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Public Opinion on Reasons for Joining Political Parties
Tabery, Paulína
In September 2010 the CVVM regular survey focused on questions about opinion on reasons for joining political parties. Czechs should also evaluate, whether particular reasons are right or wrong when somebody wants to participate on public life. Afterwards, people were asked, whether they have thought about membership in any political party in the last ten years.
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Irrationality in the decision- making of an individual as an economic entity in the territory of the Czech Republic
Böhm, Tomáš ; Zeman, Martin (advisor) ; Babin, Jan (referee)
The main objective of this thesis is an in-depth analysis of the decision-making process on issues of economic nature for individuals in the Czech Republic. The degree of rationality occurring in consumer behavior is evaluated based on lessons learned. The theoretical section is concerned with the economic aspect of the decision-making process, which mainly includes knowledge of neoclassical theory, whose basis is the cardinal and ordinal concept of utility maximization. Subsequently there are introduced the alternative approaches to decision making, focusing on the subjective aspects of human reasoning. Using the mutual synthesis of these approaches, the author draws a term behavioral economics, specific elements of which constitute a substantive content of the whole work. The practical section verifies the hypothesis that the decision-making contradicts the theory of rational individual conduct. Data collected through the questionnaire is subjected to analytical procedures by which the stated hypothesis was verified.
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The Macroeconomic Impacts of the Selected Oil Shocks in the United States of America
Šikulová, Markéta ; Johnson, Zdenka (advisor) ; Tajovský, Ladislav (referee)
The aim of this study is to analyze macroeconomic impacts of four selected oil shocks on the United States economy and their subsequent comparison. The first part of this study deals with the theoretical background of supply shock, its influence on the economy, and the possible responses of economic policy. Furthermore, in the first part I focus on the historical events that led to the oil crisis, specifically on the OPEC oil embargo imposed on the United States, production cuts caused by the Iranian revolution, Iran-Iraq War and Persian Gulf War and on the demand as well as the supply factors that led to the oil shock of 2007-2008. The second part of this study presents the specific impacts of four selected oil shocks on the US economy and their comparison. Based on the findings, it was possible to confirm the hypothesis saying that past oil shocks, especially those that took place in the 1970's, had more negative impacts on the United States economy in comparison with those that happened more recently. In other words, that the effects of changes in oil prices have lessened over time. There are many reasons of this moderation, but the most important ones include more effective monetary policy response, the decrease in wage rigidities, and more recently also the decline of United States dependency on imported oil.
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The prohibition of gambling in Czech cities and their economic efficiency since 2010
Lišková, Magdaléna ; Skopeček, Jan (advisor) ; Zeman, Martin (referee)
The bachelor thesis is about an evaluation of economic efficiency of prohibition of gambling in selected Czech cities since 2010. The theoretical part contains a definition of basic terms, a chapter about social costs and it also deals with a prohibition and the shadow economy. The practical part contains chapters about current legislation, about gambling market in the Czech Republic, next chapter is about methodology and at the end of this part there is the evaluation of economic efficiency. This chapter deals with an explanation why we can call the prohibition inefficient. It is also a resume of the thesis which is back up an argument of progress of total social costs and total revenues. The bachelor thesis, in spite of other Czech papers, works with presumption that the social costs are produced by pathological gamblers and it deals just with the original social costs. That is the reason why the thesis provides an original quantification of the social costs and new view on problems which are connected with regulation of gambling.
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On possible approaches to detecting robotic activity of botnets
Prajer, Richard ; Palovský, Radomír (advisor) ; Pavlíček, Luboš (referee)
This thesis explores possible approaches to detecting robotic activity of botnets on network. Initially, the detection based on full packet analysis in consideration of DNS, HTTP and IRC communication, is described. However, this detection is found inapplicable for technical and ethical reasons. Then it focuses on the analysis based on network flow metadata, compiling them to be processable in machine learning. It creates detection models using different machine learning methods, to compare them with each other. Bayes net method is found to be acceptable for detecting robotic activity of botnets. The Bayesian model is only able to identify the botnet that already executes the commands sent by its C&C server. "Sleeping" botnets are not reliably detectable by this model.
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Reasoning for decisions on mobile application testing
Balák, Martin ; Gála, Libor (advisor) ; Beránek, Marek (referee)
Thesis analyses the problematics of determining both qualitative and quantitative parameters for testing on projects involving development of mobile applications. First, content and scope of testing is fixed, followed by the specification of influence model. Methodology is proposed to ascertain the financial and temporal extent of the testing based on obtained influence model.
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Content Marketing for Lead Generation in B2B Educational and Consulting Services
Nykodýmová, Barbora ; Zamazalová, Marcela (advisor) ; Pospíchal, Tomáš (referee)
The aim of this thesis is to acquaint the reader with the issue of content marketing for generating leads and information about potential customers, then to analyze and offer some recommendations for its further use among B2B suppliers of educational and consulting services. The theoretical part discusses three key topics: the specifics of the services and B2B sector; content marketing and the reasons for its inclusion in marketing strategy; and the issue of lead generation as a possible metric of content marketing and sales tool. The practical part of the thesis approaches this topic from the perspective of four representatives of service suppliers, complemented by a point of view of the mediate company IVITERA. This company brings together one of the largest B2B communities in the services sector on the Czech market within its (especially online) media projects. Research was conducted through individual interviews with representatives of all five companies and by an analysis of secondary data, leads and keywords provided by the mediate company.
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Immigration as a factor endangering the bilateral relations between the EU and Switzerland
Jakšová, Karolína ; Jiránková, Martina (advisor) ; Němcová, Ingeborg (referee)
This thesis deals with the theme of bilateral relations between the EU and Switzerland, focusing on the current phenomenon of migration. The EU and Switzerland cooperate on bilateral sectoral basis, since Switzerland (hence the citizens of Switzerland) does not want to integrate into the European internal market to maintain its sovereignty and autonomy. Within the first series of bilateral agreements between the EU and Switzerland an agreement on free movement of persons was signed, thereby Switzerland opened its labour market to EU citizens. In February 2014, however, the citizens of Switzerland used the institution of direct democracy and adopted by a narrow majority the initiative to stop mass immigration. This step disrupted the agreement on free movement of persons and the complex negotiations started in order to solve this impasse. The aim of the thesis is to evaluate the impacts of immigration on the Swiss economy and the subsequent evaluation of the reasonableness to mitigate the immigration through a citizens' initiative.
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Serverless single page application in JavaScript
Zikmund, Marian ; Pecinovský, Rudolf (advisor) ; Suchan, Vladimír (referee)
The goal of this thesis is to design and develop a framework for building modern single- page application in the JavaScript programming language and describe this approach to development. The work also contains the documentation for a more comfortable use and customization. The content is divided into eight chapters. The introduction is followed by the retrieval of information resources, including the specifics of the JavaScript programming language and explanation of the formation of single-page application. The description of the basic principles of their functioning, motivation and justification, when and why this approach is appropriate is also included. The work is primarily focused on the issue of single-page application, for which the use of the JavaScript programming language is crucial. For this reason, this work provides a whole chapter about this programming language, also including a description of its history and role in the context of others. Below are the common characteristics of single-page applications frameworks, built on top of the library ReactJS, whose formation is engaged in the following chapter. The developed framework also contains the user guide. The practical outcome of this work is an open source framework for creating serverless single-page applications, which is due to its architecture and documentation appropriately adaptable.
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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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