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Orienteering club support system
Buk, Jindřich ; Vojíř, Stanislav (advisor) ; Sklenák, Vilém (referee)
Nowadays, an increasing number of processes and life situations is getting IT support. Often the use of the Internet aims to accelerate and simplify existing processes. In addition, there is a big area of social networking that can be complementary. This thesis deals with the possibilities of using web technologies to support the running of a club and its subsequent development. Indeed, the club has the potential to simplify and automate many processes which previously have been carried out by someone in person. It has also a potential to use social networks for its publicity and development. The aim is to first determine what areas of the clubs operations are the most appropriate to be supported by any information system. Another objective is to find out how other clubs already integrate any information systems. The final objective is to design and create a specific application. The first two objectives are addressed through a survey among the leaders of the biggest Czech clubs. Indeed in these clubs, the use of automation and simplification of existing processes could have a great potential. The proposal for a specific application is then based on the previous survey and the field experience of the author. While serving many existing processes in running the club, the proposed application adds many elements of social networking.
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Application of the Balanced Scorecard in the company ELLA-CS
Cwierz, Jan ; Neumaierová, Inka (advisor) ; Beneš, Oldřich (referee)
Balanced Scorecard belongs to the most prominent managerial tools for performance measurement and strategy management. Aim of this thesis is to describe BSC with emphasis to small and medium enterprises using literature review. Additional supporting tools for strategy formulation are included as well. BSC is then proposed for implementation in privately owned small enterprise in the sector of medical devices. Based on the thorough analysis of the company and its environmental factors operational and strategical performance gaps are identified. Such gaps are then addressed by means of BSC including financial, customer, internal processes and learning and growth perspective. Despite some limitations inherent to SMEs in general introduction of BSC is feasible and could be of value to all company stakeholders.
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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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Mobile application for clothing stores
Gronesová, Nikola ; Kubálková, Markéta (advisor) ; Topolová, Ivana (referee)
The aim of diploma thesis is to suggest a mobile application for clothing stores. At the same time it takes into account how consumers and businesses are influenced by digital technologies. The app´s name is Digital Closet and its purpose is to organize your closet. Thesis includes a description of a mobile application in general and the well-known operation systems. Then one of the operation systems was set as a basic requirement for suggested application. This thesis also in part analyzes mobile applications at fashion industry. In conclusion, two surveys were conducted. First survey aimed at consumer market and the second one at clothing stores.
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Complex numbers, quaternions and their applications
BRDLÍK, Pavel
The bachelor thesis is dedicated to the topic of complex numbers and quaternions and their application. The main goal of this thesis is to familiarize with the subject of complex numbers and quaternions and their important properties and to present these terms with suitably selected examples. Complex numbers can be used among others to represent a planar rotational movement, quaternions can be used to represent rotations in three-dimensional space. The aim of this thesis is to provide a well arranged summary of the theory and a sample solution of practical examples that would illustratively demonstrate the application of complex numbers and quaternions by description of planar or spatial movements or their further applications.
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A Monistic and dual organizational structure of a joint-stock company
Čížková, Jana ; Kříž, Radim (advisor) ; Hásová, Jiřina (referee)
The thesis deals with two types of organizational structure of a joint-stock company regard to changing legislation, effective from 1st January 2014. The work is initially focused on new type of organizational structure - a monistic organizational structure. It consists of the board of directors and the statutory director. The work explains the operation and scope of the company's bodies. The second type of organizational structure, which analyses the work, is dual organizational structure. It consists of the management board and the supervisory board. The work is based on the Civil Code and the Business Corporations Act.
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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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Building and using small computer networks
Borecký, Jiří ; Pinkas, Otakar (advisor) ; Šmejkal, Ivo (referee)
This thesis deals with the construction and use of smaller computer networks. To build a better and more efficient computer network was used corporate network of parents, which is mainly used for the operation of accounting. The input information was used for generating analysis of the current state of the computer network. Additionally makes a proposal, which leads to improvement of the computer network and then testing whether the proposal was successful.
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