National Repository of Grey Literature 23,835 records found  1 - 10nextend  jump to record: Search took 0.77 seconds. 

Development of selected small towns with using available support programmes
VOPELKOVÁ, Marcela
The aim of thesis ,,Development of selected small towns with using available support programmes" is to evaluate the present situation of selected small tors and a proposal for their further development by using available support programmes. The theoretical part of the thesis is focused on explanation of all concepts of these small towns and the practical part includes a analysis of received subsidies and their total evaluation and other potential projects for the development of selected towns with using available support programmes.

Empirical analysis of Okun’s law in Iceland
Zajíček, Zdeněk ; Slaný, Martin (advisor) ; Chytilová, Helena (referee)
This thesis deals with empirical analysis of Okuns law in Iceland. Okuns hypothesis of negative relationship between real GDP and the rate of unemployment is being tested on two models, difference and gap, using OLS estimation. Also there are two filtration methods used (Hodrick-Prescott and Baxter-King) for gap model estimation. The results of all models showed weak relationship of variables, but proved the hypothesis. In the following part, the same procedure is being used on Finlands data, to get comparison of coefficients. Results for Finland showed weaker bond of variables than in Iceland, but the Okuns hypothesis still holds. Last part is focused on finding the sensitivity of rate of unemployment to changes in added value of each economical sector in Iceland using the production approach model. This model gave inconclusive results due to insufficient data available.

External Sources of Finance for Business Projects in the Czech Republic
Kubíčková, Kateřina ; Filipová, Vladimíra (advisor) ; Drozen, František (referee)
This bachelor thesis is focused on external sources of finance for business projects in the Czech Republic. The theoretical framework summarizes the expertise and definitions relating to business, entrepreneurs personality, to legal forms of business and traditional external sources of finance. As the lack of resources or difficult access to traditional sources of capital can sometimes be an obstacle in the realization of a welcome and viable business plan, the second half of the thesis is devoted to alternative options of financing business projects with an emphasis on EU subsidies drawing. Other analysed external sources of finance are the investments of private investors called Business Angels, venture and private equity capital, crowdfunding and at the end preferential credits from banking institutions offered to start-ups or new business projects. The main target of this thesis is to provide an overview of the available external projects funding, to find out how they are going on in the Czech Republic and at the conclusion to assess, what kinds of projects are suitable for every single kind of funding. This thesis could help to entrepreneurs, who do not have enough funds for their idea, to be knowledgeable in current options of external financial sources.

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.

Usage of unstructured data in Business Intelligence
Rakhmanova, Malika ; Šperková, Lucie (advisor) ; Karkošková, Soňa (referee)
The aim of the thesis is to identify the main trends that are occurring in the market of Business Intelligence and related to unstructured data, to describe the possibilities for integrating unstructured data, to clarify what the impact on the company have the results that can be obtained using these solutions and how generally incorporate an analysis of unstructured data into BI. Another aim is to show the current situation of processing unstructured data on the example of BI system. The thesis is divided into several parts. First part is describing of the Business Intelligence area and the basic components of Business Intelligence, as well as identifying market trends. Then, there is the next part: separating the data into structured and unstructured. Here is the part about how you can access and analyse unstructured data and what is their place in BI systems. This is the end of a block of unstructured data and the beginning of a description of the enhanced version of BI. Finally, the current market situation and BI tools, which include unstructured data, are introduced. This section provides an overview of how BI tools approach to analyse unstructured data. Existed literature, professional and freely available Internet resources are used for writing the work. The purpose is to serve as a source of information for quickly orienting in the current situation, to serve as a guide to the world of BI solutions and to show potential users what are the options and functionality of these BI solutions.

The impact of South China Sea dispute on trade relations between China and Vietnam
Nguyen Hong, Viet ; Vlčková, Jana (advisor) ; Hasík, Gabriel (referee)
This bachelor thesis investigates the impact of South China Sea dispute on mutual relations between China and Socialist Republic of Vietnam. Thesis lays great emphasis on the analysis of mutual trading relations. The goal of this work is to find out if the dispute over territory has negative influence on mutual relations and to what extent. Therefore, thesis is divided into 3 main chapters. The introductory chapter describes position and development of each country. Second chapter uses findings from the introductory part for the analysis of political and trade relations of both countries. It focuses on the history of mutual relations and mainly it lays emphasis on current mutual relations. Last chapter of the thesis is dedicated to the issues regarding South China Sea. Motives and causes of this dispute are described in this chapter. It provides a view on the course of this territorial dispute, and also impacts on mutual relations are analyzed. The output of all three chapters helps to formulate following conclusion. Dispute over South China Sea has impact on mutual relations. Predominantly, it influences political relations between China and Vietnam, therefore, this dispute is often mentioned in media. However, according to available data this dispute has not had major effect on trading relations. Mutual trading between both countries went off in dispute period without any limitations and barriers.

Methods of Competitive Intelligence for chemical industrial companies
Lisová, Martina ; Molnár, Zdeněk (advisor) ; Kocánek, Marek (referee)
The content of this thesis is the introduction of Competitive Intelligence and its methods to companies in the chemical industry. The main objective of this work is to create particular solution of Competitive Intelligence for Lovochemie, a.s., i.e. to propose competent employee who will be periodically monitor the selected information resources using Competitive Intelligence software tools. The analyses were used to achieve this objective. At first analysis of the chemical industry was conducted in the Czech Republic and also in the world and analysis of the selected company has been created. Information resources that the company should follow through Competitive Intelligence tools were selected on the basis of this information. The first part deals with the introduction of Competitive Intelligence, intelligence cycle CI, strategic analysis methods and Competitive Intelligence tools for searching and monitoring of information on the Internet. The second part is devoted to the aforementioned analysis. At first the chemical industry is analysed and the world's biggest fertilizers producers are described. This section also introduces the company called Lovochemie, a.s., its competitors, suppliers and customers. In the last part of this thesis, the information resources available to the company and selected Competitive Intelligence tools are described. Finally, the particular solution for Lovochemie is created.

Stomacare nurses and their share in the work with self-help groups of patiens.
ŠŤASTNÁ, Olga
Stoma nurses and their contribution to work with self-help groups of patients. The diploma thesis dealt with the cooperation of stoma nurses with self-help groups of stoma patients in ten regions of the Czech Republic. The aim was to find out if stoma nurses recognize the importance of self-help groups for stoma patients, how their work contributes to self-help groups, if stoma nurses cooperate with self-help groups and if they inform stoma patients about the existence of self-help groups. Another objective was to determine the level of significance stoma patients give to self-help groups. The goals of the work were met. The theoretical section addresses the issues of self-help groups, the history, benefits, risks, stoma nurses and their education. Cooperation between doctors, stoma nurses and the club of patients is also mentioned. The contexts of a stoma - preoperative and postoperative care, nursing care complications, the stoma aids - are involved in the conclusion of the thesis. In the practical section an investigation through qualitative in-depth interviews with stoma nurses on the base of five research questions was carried out. Do stoma nurses consider self-help groups important in the life of a stoma patient? What information do stoma patients ask for when stoma nurses participate in self help groups? What is the cooperation of stoma nurses with self-help groups in individual regions? Do stoma patients take part in activities within self-help groups? Which age groups of patients, according to stoma nurses´ opinion, prefer to work in self-help groups? On the basis of a qualitative research hypotheses were established for a quantitative investigation. This quantitative research survey through questionnaires was conducted in patients with a stoma, also in ten regions. H1: Stoma nurses recognize the importance of self-help groups for patients with a stoma. H2: Stoma nurses cooperate with self-help groups of stoma patients. H3: Stoma nurses inform stoma patients about self-help groups. H4: The biggest benefit of stoma nurses for stoma patients in self-help groups is giving information about the use of aids. H5: Stoma patients consider self-help groups very important. All hypotheses were confirmed. Stoma nurses as well as stoma patients consider self-help groups very important in their lives. Currently stoma nurses cooperate with self-help groups in all regions, they inform new stoma patients about opportunities to take part in self-help groups and do not forget to give advice about aids and stoma nursing, which is the most valuable information for the stoma patient especially at the beginning of treatment. The results were consistent in both investigations and will be offered to individual stoma nurses for improvement of mutual cooperation. And in the regions where self-help groups do not exist yet or are being established, I firmly believe that the results of this thesis will help in self-help groups activities. The research survey has proved that the stoma nurses´ work is meaningful owing to its results and goals. Stoma nurses have a large share of the self-help groups work.