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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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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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Investment Decision Making of State and Local Governments
Kula, David ; Fotr, Jiří (advisor) ; Ochrana, František (referee) ; Potluka, Oto (referee)
The topic of this dissertation thesis is collection, analysis and evaluation of information about investment decisions making within public administration bodies. The investment decision making is examined in relation to allocation of public funds on investment activities and projects. The main goal of this thesis is to analyze and evaluate the current status of the investment decision making within the public sector. Subsequently the goal is to offer new or updated knowledge related to these issues, and bring recommendations to improve the investment decision making of public administration bodies. At first, there are described current knowledge in the field of investment decision making. This is followed by an analysis of assessment methods used for evaluation and selection of investment projects. The work is completed by recommendations for investment decisions making in the form of a normative model. The model should increase benefits of public investment expenses for society. There are used data obtained through a questionnaire survey of 430 subsidized firms, 169 state organizational units and state funds and 130 cities, boroughs and counties. Another important source of information was secondary data of selected ministries and agencies, legislation and literature.
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Differences between men and women in the Czech labour market
Stroukal, Dominik ; Kadeřábková, Božena (advisor) ; Pavelka, Tomáš (referee) ; Němec, Otakar (referee)
This thesis consists of five articles that apply current world research on labor economics at the Czech Republic and confirms the significant differences between men and women in this market. It shows that gender has a significant influence on the preference on the labor market and, consequently, on employment and health. First, the thesis shows that preferences are relevant determinant of career and then we study the difference in preference of salary for men and women. Subsequently it shows that gender plays a significant role in explaining the relationship between homeownership, and unemployment, as well as unemployment and health. The first chapter was able to demonstrate that the preference for a career has a positive influence on the choice of career. The influence of higher education on prioritizing career proved to be positive and significant. Probability of a career choice is reduced by the presence of children, however, is not dependent on their number, which is contrary to the theory of preferences. The second chapter shows that Czech women prefer more non-monetary rewards than men. It has also been shown that people with university education are same in the preferences of non-monetary rewards regardless of the gender of the respondents, however, compared to the world's research, the Czech higher education increases this preference. It turned out that women prefer risk less than men. The third chapter demonstrates that although the housing market undermines labor mobility and employment in the Czech Republic at the regional level, therefore, that in regions with a higher rate of home ownership is higher unemployment, at the individual level, the owners of housing are unemployed are less likely. The estimates are significantly different for men and women. Men living in owner-occupied housing have a higher likelihood of employment than women. At regional level, however, this thesis shows that the high rate of home ownership increases unemployment for both men and women, in the long run only to women. The fourth chapter showed that men transition to homeownership reduces the likelihood of unemployment next year. For women, this relationship has proved to be insignificant. In addition, as insignificant showed the opposite relationship, the transition from unemployment to the newly acquired home ownership. The last chapter shows that the change in the working status to unemployment will increase in the future probability of worse health. Influence in less than two years, however, proved to be significant. An important conclusion is that men have a significantly stronger relationship between health and unemployment than women.
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Building and use of smaller computer networks
Kyzivát, Marek ; Pinkas, Otakar (advisor) ; Šmejkal, Ivo (referee)
The thesis describes the initial state of the computer network Basic Schools and Kindergartens Ohradní (ZŠMŠ Ohradní) in Prague 4 and then its reconstruction, which I largely contributed. ZŠMŠ Ohradní consists of four pavilions and from one building on the other side of the street. The aim of this study is to assess the initial state of the network and point out the shortcomings that we discovered. We found deficiencies in the operation stress tests, measurements and data cabling overall analysis. Original networks connectivity was 100Mb/s. Together with a colleague, we are network administrators. Furthermore, I am going to introduce a new form of network, which has identified deficiencies improved, by using on newer technologies. I will describe its structure, address allocation, active and passive components, and operated services. New network is capable of 1Gb/s, and its spine is going to be 10Gb/s soon. Benefits of this reconstruction is faster, more stable and more modern network that will facilitate the work of employees of ZŠMŠ Ohradní. To these improvements, I have mainly contributed by measurements. I participated in the design and implementation of new form of data network. I collaborated with fellow Poc to the configuration of active elements and network services in reconstructed network.
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Design of processes of business department in IT company and measuring their performance
Schütz, Martin ; Oškrdal, Václav (advisor) ; Bruckner, Tomáš (referee)
The thesis deals with design of new processes of business department in IT company which provides server hosting, web hosting and domain registration services. These processes come from identification and analysis of current processes and the theory of business department management. Key Performance Indicators (KPIs) were set for selected processes which can be used for managing the company as a whole. Models of processes were created due to EPC notation. New processes were designed to continuously create data in CRM information system providing evidential and information support necessary for business department management, including the possibility of measuring its performance. Processes also automatize often repetitive activities and provide relevant information to other affected business units within the company. Contribution of the thesis lies in results of analysis of current identified processes containing solution proposals of discovered problems and newly created process models. Both can be used as a pattern for optimization of current processes in already existing organization or for designing new process models in new organization in the same or similar field of business.
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