criteria, based on comparison of predicti- ons with reality, to describe a predictive power of selected models and an appropria- teness of their use in the Czech market environment during different situations in the market. This analysis shows that predictions of the Czech money market yield curve dynamics based on the BGM model demonstrate high predictive power and the best 8 quality in comparison with other models. GP model also produces relatively good qua- lity predictions. Conversely, predictions based on the CIR model as a representative of short rate model family completely failed when describing reality. In a situation when the economy allows negative rates and there is simultaneously a significant likelihood of their implementation, I recommend to obtain predictions of Czech money market yield curve dynamics using GP model which allows existence of negative interest rates. This analysis also contains a statistical test for validating the predictive power of each model and information on other tests. Berkowitz test rejects a hypothesis of accurate predictions for each model. However, this fact is common in real data testing even when using relatively good model. This fact is especially caused by difficult fulfilment of test conditions in real world. To my knowledge, such an analysis of the predictive power of selected interest rate models moreover in the Czech financial market environment has not been published yet. The last goal of this thesis is to suggest an appropriate approach to obtaining pre- dictions of Czech government bonds risk premium dynamics. I define this risk premium as a difference between government bond yields and fixed rate of CZK IRS with the same length. I apply the GP model to describe the dynamics of this indicator of the Czech Republic credit risk. In order to obtain a time series of the risk premium which are necessary for estimation of GP model parameters I firstly estimate yield curves of Czech government bonds using Svensson model for each trading day since 2005. Resulting si- mulations of risk premium show that the GP model predicts the real development of risk premiums of all maturities relatively well. Hence, the proposed approach is suitable for modeling of Czech Republic credit risk based on the use of information extracted from financial markets. I have not registered proposed approach to risk premium modeling moreover in the Czech financial market environment in other publications.

Analysis of Financing Research and Development in the Czech Republic
Vacek, Jan ; Hnilica, Jiří (advisor) ; Sieber, Patrik (referee)
The topic of this bachelor Thesis is an Analysis of Financing Research and Development in the Czech Republic. Research and Development (R&D) plays an important role in improving the competitive ability of the Czech Republic, for it constitutes a source for increasing productivity, economic growth and employment. The results of R&D lead to creation of new products and services, which in return increases the quality of life of the Czech citizens. This bachelor thesis focuses on analysis of financing R&D in the Czech Republic. The objective is to find out who finances R&D in the Czech Republic, where do these funds go to, and what they are used on. This thesis also focuses on R&D employees and R&D departments in which they work. The bachelor thesis is concluded by comparison between the R&D data for Czech Republic and other countries form the Europian Union.