National Repository of Grey Literature 24,969 records found  1 - 10nextend  jump to record: Search took 1.89 seconds. 

Analysis of tourism services in the Jindřichův Hradec region
HÁLA TREJBALOVÁ, Eva
Pointing out importance to level of tourism services was the main object of my bachelor work. First part is oriented to definition fundamental tourist services. Term such as travel trade, tourism, tourist or sightseer, tourism services, marketing and marketing mix are defined. Many analyses were show round. Analysis of region staking out the Jindřichův Hradec region from geographical, economical, social, technological, political and other aspects (stand-points). Analysis of tourism services defines particular services and level of tourism services in surveyed region. Questionnaire investigation was shown round for complete analyses. Each of analyses was worked up and outcome of analyses was executed. Transportation infrastructure is lack of surveyed region. Level of drive way is insufficient. Transport services from Jindřichův Hradec to Červená Lhota are poor. Proposal was made for better offer and improvement magnetism. This proposal suggested frequent bus services from Jindřichův Hradec to Červená Lhota, especially at the weekend and in summer season. Upon this proposal was marketing mix applied. All the work was summarized in conclusion.

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.

Social housing - comparison of Concept of Social Housing in the Czech Republic 2015-2025 and Austrian social model
Hejduk, Radim ; Krebs, Vojtěch (advisor) ; Barák, Vladimír (referee)
The thesis is focused on social housing - public policy, that is applied in many countries of the EU. Czech Republic is currently trying its implementation. Due to rising household's costs of housing, rising expenses on demand-oriented housing policy in form of housing benefits and difficult to solve social exclusion, social housing appears to be one of the more accessible ways of solution. The goal of the thesis is at first to analyze and evaluate known forms of social housing and its application from the economic perspective, then to form reccomendations for the Conception of Social Housing for the Czech Republic in the period 2015-2025 using comparison to already-existing Austrian model. This text answers the main research question how does functioning model of social housing look like and what are the economic impacts of it on households.

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.

Hukou system in China: socioeconomic impacts and reforms
Dušková, Michaela ; Stuchlíková, Zuzana (advisor) ; Procházková Ilinitchi, Cristina (referee)
This thesis covers the topic of hukou system in the People's Republic of China also known as household registration system. The thesis explains how was the hukou system created. In the following part socioeconomic impacts of hukou are analysed. Furthermore the reform process of the hukou system is explained including cases of Chongqing and Shenzhen.

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.

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.

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.

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.