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Determinants of Industrialization in sub-Saharan Africa and Possibilities for their Development
Sejkora, Jiří ; Jiránková, Martina (advisor) ; Šaroch, Stanislav (referee) ; Fárek, Jiří (referee) ; Adamcová, Lenka (referee)
Sub-Saharan economies need structural changes that would enhance their productivity, increase economic growth and development. In this regard, industrialization plays a key role. Using regression analysis, the aim of this dissertation thesis is to identify main factors (determinants) of industrialization in sub-Saharan Africa. The results indicate that infrastructure and economy size (measured by population size) represent main determinants of industrialization in the region. The thesis also deals with possibilities for development of those determinants. Case study of infrastructure development in Mauritius emphasizes privatization, cooperation with external subjects etc. Negative consequences of small economy size can be overcome by preferential trade agreements (under certain circumstances), as shown by analysis of the three smallest economies in the region.
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Proposing the financial performance prediction index for decision support of the hospital management
Hajdíková, Taťána ; Černá, Anna (advisor) ; Lieskovská, Vanda (referee) ; Lazar, Jaromír (referee)
Dissertation thesis deals with the managerial needs in the area of financial health. Managers need a tool to reveal the impending financial failure or to assess the financial quality of the organization. They link their decisions to performance, ability to pay, employee productivity, financial resources and financial risk. In the theoretical part of the thesis it is necessary to explain the non-profit sector and its connection with the hospital environment. It is also necessary to introduce models used both in the Czech Republic and abroad, which share common elements. The basic aim of this thesis is to propose a financial performance prediction index for decision support of the hospital management, the owners of hospitals and insurance companies. To achieve the basic goal, three sub-goals must be accomplished. The first goal is to divide the hospitals into healthy and unhealthy by using the multi-criteria methods. The second goal is, based on an expert approach with the support of statistical methods, the selection of indicators appropriate for the hospital environment and the third goal is to find a suitable method for the determination of weighted representation of individual indicators in the proposed index and to assemble the final form of the new financial index for the hospital environment.
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Work-life balance
Maturová, Inha ; Šmíd, David (advisor) ; Legnerová, Kateřina (referee)
This bachelor work focuses on adaptation process of new employees in a particular company. The goal is determination of adaptation process and comparison with needs of the company on onboarding field. A few methods of quality research were used in application part. The first one is analysis of internal documents related to adaptation process. The second is application and analysis of structured inquiry of head of human resources department of the company. Application part of the work brings evaluation of analysed adaptation process.
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Greek debt crisis
Krídlová, Adriána ; Žamberský, Pavel (advisor) ; Jedlinský, Jakub (referee)
Bachelor thesis deals with the evolution of the Greek debt crisis and is trying to best describe on the historical context, what led to it gradually. It deals with the history to the emergence of crisis and then focuses on crisis period between 2009 to 2015. The aim is to determine whether the latest rescue package was based on objective requirements of the Greek economy. The first chapter deals with the process of macroeconomic indicators and is also dedicated to the low competitiveness of Greece. The second chapter discusses the history of Greece until 2009, which can be regarded as the beginning of the debt crisis. The third chapter deals with the evolution of the crisis from 2009 to 2012. In the fourth chapter, I analyze the conformity of a Memorandum of Understanding with the real needs of the Greek economy to its recovery.
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Multidisciplinary care in hemodialysis centers.
VYHLIDALOVÁ, Mária
It is inconceivable for only one person to take care of ill people in a health care. To achieve the aim which is in particular maintenance of the highest life quality of specimens in health or in disease, is important mutual cooperation of professionals in the branch, where every single ensure care for a patient on the basis of his own knowledge and skills. It is about team co-operation, where every single member of the team has his own obligations, but also rights and authority. The term multisiciplinary care means co-operation of more scientific branches. Hemodialysis patients'nursing care is about team of professionals, who are fully involved in satisfying patients' needs. This co-operation enables primarily the unitary communication, reduction of patient's issue analysis, unified and consecutive nursing care, complete documentation and quality evaluation of provided nursing care of these patients. The aim of the dissertation was to chart multidicsiplinary care's issues at hemodialysis, on the basis of available literature. The dissertation is based on theoretically processed topic by the method of documents' content analysis and method of review and synthesis. Information is obtained from domestic but also foreign science books, scientific magazines, and internet sources. Findings from the 42nd international conference EDTNA/ERCA, which topic was Innovation of renal care through multi-professional leadership, which took place in Malmö, Sweden, from 31st of August to 3rd of September 2013, also contributed. The dissertation is divided into three basic chapters. The first part is focused on team characteristic. There are definitions, types, features, building, composition, roles, conflicts within a team and elemental description of multidisciplinary co-operation. The second chapter deals with a history and hemodialysis as a medical extracorporal method. The third, and the broadest section, is focused on multidisciplinary co-operation at the centre of hemodialysis. It is divided into several sub-chapters. In each of them the information descend from general field to concrete needs of hemodialysed patient and continue to the description of each member of a multidisciplinary team. The result is comprehensive view on provision of multidisciplinary care in the centres of hemodialysis. The output of the dissertation is a draft of the nursing care algorithm within the purview of multidisciplinary care at the centres of hemodialysis. Multidisciplinary care is necessary requirement for assumption of effective, high quality and continuous medical and nursing care at all the centres.
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Transformation of Network Data Reporting Process
Tolar, Tomáš ; Matuštík, Ondřej (advisor) ; Malinová, Ludmila (referee)
This thesis deals with transformation of network data reporting process in a Telecom company. The current process is MS Excel based and is inadequate and inefficient. The goal is to find the right tools and to implement them. The thesis is divided into three parts. First part is focused on theoretical background of reporting, i.e. Business Intelligence and other approaches. Second part explains general Network reporting principles and trends. In contrast with these theoretical recommendations, the actual level of the company's process is depicted. The last part of this thesis covers a practical implementation of selected applications. First, a choice is made within a variety of tools based on department's needs then the architecture is proposed and applications are implemented. The final part of the thesis provides an assessment of the benefits attained by this project.
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Possibilities of Big Data use for Competitive Intelligence
Verníček, Marek ; Molnár, Zdeněk (advisor) ; Šperková, Lucie (referee)
The main purpose of this thesis is to investigate the use of Big Data for the methods and procedures of Competitive Intelligence. Among the goals of the work is a toolkit for small and large businesses which is supposed to support their work with the whole process of Big Data work. Another goal is to design an effective solution of processing Big Data to gain a competitive advantage in business. The theoretical part of the work processes available scientific literature in the Czech Republic and abroad as well as describes the current state of Competitive Intelligence, and Big Data as one of its possible sources. Subsequently, the work deals with the characteristics of Big Data, the differences from working with common data, the need for a thorough preparation and Big Data applicability for the methods of Competitive Intelligence. The practical part is focused on analysis of Big Data tools available in the market with regard to the whole process from data collection to the analysis report preparation and integration of the entire solution into an automated state. The outcome of this part is the Big Data software toolkit for small and large businesses based on their budget. The final part of the work is devoted to the classification of the most promising business areas, which can benefit from the use of Big Data the most in order to gain competitive advantages and proposes the most effective solution of working with Big Data. Among other benefits of this work are expansion of the range of resources for Competitive Intelligence and in-depth analysis of possibilities of Big Data usage, designed to help professionals make use of this hitherto untapped potential to improve market position, gain new customers and strengthen the existing user base.
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European funds and their usage for logistics projects in Czech Republic.
Číhalová, Denisa ; Jirsák, Petr (advisor) ; Joura, Adam (referee)
The thesis discusses the issue of freight villages and the possible usage of European funds for their construction. The topic is very actual because by the current program period 2014-2020 has appeared change concerning the financial support of multimodal freight transportation. The aim of this thesis is to determine, whether from the production companies operating in the automotive industry exists demand for such a freight villages. Needed information has been obtained on the basis of in-depths inteviews of manufacturing companies located in the region Vysočina.
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Diagnostics for Robust Regression: Linear Versus Nonlinear Model
Kalina, Jan
Robust statistical methods represent important tools for estimating parameters in linear as well as nonlinear econometric models. In contrary to the least squares, they do not suffer from vulnerability to the presence of outlying measurements in the data. Nevertheless, they need to be accompanied by diagnostic tools for verifying their assumptions. In this paper, we propose the asymptotic Goldfeld-Quandt test for the regression median. It allows to formulate a natural procedure for models with heteroscedastic disturbances, which is again based on the regression median. Further, we pay attention to nonlinear regression model. We focus on the nonlinear least weighted squares estimator, which is one of recently proposed robust estimators of parameters in a nonlinear regression. We study residuals of the estimator and use a numerical simulation to reveal that they can be severely heteroscedastic also for data generated from a model with homoscedastic disturbances. Thus, we give a warning that standard residuals of the robust nonlinear estimator may produce misleading results if used for the standard diagnostic tools
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Czech television and it's content for Generation Y
Jůzová, Klára ; KRUML, Milan (advisor) ; Zlatušková, Kamila (referee)
This thesis focuses on the changes the television industry has undergone in recent years. The aim of the thesis is to define a specific audience group and its preferences: the current generation of young people aged between 15 and 35 who belong to the sociological group called "Generation Y". The thesis contributes to knowledge by examining how the public Czech Television (CT) understands and addresses the needs of this specific audience group.
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