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Hospital strategy performance
Márová, Adéla ; Dvořáček, Jiří (advisor) ; Bláha, Martin (referee)
This master's thesis called Hospital strategy performance deals with the strategic analysis of České Budějovice Hospital in relation to cost efficiency in this company. Information were provided during the interview with the company CEO, MUDr. Břetislav Shon. Primary input for financial analysis purpose were taken from the annual reports of 2011-2015. The introduction defines strategy and strategic analysis and the master's thesis' aims are specified. The theoretical part is based on theoretical definition and methodology of strategic analysis, the analytical process is introduced, as well as results evaluation based on specialized publication. The practical part consists of the description of the current situation in Czech health care, company introduction and the strategic analysis of the company. The conclusion includes the strategic analysis evaluation and recommendation for next steps.
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The possibilities and conditions for the use of tools for analyzing customer behavior on social networks
Horák, Vít ; Molnár, Zdeněk (advisor) ; Měsíček, Libor (referee)
The thesis deals with free tools that can be used to analyze customers of SMB e-commerce enterprises on the social network Facebook in order to increase their competitiveness within the social network. The theoretical part focuses on defining key terms, distinguishes types of social media and describes present social networks situation in world and in the Czech Republic from a users perspective and in the Czech Republic also from an enterprises perspective. Furthermore, the theoretical part also deals with possibilities that social networks can offer to the SMB enterprises. And as well it identifies different types of analytical tools that can be used for purposes of monitoring customers or analysis of customers. In the beginning of the practical part there is introduced the company Dobrutka.EU s.r.o. (the e commerce B2C company). Afterwards is presented the analysis of the survey about how SMB companies that operate the best Czech e-shops monitor and analyze their activities and customers from the social network Facebook. Subsequently there is handled the selection of appropriate tools for SME companies, which are also analyzed in the following chapter. At the end of the practical part there is practical application of knowledge from the thesis to Dobrutka.EU s.r.o. through the design and pilot deployment of appropriate procedures and analytic tools, whose effectiveness is evaluated at the end of chapter. The main benefit is in act of finding and verification of free tools and effective method that allows for detailed analysis of company customers even for micro companies and thus also effectively achieve positive economic results even in emerging facebook presentations.
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Sustainable tourism development of Vysocina Region
Veselá, Markéta ; Macháček, Jaroslav (advisor) ; Vondráková, Zuzana (referee)
The diploma thesis deals with the topic of sustainable tourism development at the regional level. This phenomenon is elaborated on the example of Vysocina Region. To evaluate sustainability of its development, the potential of this touristic destination is researched regarding various areas, including key products. These are subjected to comparisons with recommendations of significant tourism organization for the purpose of assessing the sustainability of tourism. The diploma thesis also includes a comparison with other Czech regions experience as a touristic destination. Vysocina Region has favourable initial conditions for its sustainable development, especially regarding supply of key products, which include both environmentally friendly goods and cultural attractiveness contributing to the personal development of individuals and promoting intercultural tolerance. The main issue appears to be the spatial imbalance of its development in the region, caused mainly by the concentration of tourist activities to certain areas and low local initiative in the less attractive areas. The diploma thesis proposes a number of solutions, such as utilization of geocaching and products of gastroturism, supporting the foundation of local destination management organisations, promoting cycling tourism and the foundation of highly visited tourist destinations.
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Clustering and regression analysis of micro panel data
Sobíšek, Lukáš ; Pecáková, Iva (advisor) ; Komárek, Arnošt (referee) ; Brabec, Marek (referee)
The main purpose of panel studies is to analyze changes in values of studied variables over time. In micro panel research, a large number of elements are periodically observed within the relatively short time period of just a few years. Moreover, the number of repeated measurements is small. This dissertation deals with contemporary approaches to the regression and the clustering analysis of micro panel data. One of the approaches to the micro panel analysis is to use multivariate statistical models originally designed for crosssectional data and modify them in order to take into account the within-subject correlation. The thesis summarizes available tools for the regression analysis of micro panel data. The known and currently used linear mixed effects models for a normally distributed dependent variable are recapitulated. Besides that, new approaches for analysis of a response variable with other than normal distribution are presented. These approaches include the generalized marginal linear model, the generalized linear mixed effects model and the Bayesian modelling approach. In addition to describing the aforementioned models, the paper also includes a brief overview of their implementation in the R software. The difficulty with the regression models adjusted for micro panel data is the ambiguity of their parameters estimation. This thesis proposes a way to improve the estimations through the cluster analysis. For this reason, the thesis also contains a description of methods of the cluster analysis of micro panel data. Because supply of the methods is limited, the main goal of this paper is to devise its own two-step approach for clustering micro panel data. In the first step, the panel data are transformed into a static form using a set of proposed characteristics of dynamics. These characteristics represent different features of time course of the observed variables. In the second step, the elements are clustered by conventional spatial clustering techniques (agglomerative clustering and the C-means partitioning). The clustering is based on a dissimilarity matrix of the values of clustering variables calculated in the first step. Another goal of this paper is to find out whether the suggested procedure leads to an improvement in quality of the regression models for this type of data. By means of a simulation study, the procedure drafted herein is compared to the procedure applied in the kml package of the R software, as well as to the clustering characteristics proposed by Urso (2004). The simulation study demonstrated better results of the proposed combination of clustering variables as compared to the other combinations currently used. A corresponding script written in the R-language represents another benefit of this paper. It is available on the attached CD and it can be used for analyses of readers own micro panel data.
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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.
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Usage of unstructured data in Business Intelligence
Rakhmanova, Malika ; Šperková, Lucie (advisor) ; Karkošková, Soňa (referee)
The aim of the thesis is to identify the main trends that are occurring in the market of Business Intelligence and related to unstructured data, to describe the possibilities for integrating unstructured data, to clarify what the impact on the company have the results that can be obtained using these solutions and how generally incorporate an analysis of unstructured data into BI. Another aim is to show the current situation of processing unstructured data on the example of BI system. The thesis is divided into several parts. First part is describing of the Business Intelligence area and the basic components of Business Intelligence, as well as identifying market trends. Then, there is the next part: separating the data into structured and unstructured. Here is the part about how you can access and analyse unstructured data and what is their place in BI systems. This is the end of a block of unstructured data and the beginning of a description of the enhanced version of BI. Finally, the current market situation and BI tools, which include unstructured data, are introduced. This section provides an overview of how BI tools approach to analyse unstructured data. Existed literature, professional and freely available Internet resources are used for writing the work. The purpose is to serve as a source of information for quickly orienting in the current situation, to serve as a guide to the world of BI solutions and to show potential users what are the options and functionality of these BI solutions.
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Architectural database refactoring
Nguyen Trung, Hoa ; Palovská, Helena (advisor) ; Krch, David (referee)
This bachelor thesis deals with database architectural refactorings. Its purpose is to describe each and every architectural refactoring method in detail on theoretical level with following author's own examples. These examples contain schema update mechanics and an outline of application code update. First of all, there will be an explanation of what refactoring stands for and what are the main differences between database refactoring and code refactoring. Following is detailed description of each and every architectural refactoring method with its principle, benefits and potential tradeoffs. The next part consists of author's own examples where update mechanics from theory are applied. Final chapter evaluates achievement of objectives, contribution of thesis and proposals on how can this thesis be extended.
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Analysis of the company environment
Hladík, Ondřej ; Dvořáček, Jiří (advisor) ; Strouhal, Jiří (referee)
This bachelor thesis deals with methods of analysing the company environment and then using these methods on a company Travel Service, a.s. The primary purpose is to determine main factors affecting the market position of this company. Methods used for analyzing the company environment are introduced in theoretical part of the thesis. For analysing the macroenvironment is used PEST analysis and Porter five force model is used for analysing the critical factors of macroenvironment. The thesis include SWOT analysis and recommendations for the company based on the collected informations.
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Motivation and evaluation of empolyees
Sinkulová, Anna ; Legnerová, Kateřina (advisor) ; Šmíd, David (referee)
My bachelor thesis is focused on motivation and assessment of employees in the company. The aim of this thesis is to investigate the influence of team building and benefits on employees' motivation. Literature based theoretical part of my thesis describes and investigates the real meaning and purpose of motivation and basic motivational concepts. Furthermore, I outlined the basics behind employee benefits, team building and also stated the current given trends in these areas. The practical part is focused on benefit and workplace research and their impact on the general motivation to work and the relations between the employees of the Czechoslovak Commercial Bank (ČSOB). In order to collect the best results, I used the method of questionnaires. Respondents were asked to answer questions considering their satisfaction with the system of employee benefits and the importance of teamwork. Based on the survey results I propose certain changes that should lead to motivation improvement and better job performance.
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