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THE INFLUENCE OF CHILDREN´S IDENTIFICATION WITH THEIR PARENTS ON THEIR FUTURE GENDER ROLES.
ZELENÁ, Dita
The theme of this work was children´s identification with their parents and its influence on their future gender roles.The aim of this work was to describe this influence and make a hypothesis in this field.Children adopt their gender role primarily in a family. A child needs to find a suitable model, ideal to accept his role fully and in a satisfactory mannor.For data collection was chosen a method of a qualitative research, a technique of semi-standard questioning.An observation technique was used at one young family. The surveyed file was chosen by quota selection. On the basis of realized interviews were individual families compared and the particular analysis of those inteviews was made.The hypothesis was made out in fine: the gender role of an individual comes from primary family experiences {--} idetification with own parents. This influence plays the main role in creating gender roles. Besides it play part also some other secondary factors which cause slight changes in those roles. This mechanism causes natural function of human society and its progress.
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Analysis of selected challenges when exporting fast-moving consumer goods from Mexico and suggestion of particular optimization
Kudelová, Jarmila ; Kolář, Petr (advisor) ; Staroba, Jaromír (referee)
This Master´s Thesis deals with the exportation of fast-moving consumer goods from Mexico. The theoretical part explains the concept of FMCG and describes the steps that should generally be followed when exporting FMCG from Mexico. Furthermore, the elements related to maritime transportation are described, because this type of transport of exporting from this country is used most often. Within the specific case of Corona, detailed logistics structure of the export process is displayed. By analysing its operation, the main challenges associated with carriers used for the export are identified and ultimately partial solutions that should be implemented to minimize the occurrence of problematic points are suggested.
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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.
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Differences and similarities on the approaches of buyers from X and Y generations regarding sustainable procurement
Lacour, Maxime ; Štěrbová, Ludmila (advisor) ; Geniaux, Isabelle (referee)
Responsible procurement has become a real challenge for companies following the current trends of Corporate Social Responsibility (CSR) and more and more ethic-oriented customers. Differing from the concept of green procurement this concept of responsible procurement supports the willingness of companies to have ethic and sustainable supplies. The usual criteria in procurement such as price performances innovation terms and time of payment have increasingly been coupled with more ethic-oriented ones. These criteria related to ethics combine both social and environmental responsibilities of suppliers and stakeholders such as energetic savings and the possession of a particular certification. Currently many call for tenders set ecological requirements for suppliers or subcontractors even in non-strategic procurement activities. The goal of this thesis is about comparing this approach to responsible procurement between buyers from the X and Y generation: do they share the same ideas and priorities concerning responsible procurement? For both of these generations are the advantages and drawbacks of responsible procurement similar?
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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.
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INSTITUTIONAL CARE
PAPÁČKOVÁ, Lucie
The aim of this bachelor thesis is to acquaint the reader with institutional care in the Czech Republic, performed in facilities belonging to the Ministry of Health, the Ministry of Labor and Social Affairs, and the Ministry of Education, Youth and Sports. Institutional care is one of the most important measures in which the State may intervene in family relationships. Minors have the legal right to secure a proper education and overall development. If the parents or family are unable to fulfill this legal claim, then the State is obliged to provide the child with an alternative rearing environment, either by assigning the child to the care of individuals or a facility for children requiring immediate assistance, and in the event of a necessity, also the most important measure: imposing institutional care. Priority is always given to individual care before institutional care, either with another individual, guardian, or foster parent. The Act also defines exactly where it's possible to proceed to extreme measures and impose institutional care. Given the severity of this measure, this decision only appertains to courts. No other governmental or non-governmental institution has such authority. This paper is aimed at introducing institutional care and the protection of children in the Czech Republic, especially highlighting the fragmentation of institutional care. The fundamental part of this paper describes the process of imposing institutional care, and especially its implementation in individual institutional facilities, differentiated according to the children's age, their physical and mental abilities, and the reasons why institutional care was decided on. The priority should always be the child's interest and welfare. This work also highlights the shortcomings of institutional care, particularly the lack of cooperation between the socio-legal protection of children and institutional facilities, the limited cooperation between government departments, the lack of suitable family recovery, and the small number of social workers and judges in the field. Finally, I also mention the achievements that brought about the transformation of institutional care, particularly the conversion to small family type facilities, surrounded by a network of services for the families of allocated children, the children themselves, and also other families who find themselves in a difficult situation. Not all children can be placed in foster care, not all families can be recovered. Especially for some older children and those who have gone through a specific life experience (abuse, repeated return from foster families), an institutional facility is an environment where they feel more secure and where they can fulfill their need to belong in a group of peers. In my work, I also want to draw attention to the current system of child care for children and youth, which does not address the period following the departure of young people from institutional care, although the stage of becoming independent is the most important for their future life.
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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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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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Use of Interest Rate Models for Interest Rate Risk Management in the Czech Financial Market Environment
Cíchová Králová, Dana ; Arlt, Josef (advisor) ; Cipra, Tomáš (referee) ; Witzany, Jiří (referee)
The main goal of this thesis is to suggest an appropriate approach to interest rate risk modeling in the Czech financial market environment in various situations. Three distinct periods are analyzed. These periods, which are the period before the global financial crisis, period during the financial crisis and in the aftermath of the global financial crisis and calming subsequent debt crisis in the eurozone, are characterized by different evaluation of liquidity and credit risk, different relationship between financial variables and market participants and different degree of market regulations. Within this goal, an application of the BGM model in the Czech financial market environment is crucial. Use of the BGM model for the purpose of predicting a dynamics of a yield curve is not very common. This is firstly due to the fact that primary use of this model is a valuation of interest rate derivatives while ensuring the absence of arbitrage and secondly its application is relatively difficult. Nevertheless, I apply the BGM model to obtain predictions of the probability distributions of interest rates in the Czech and eurozone market environment, because its complexity, direct modeling of a yield curve based on market rates and especially a possibility of parameter estimation based on current swaptions volatilities quotations may lead to a significant improvement of predictions. This improvement was also confirmed in this thesis. Use of swaptions volatilities market quotations is especially useful in the period of unprecedented mone- tary easing and increased number of central banks and other regulators interventions into financial markets that occur after the financial crisis, because it reflects current market expectations which also include future interventions. As a consequence of underdevelopment of the Czech financial market there are no market quotations of Czech koruna denominated swaptions volatilities. I suggest their approximations based on quotations of euro denominated swaptions volatilities and also using volatilities of koruna and euro forward rates. Use of this approach ensures that predictions of the Czech yield curve dynamics contain current market expectations. To my knowledge, any other author has not presented similar application of the BGM model in the Czech financial market environment. In this thesis I further predict a Czech and Euro area money market yield curve dynamics using the CIR and the GP models as representatives of various types of interest rates models to compare these predictions with BGM predictions. I suggest a comprehensive system of three criteria, based on comparison of predicti- ons with reality, to describe a predictive power of selected models and an appropria- teness of their use in the Czech market environment during different situations in the market. This analysis shows that predictions of the Czech money market yield curve dynamics based on the BGM model demonstrate high predictive power and the best 8 quality in comparison with other models. GP model also produces relatively good qua- lity predictions. Conversely, predictions based on the CIR model as a representative of short rate model family completely failed when describing reality. In a situation when the economy allows negative rates and there is simultaneously a significant likelihood of their implementation, I recommend to obtain predictions of Czech money market yield curve dynamics using GP model which allows existence of negative interest rates. This analysis also contains a statistical test for validating the predictive power of each model and information on other tests. Berkowitz test rejects a hypothesis of accurate predictions for each model. However, this fact is common in real data testing even when using relatively good model. This fact is especially caused by difficult fulfilment of test conditions in real world. To my knowledge, such an analysis of the predictive power of selected interest rate models moreover in the Czech financial market environment has not been published yet. The last goal of this thesis is to suggest an appropriate approach to obtaining pre- dictions of Czech government bonds risk premium dynamics. I define this risk premium as a difference between government bond yields and fixed rate of CZK IRS with the same length. I apply the GP model to describe the dynamics of this indicator of the Czech Republic credit risk. In order to obtain a time series of the risk premium which are necessary for estimation of GP model parameters I firstly estimate yield curves of Czech government bonds using Svensson model for each trading day since 2005. Resulting si- mulations of risk premium show that the GP model predicts the real development of risk premiums of all maturities relatively well. Hence, the proposed approach is suitable for modeling of Czech Republic credit risk based on the use of information extracted from financial markets. I have not registered proposed approach to risk premium modeling moreover in the Czech financial market environment in other publications.
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Analysis of the company environment
Hladík, Ondřej ; Dvořáček, Jiří (advisor) ; Strouhal, Jiří (referee)
This bachelor thesis deals with methods of analysing the company environment and then using these methods on a company Travel Service, a.s. The primary purpose is to determine main factors affecting the market position of this company. Methods used for analyzing the company environment are introduced in theoretical part of the thesis. For analysing the macroenvironment is used PEST analysis and Porter five force model is used for analysing the critical factors of macroenvironment. The thesis include SWOT analysis and recommendations for the company based on the collected informations.
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