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Critical evaluation of Šik s reform
Šrámek, Ondřej ; Szobi, Pavel (advisor) ; Dufek, Pavel (referee)
The thesis deals with the so called Šik s reform, which was a reform, that tried to implement certain elements of market economy in the centrally planned economy of Czechoslovakia in the sixties of the twentieth century. Firstly the thesis describes the course of the reform, when the importance of the central plan was significantly reduced, the position of enterprises was strengthened and the price system was rebuild. Lately the thesis examines and compares opinions on reform and new economic system of foreign and domestic experts. The goal of the thesis is to discover mistakes and imperfections of implementing of new systém, which could endanger its functioning.
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Internal Migration in PRC: function, role and impact on Chinese economy
Čermáková, Zuzana ; Stuchlíková, Zuzana (advisor) ; Procházková Ilinitchi, Cristina (referee)
The purpose of this thesis is to analyze the process of internal migration in Peoples' Republic of China. It focuses on low-skilled rural migrant workers, their overall characteristics, role in the economy and their status within Chinese society. This analysis aims to prove that despite the fact that rural migrants represent an essential element of Chinese economy, and have contributed by a great deal to China's economic take-off, they are still a very discriminated group of Chinese society and are constantly facing violations of their rights.
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The influence of selected ECJ judgements on the forming of common commercial policy of EU
Vicherek, Ondřej ; Bič, Josef (advisor) ; Procházková Ilinitchi, Cristina (referee)
The goal of my diploma thesis is to describe the influence of ECJ decision making on the common commercial policy ("CCP") of EU. Specifically my thesis examines what factors influence ECJ decision making about direct effect of trade agreements implementing CCP. These factors are applied on several treaties, where the court has not yet decided on their potential direct effect and on a present case at ECJ on direct effect of WTO treaties. With regard to the goal of my thesis an important part of my thesis deals with the development of ECJ decision making. Methods applied in my thesis are analysis and comparison of selected judgements that influence the CCP of EU. After proper analysis I found out that the main motiv behind ECJ decision making is that, if the negotiating position of EU is to be deteriorated, the ECJ is likely to find that the treaty does not have direct effect. Other factors are of secondary character. Examining the influence of decision making of ECJ on direct effect of trade agreements is important, because the role of ECJ influences the legal certainty of subjects about direct applicability of international trade treaties.
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Analysis and design of intranet structure
Novák, Miroslav ; Pour, Jan (advisor) ; Šedivá, Zuzana (referee)
Nowadays, Intranet is an inseparable part of every company, notwithstanding of their size or field of activity. Both, in my work and personal life, I often come across different intranets that usually do not get a positive response. But they usually have the same source of the problem, which is based on their wrong structure. This is why is chose this topic for my thesis. The goal of my thesis is to perform an analysis of an existing intranet of a particular company and subsequently create a design of the intranet new structure using the card-sorting method. This thesis primarily represents a generalized method of how to proceed during such realization and which areas to look into. Theoretical part of this thesis covers the topics of information architecture and also the term intranet itself, where the most frequent issues I came across in the intranets are pointed out. Practical part covers the analysis itself, where I focus on the structure of the existing intranet, categorization of its content, connections with other systems, customization, permission management, surveys of contentment, and intranet usage. The analysis is performed manually by scanning through the existing intranet of the company, since other methods or approaches could not be applied due to technical limitations or insufficient permis-sions. Based on the outputs of the analysis, web categorizations and the card-sorting method, a design of a structure of the new intranet has been proposed. The design itself is a demonstration of the method how to approach the new intranet design.
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Role of the chancellor in the foreign policy of the Federal Republic of Germany: Angela Merkel
Farská, Kateřina ; Druláková, Radka (advisor) ; Dubský, Zbyněk (referee)
This master thesis is concerned with the role of the chancellor in the foreign policy with respect to the institutional possibilities that the German political system provides him, and also with respect to the personality of the chancellor - it strives to answer the question, if it is possible to identify the personality impact in the chancellor foreign policy positions. As the case example the current chancellor Angela Merkel has been chosen, who serves for a period long enough to carry out the research and who is at the same time well-respected personality abroad. The thesis comes to the conclusion that the chancellor has the rights to intervene in the foreign policy and uses those rights. By means of the discourse and content analysis of chancellor's speeches it has been possible to identify foreign policy preferences of the chancellor which can be associated with her personal life experience.
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Řízení IS/ICT se zaměřením na sourcing služeb informačního systému
Šebesta, Michal ; Voříšek, Jiří (advisor) ; Havlíček, Zdeněk (referee) ; Příklenk, Oldřich (referee) ; Král, Jaroslav (referee)
Research on outsourcing has been around for several decades, while recent evolution in the information systems discipline towards ICT service commoditization significantly changes the context of decision-making. Services that are available on-demand via the Internet allow organizations implementing functions they demand in a fraction of time. This trend represents a chance for organizations seeking to use advanced ICT services without a need of major investments. Problem is the current lack of guidelines and tools for managing ICT services and their outsourcing. Given the trends on the ICT service market, it is expected that much of the IT management in the future will encompass the ICT services and utilize service-level structures. Methods currently available are either too broad or encompass only small part of the whole problem. Ad-hoc or unsound decisions in this area might cause major complications in terms of quality, usability, integration, and consequently influence total cost of organizational IT. Organizations need to either revise existing models or propose and implement completely new models to manage their IS/ICT. This thesis deals with the management of IS/ICT with focus on the ICT services outsourcing. It discusses available sourcing models in the literature and links them to the various interconnected areas. Based on these areas, it presents an integrated view on IT outsourcing strategies. Most importantly the thesis proposes an original concept for decision-making about outsourcing of ICT services named the SOURCER framework. This approach utilizes the presented outsourcing strategies, and introduces a complex methodology and decision-making criteria that will assist organizations with selection of ICT services in order to maintain and manage a most suitable ICT service portfolio. The decision-making is based on four essential viewpoints: function, costs, time, and quality. These viewpoints are discussed, individually analyzed, and serve as a basis for further research. The whole framework is developed and validated according to Design Science Research Methodology (DSRM). Individual components are evaluated using a survey among a group of selected IT managers. Proof of concept is then established by a case study on framework use in a real organization. This case study covers strategy specification, business--IT alignment, specifying service architecture and its interconnections, outsourcing, and management of the ICT service portfolio.
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Information systems security penetration testing
Klíma, Tomáš ; Doucek, Petr (advisor) ; Čermák, Igor (referee) ; Čapek, Jan (referee) ; Štubňa, Ivan (referee)
The aim of this dissertation thesis is to develop new methodology of information systems penetration testing based on analysis of current methodologies and the role of penetration tests in context of IS/IT governance. Integral part of this aim is evaluation of the methodology. The first part of the thesis is devoted to the presentation of history and current state of research in selected area, definiton of basic terms and introduction of role of the penetration tests. This part is followed by the review of relevant sources and comparative study of current methodologies with a goal to identify their weaknesses. Results from this study are further used as a basis for new methodology development. Classification of IS penetration tests types and testing scenarios are also included. The second part includes design of new methodology, at first its history, structure and principles are presented, then its framework is decribed in high level of detail. In the third part the reader can find (theoretical and practical) validation. The biggest scientific contribution is the methodology itself focused on managment of penetration tests (which is the area currently not sufficiently descibed). Secondary contribution is the extensive review and the comparative analysis of current methodologies. Contribution to the economic and technical (practical) application we can mainly see in the development of new methodology which enables companies to improve management of penetration tests (especially planning, operational management and implementation of countermeasures).
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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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