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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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Možnosti využití sociálních sítí pro podporu podnikání v autoservisech
Mischaniuk, Mykhailo ; Molnár, Zdeněk (advisor) ; Gála, Libor (referee)
The diploma thesis deals with the problem of using social networks in the field of car repair services. The primary aim is to provide the recommendations for businesses in a structured way on how to better utilize these networks to get better competitiveness. This work is divided into three parts. The first theoretical part deals with basic description of networks and their statistics. This part also covers some basic tools that we can use to analyze and maintain social network platforms. The second analytical part deals with competitive analysis in car repair services and gives an overview of the most popular Runet social network platforms. The third practical part provides structured view on all important aspects of social platform maintenance and behaviour. In this section, you can find the description of various views and the recommendations I give to the specific car repair service.
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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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Taxation of Employee benefits in the chosen EU countries
Nguyenová, Phuong ; Rytířová, Lucie (advisor) ; Finardi, Savina (referee)
This diploma thesis aims to compare taxation of employee benefits in particular EU countries and identify their impact on employees and also employers. The main goal is to summarize the procedures that need to be done when dealing with benefits as well as state several suggestions for prospective reader. The thesis is divided into four chapters. First chapter defines employee benefits. Second chapter analyses benefits from employee's and employer's point of view. Third chapter gives detailed overview of benefits' taxation in selected countries of European Union. These countries are the Czech Republic, Slovakia and Austria. Finally last chapter contains several practical examples which show how to proceed when determining the amount of tax, while simultaneously comparing the differences in taxation between countries.
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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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Possibilities of Participative Evaluation.
Vondráková, Renata ; Rynda, Ivan (advisor) ; Bergerová, Marcela (referee)
This work is based on a research thesis that says, in the case of long or mid-term processes that deal with a wide land area or large amount of people, non-participatory evaluations can have even a negative influence on watched process or its impacts, because it doesn't cover them all. The Methodology being used is mainly an exploration of facts in foreign literature, which is being added with the authors own experiences. This work introduces Participatory Monitoring and Evaluation (PM&E) as an unfamiliar concept in Czech Republic. It aims to describe the evaluation as an integral part of projects or programs. This work details several concerning obstacles while using participatory evaluation while also offering descriptions on how to use this approach in practice, including offering an overview of methods and techniques most currently used. Based on interviews with 16 experts it suggests also a possible way of using this concept in Czech Republic with the example of Local Action Groups in LEADER.
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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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Forms of advertising on social networks and consumer protection
Žďárský, Jiří ; Vavrečka, Jan (advisor) ; Štěpánek, Petr (referee)
The theme of this thesis are forms of advertising on social networks and consumer protection. The main informational source is above all research of specialized literature, articles, online or other sources in connection with author's own observations and analysis of the respective legislation and ultimately the comparison with author's gained professional experience. The result of this work is a comprehensive overview and introduction to the law of social networks and advertising, demonstration of the importance and significance of this topic and finally evaluation of the effectiveness of legislation that protects consumers in the environment of social networks.
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Renewable energy legislation
Kučerová, Veronika ; Štěpánek, Petr (advisor) ; Černý, Pavel (referee)
This master thesis discusses current legislation in the field of supported and renewable energy sources. At the beginning of the thesis are defined renewable energy sources from the perspective of Czech legislation and of professional view. The second part is focused on legislation regarding renewable energy sources in the European Union and the Czech Republic. Follows an overview of the support tools and legislation regarding renewable energy sources in other member states of the European Union and the current status of the set objectives related to the share of energy from renewable sources in gross final energy consumption, which have been established by Directive 2009/28/EC. At the end is summary, along with an overview of the most successful and least successful countries in terms of achieving the objective.
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The Consumer dispute resolution
Marková, Kristýna ; Švarc, Zbyněk (advisor) ; Hásová, Jiřina (referee)
The thesis deals with the consumer dispute and ways how to resolve it. The main aim of this thesis is to analyze and evaluate if disadvantages of court proceeding in the Czech republic still overweight its advantages, and thus whether the topic of alternative disputes resolution of consumer disputes is actual, then to give an overview and evaluation of alternative disputes resolution for consumer dispute which the Czech republic offers in the context of Community Law of the European Union, and finally to outline the development of future initiatives in this area.
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