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The Effects of the New Deal on the social status of Afro-Americans in selected sectors of the US economy
Schwammenhöfer, Tomáš ; Tajovský, Ladislav (advisor) ; Johnson, Zdenka (referee)
This bachelor thesis deals with the effects of the New Deal legislation on Afro-Americans in the 1930s. Specifically, the thesis analytically focuses on the influence of various politician of this program on their social environment within the US economy. For the ease of understanding of whole issue is needed to know the situation of Afro-Americans in the previous decade as well as in the Great Depression. That is the content of the first two chapters. Subsequently there is the outline of the situation leading to the election of F. D. Roosevelt, US President. The last and as well the most important chapter of the whole thesis is devoted to analysis of individual programs and their impact on Afro-Americans. It concludes that the New Deal had both positive and negative influence on this minority, depending on the economic sector and the relevant administration. New Deal generally meant a huge progress in their economic and political affairs.
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Estimate VAT selection after the introduction of electronic evidence of sales in the Czech Republic from 2016
Píchal, Dominik ; Pikhart, Zdeněk (advisor) ; Zeman, Martin (referee)
The Bachelors Thesis focuses on the topic of the tax collection and other subjects that are related to the topic like underground economy, tax evasion and other instruments that lead to the efficiency improvement of the tax collection. Electronic evidence of taxes in Czech is the kind of the instrument that aims towards the increase of the tax collection and improvement of the control of the taxpayer. Comparation and analysis was used for its methodological basis. Analysis and comparison serves as the proof that the thesis, of the electronic evidence of taxes beeing an effective instrument, is correct. The merit of the thesis is an overall description of the chosen phenomena affecting the tax collection, description of the models of electronic evidence of taxes from abroad and most importantly description and analysis of the upcoming czech one.
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Implementation methodology of open source ERP in SME
Polák, Tomáš ; Gála, Libor (advisor) ; Lieb, Dušan (referee)
This paper deals with the implementation of open source ERP systems in the area of small and medium-sized enterprises. The main objective of this work is to define an open source ERP implementation methodology, suitable for small and medium enterprises. This objec-tive is fulfilled partially by defining of manifesto, as way of thinking about this area and analysis of current state of available implementation methodologies. Newly described met-hodology is then verified by a case study. The main contribution of this work is the defini-tion of implementation methodology for open source ERP systems in area of SME focusing on frequently occurring insufficiencies and leading to successful deployment of company IS.
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Innovation activities in Germany in the context of smart specialisation
Vlčková, Markéta ; Vlčková, Jana (advisor) ; Vošta, Milan (referee)
Economic growth is slowing in many countries. It leads to a discussion on what sources of growth should countries focus. For this purpose, EU created the concept of smart specialization, which puts an emphasis on the most efficient use of public financial resources dedicated to research and development. The aim of this thesis is to find out on what industry Germany as a leader of EU innovation and its individual regions specializes and to identify potential areas for targeting resources to innovation, research and development. This will be determined by using the patent network. The secondary objective is to interconnect findings of patenting and analysis of innovation activities in various regions of Germany with international trade and to determine whether there is a correlation between innovation activity in a particular sector and export of the sector's products abroad.
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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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The American Foreign Policy with the Middle East : from the earliest days to the Obama’s mandate
Petraud, Jean-Félix ; Eichler, Jan (advisor) ; Dubský, Zbyněk (referee)
The following dissertation is an attempt of analysis and understanding of the foreign policy of the United States in the Middle East region and its evolution through time. Considering the fact that the Middle East region is or at least used to be a vital region for the United States national interests, the dissertation presents an exhaustive list of major events that have been major shifts in the US foreign policy in the region. The more or less chronological timeline allows the reader to have a better understanding of the evolution of the US foreign policy. The result of the dissertation is the identification of different patterns of foreign policy and to put the spot on the reasons of the changes of these patterns. Nevertheless, the history of the Middle East region and the incredible number of major events through the 2Oth century and the early 21st century make impossible to deal with all of them. Moreover, analysis and comments are based on academic research, but the dissertation remains subjective and may lead to discussions and debates.
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Employer branding in Building Industry
Hralová, Lenka ; Bušina, Filip (advisor) ; Havlíček, Karel (referee)
The Master's Thesis is focused on a modern trend in human resource management, employer branding, analysed as a general image of a company as employer, its working conditions and a preference of this company as a stable employer. The main goal is to review the range and relevance of employer branding within Czech building industry based on existing company and comparison with its competition. The first part describes theoretical definitions of employer branding and its instruments. The second part presents the empirical research done in Metrostav a.s., comparison with its competition and a questionnaire between civil engineering students and construction apprentices that was focused on their expectations of future employment in the building industry. In the end of the thesis the research is evaluated and the improvements that would lead to empowerment of employer brand are suggested.
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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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Míry podobnosti pro nominální data v hierarchickém shlukování
Šulc, Zdeněk ; Řezanková, Hana (advisor) ; Šimůnek, Milan (referee) ; Žambochová, Marta (referee)
This dissertation thesis deals with similarity measures for nominal data in hierarchical clustering, which can cope with variables with more than two categories, and which aspire to replace the simple matching approach standardly used in this area. These similarity measures take into account additional characteristics of a dataset, such as frequency distribution of categories or number of categories of a given variable. The thesis recognizes three main aims. The first one is an examination and clustering performance evaluation of selected similarity measures for nominal data in hierarchical clustering of objects and variables. To achieve this goal, four experiments dealing both with the object and variable clustering were performed. They examine the clustering quality of the examined similarity measures for nominal data in comparison with the commonly used similarity measures using a binary transformation, and moreover, with several alternative methods for nominal data clustering. The comparison and evaluation are performed on real and generated datasets. Outputs of these experiments lead to knowledge, which similarity measures can generally be used, which ones perform well in a particular situation, and which ones are not recommended to use for an object or variable clustering. The second aim is to propose a theory-based similarity measure, evaluate its properties, and compare it with the other examined similarity measures. Based on this aim, two novel similarity measures, Variable Entropy and Variable Mutability are proposed; especially, the former one performs very well in datasets with a lower number of variables. The third aim of this thesis is to provide a convenient software implementation based on the examined similarity measures for nominal data, which covers the whole clustering process from a computation of a proximity matrix to evaluation of resulting clusters. This goal was also achieved by creating the nomclust package for the software R, which covers this issue, and which is freely available.
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