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The Reflection of Great Depression in 1929-1933 in Czech literature of economy until 1945 - fundamental overview
HOVORKOVÁ, Michaela
The fundamental aim of this bachelor thesis is the essential overview of reflection of Great Depression in czech economic literature untill 1945. The focus is given on works of the main economists and their most important works concentrated on economical crisis. For this goal the political and economical development since the foundation of Czechoslovakia related with development of the economical crisis is analyzed in theoretical part of work. The explanation of crisis of some political parties is included in this theoretical part of work. Then follows short biography ? introduction of selected economists and their prefered economical view and directions. This bachelor work could be used as a study material in the course Macroeconomics and History of economic thinking aimed on Czechoslovakia during 1929 ? 1933.
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External Sources of Finance for Business Projects in the Czech Republic
Kubíčková, Kateřina ; Filipová, Vladimíra (advisor) ; Drozen, František (referee)
This bachelor thesis is focused on external sources of finance for business projects in the Czech Republic. The theoretical framework summarizes the expertise and definitions relating to business, entrepreneurs personality, to legal forms of business and traditional external sources of finance. As the lack of resources or difficult access to traditional sources of capital can sometimes be an obstacle in the realization of a welcome and viable business plan, the second half of the thesis is devoted to alternative options of financing business projects with an emphasis on EU subsidies drawing. Other analysed external sources of finance are the investments of private investors called Business Angels, venture and private equity capital, crowdfunding and at the end preferential credits from banking institutions offered to start-ups or new business projects. The main target of this thesis is to provide an overview of the available external projects funding, to find out how they are going on in the Czech Republic and at the conclusion to assess, what kinds of projects are suitable for every single kind of funding. This thesis could help to entrepreneurs, who do not have enough funds for their idea, to be knowledgeable in current options of external financial sources.
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The impact of the economic cycle to finance the defense of the Czech republic in years 2004-2014
Heres, Ondřej ; Chmelová, Pavla (advisor) ; Strejček, Ivo (referee)
This bachelor work examines the impact of economic performance on financing the defense sector in the Czech Republic in the years 2004-2014. The main questions are whether this influence is clear and the extent to which is essential for funding this sector. The work also provides a basic overview about development and structure of the Ministry of Defence budget in these years. The theoretical part contains theories of business cycle and public sector and briefly introduces the basic institutions that are tasked to provide a defense. The analytic part analyzes the expenditures and revenues of the Ministry of Defence and assesses their mutual influence and simultaneously the influence of GDP on these indicators. To compare with previous findings, the GPD growth rate and the growth rate of defense expenditures in selected countries of NATO are analyzed in brief in the last chapter. While findings based on data from the Ministry of Defence have rather anticyclical development of defense expenditures, in selected countries of NATO, the development is more procyclical. It highlights the very ambiguous impact of the economic cycle on expenditures in the defense sector.
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Chytrá a udržitelná města v kontextu vědecké a inovační strategie EU
Horniecká, Marie ; Žamberský, Pavel (advisor) ; Procházková Ilinitchi, Cristina (referee)
The thesis explores how the EU support to research and innovation towards urban sustainability is designed, what the existing EU intiatives striving for achieving smart and sustainable cities are. The analysis of theoretical approaches forms the basis for developing the definition of smart and sustainable city for the purpose of this thesis. An overview of the principal EU strategic documents which address urban sustainability together with European networks is provided in order to demonstrate the linkage to the research Framework Programmes. A separate chapter is devoted to the analysis of the most pressing challenges European cities face nowadays. Database of EU funded research and innovation calls and projects is examined (E-CORDA). Calls and projects related to urban areas are identified and juxtaposed with the urban problems. Final recommendations concern with social aspects of sustainability which should be, in the author's opinion, addressed in future EU research Framework Programmes with a particular attention.
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Outsourcing and its impacts on company through Enterprise architecture
Štěpán, Jakub ; Šebesta, Michal (advisor) ; Bruckner, Tomáš (referee)
This final thesis is dealing with the theme of outsourcing and its influence on company in connection with enterprise architecture as the main carrier of ongoing changes. Main focus of this thesis is to provide the overview of the area of Enterprise architecture and outsourcing as well as the description of the selected notation of Enterprise architecture modeling, which will be main instrument in describing the transformation. Theoretical part of the work is divided into three parts. Firstly there is description of the enterprise architecture and chosen connected areas, followed by description of the outsourcing process and description of the modeling language ArchiMate. Practical part of the work is composed of analysis, description and evaluation of the transformation of the selected company. Among the main contribution of this thesis there is description of the changes during the transformation using the ArchiMate modeling language and identifying of concrete impacts of outsourcing on Enterprise architecture of the company.
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Effective dashboard design in the analytical tasks of IS
Janeczková, Agata ; Šedivá, Zuzana (advisor) ; Pour, Jan (referee)
The thesis deals with analysing and designing an effective dashboard. By way of introduction the topics of Business Intelligence, data storages and data quality are described. Then, an overview of analytical outputs is given and the process of their formation is outlined. The basic principles of an effective design of management reports are described, with emphasis laid on the end user. The thesis focuses on important factors of efficiency, such as applicability of transferred information and the form of their transfer. The practical part concentrates on the improvement of the efficiency of a particular dashboard. Besides the rules of a correct design, knowledge of cognitive psychology is also used for this purpose. Upon an analysis of deficiencies of an existing dashboard, proposed changes are incorporated. Changes resulting in more effective transfer of information via a dashboard are based on a theoretical basis of the previous section.
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Comparison of accounting programs from the point of view of the use of information for management companies
Loušová, Petra ; Stejskalová, Irena (advisor) ; Pevná, Jana (referee)
The aim of the thesis is to compare accounting programs from the point of view of the use of information that are important for management companies. The theoretical part deals with the general approach to processing business information in the accounting. Next there is explained an overview of what information in the field of accounting are important and necessary for the job of financial manager. The practical part contains an analysis of at least three accounting programs, with the main focus on what information from the selected accounting program managers need in their work and what information is actually gaining from the program. In practical part, there are also compared results of individual organizations; information is gathered through in-depth interview with financial managers selected companies.
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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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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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Phishing in the gaming industry
Nguyen Van, Thanh ; Luc, Ladislav (advisor) ; Veber, Jaromír (referee)
This bachelor thesis deals with a currently major issue of cyber security, which is phishing. The study is also specific in that it is focused on the gaming industry, which is subjected to a detailed analysis. The first goal of thesis is to acquaint the reader with problems of security risks of phishing in general and in game related fields. To achieve this goal, in the introduction of the theoretical part of the work, the general problem of phishing with a view on historical development and expansion is presented. Furthermore is described topic of gaming industry, its trends of videogames and security risks of online trading. The second goal is to give future and existing Steam users an overview of common phish-ing attacks and countermeasures. To achieve this goal, in the analytical part of the work, a specific gaming platform in online trading and distribution of game is selected, Steam from Valve. In the practical part of the work, eight selected phishing attacks are conducted to brief analysis and completed into a final evaluation and countermesures of all attacks.
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