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Profile of a volunteer of the program Five P
UVÍROVÁ, Kateřina
The Bachelor thesis consists of two parts theoretical and practical one. In the first part I defined the terms volunteering, volunteer, monitoring, and programme Five P. The empirical part is focused on the world-wide programme Big Brothers, Big Sisters, on its evolution, history and last but not least on its realization in the Czech Republic named "Five P". The main aim of the thesis it to evaluate a profile of a volunteer of the programme "Five P". The characteristic of a profile includes age of volunteers, gender, childhood, study field, interests, hobbies, family, personal and current life and last but not least the link between him / her and the programme "Five P". In other words, the goal of the thesis is to create a detailed profile of the people who are likely to become volunteers of this programme. In the empirical part the quantitative research was carried out. The method of questioning was used, in detail a questionnaire technique. The questionnaire consisted of 21 questions 12 close-ended questions, 4 open-ended questions and 4 semi-opened questions. The questionnaire could be divided into 4 parts childhood, identification questions, current personal situation and links with the programme "Five P". In the next part the results of the research are examined. The results were evaluated by descriptive statistics, graphs were employed. Not only the expecting assumptions have been fulfilled, moreover some outcomes are very interesting and unexpected. For example the interesting finding is that 32 interviewees out of 100 work full time. The second interesting finding was an answer to a question "Do you want to have your own children?" Two respondents replied "no" and seven respondents replied "maybe". The reason why this answer is interesting is the fact that the programme "Five P" is focused on children. The following part called "Discussion" deals with the detailed evaluation of the research questions. The final part provides suggestions how the ""Association Five P in the Czech Republic" could make use of the research I have carried out.

Business plan. Business in the area of cultivation and processing of lavender.
Třešňáková, Karin ; Zadražilová, Dana (advisor) ; Zadražil, Václav (referee)
This thesis is focused on the business plan in the cultivation and processing of lavender. The aim is to determine whether the plan can be implemented profitably. In the first part, I deal with the formal requirements of business plan, its simplified form LEAN CANVAS, SMART method for determining targets. Another chapter is a marketing strategy and marketing mix. Following the financial plan, which is divided into an optimistic and a pessimistic variant. The second part describes the history of growing lavender, its healing powers and possibilities of use. The third part, its own business plan.

The Incidence of Suicide Among Alcoholics
LHOTSKÁ, Veronika
For my master thesis, I have chosen the topic of alcoholics' suicide occurrence. There were 1647 people who have committed a suicide in the Czech Republic during the year 2012. Out of the 1647 people, there were 1370 men, and 277 women (ČSÚ, 2013). The deaths of alcoholics are not recorded by the National Evidence Center. The thesis is divided into theoretical and practical parts. The information for the theoretical part was gathered from academic sources. The two examined parts are the suicide commitment in the Czech Republic, and the alcohol consumption. The practical part is simply a primary research that I have done in PL Červený Dvůr. The research had two parts; quantitative and qualitative. The qualitative part was done through interviews with chosen respondents. The quantitative part was done through surveys distributed in PL Červený Dvůr. I have chosen to do the quantitative part first, so that I could choose the right candidates for the quantitative part based on their responses. The interviews helped me to complete the information I was looking for. I have set various goals that I wanted to reach through the research. The main goal was to chart the suicide behavior of alcoholics who are patients of PL Červený Dvůr. In order to reach such goal, I have set partial goals. The first partial goal was to contras the reason that lead the patients of PL Červený Dvůr to try to commit a suicide. According to the results I received, the most common reason for committing a suicide is either unfulfilled love, or the breaking-up with partner. Another goal was to discover the way the patients tried to kill themselves. As the majority responded so, the most common way is to cut the veins while drunk. The third goal was to compare and contrast the different reasons why as well as the ways how to commit a suicide. I have focused on two groups of patients of PL Červený Dvůr; the alcoholics and the toxicants. The alcoholics had proven that the reason why the tried to kill themselves was love, but the toxicants stated that they did it because they simply did not have a reason to live anymore. Both of the groups decided to end their lives by cutting their veins.

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.

The business plan for SnackBag company and its expansion into the foreign markets
Ježová, Jana ; Svobodová, Ivana (advisor) ; Srpová, Jitka (referee)
The aim of this thesis is to create a business plan for the newly established business subject in the health food industry and evaluate the viability of the plan. The plan also includes the choice of the appropriate form of potential expansion into the foreign market. This thesis is divided into theoretical and practical parts. To create this business plan, firstly it was necessary to write down the complex theoretical framework of the basic aspects which are crucial for small and medium businesses. Secondly, it was needed to sum up the general principles of creating a business plan, characterise its structure and mention the most common mistakes and problems that entrepreneurs may encounter. The theoretical part is concluded by a description of the appropriate forms of expansion for small and medium businesses. Based on this theoretical framework the business plan for the company SnackBag was created with the emphasis on the project´s financial calculation. The calculations confirm the business plan as viable. Analysis of the main advantages and disadvantages of particular forms of expansion to foreign markets concludes that the franchise was evaluated as the most suitable for SnackBag.

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.

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.

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.

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.

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.