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Alternative methods of leading childbirth
PAPAI, Daria Kristina
The topic of my bachelor thesis is "Alternative methods of child delivery". The theoretical part describes the physiological delivery its particular phases and their progression. In addition, I aim to explain what the term alternative birth means, and what it includes. The various alternative positions are described, which can be used to facilitate childbirth, as well as their appropriate use during the particular delivery phases. The theoretical part is concluded by descriptions of pain relief methods, including the description of both pharmacological and non-pharmacological methods. The second part of the thesis is a practical part, summarizes the results of an evaluation research. The aim was to explore the most used alternative methods and to identify the views and experiences of women with alternative methods and aids used during delivery in selected hospitals. Furthermore, the aim was to describe the regions of the Czech Republic in terms of the use of alternative aids and procedures. The hypotheses were formulated based on previous experiences and personal opinions of the author of the thesis. The research sample consisted of women after a spontaneous child delivery in the České Budějovice Hospital and in the Znojmo Hospital. The research was conducted in the form of an anonymous questionnaire survey, using a non-standardized questionnaires. The results of the survey were compiled in tables and the chi-square test was applied as a method for statistical processing and verifying the hypotheses.
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Řízení lidí v multikulturním prostředí
Moryc, Katarzyna Małgorzata ; Dvořáková, Zuzana (advisor) ; Vávra, Radovan (referee)
The main objective of the thesis was to define and analyze key aspects of managerial work in multicultural environment, in one of the Shared Services Center department, of multinational company based in Prague, Czech Republic. Further thesis aimed to define essential competencies of the successful manager and leader driving performance of multicultural department and provides recommendations to improve managerial performance in key aspects of manager s work such as communication, motivation, performance management and cross-cultural leadership. It is argued that presence of intercultural interactions between managers and their subordinates, impacts effectiveness of the managerial performance. Thesis consists of theoretical and practical part. First part of the thesis explores theoretical concepts regarding culture, communication, motivation and leadership with respect to multicultural environment specifics. In the second part, used research methods, conducted research analysis and outcomes are presented. Further in practical part recommendation towards analyzed aspects of managerial work that would lead to higher overall department performance are defined.
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Index ekonomické svobody, případ České republiky
Shrbený, Filip ; Stroukal, Dominik (advisor) ; Máslo, Lukáš (referee)
We have identified number of possible advices for the Czech Republic to improve its rating for both Heritage Foundation and Fraser Institute Economic Freedom Index, which often leads to top 10 countries in the world. These advices range from cuts in government spending, betterment in judicial system, to the establishing healthier environment for startups and advices to combat corruption. We further noticed some divergence between above mentioned indexes and managed to evaluate those indexes, which showed the simplicity yet usefulness of Heritage EFI and flexibility and sensitivity of the Fraser EFI. Weak sides of the research were noted and ideas for further research were given.
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The development of government debt in the Czech Republic from 1993 to 2015
Zeman, Mikuláš ; Klement, Josef (advisor) ; Vebrová, Ludmila (referee)
The aim of this bachelor thesis is to analyse the development of government debt in the Czech Republic from 1993 to 2015 with respect to the development of revenues and expenses of national budget as well as the development of macroeconomic indicators. The thesis is focused on evaluation of the economic policy of respective governments during the period and assessment of the effect of political reasons on the development of government debt. It also comprises a comparison of the situation in the Czech Republic with the situation in certain post - communist states. The theoretical part describes main notions the thesis deals with. Eventually it presents thoughts of selected economists on the economic policy. The practical part carries out analysis of the development of government debt in respective periods focusing on revenues and expenses, and the development of selected macroeconomic indicators. Evaluation of the economic policy of respective governments is also included. In its conclusion the thesis assesses an effect of political reasons on the amount of the government debt in view of relevant theories and hypotheses. The analysis showed that under the studied circumstances only one of the hypotheses became evident, namely that a weak position of the government leads to remarkable budgetary deficits.
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Creation and optimalization Facebook campaign for specific e-shop
Karkošová, Martina ; Zamazalová, Marcela (advisor) ; Stříteský, Václav (referee)
This bachelor thesis Creation and optimalization facebook campaign for specific e-shop is about marketing using of social network - Facebook, focusing on e-commerce Rodinnebaleni.cz. The thesis is divided into theoretical and practical part. The theoretical part is about the Internet marketing, social networks, Facebook and advertising on it. In the practical part I will deal with the creation of an advertising campaign for e-commerce rodinnebaleni.cz on Facebook. Individual results will be evaluated according to the PNO indicator. According to the results we will see how each ad set is effective. The measures for optimalization leading to the highest possible performance of the campaign gonna be established.
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Makroekonomický dopad mateřské (a rodičovské) dovolené ve srovnání České Republiky s Brazílií
Kalkusová, Marie ; De Castro, Tereza (advisor) ; Neumann, Pavel (referee)
This thesis aims to estimate the macroeconomic impact of maternity and parental/paternal leave in the Czech Republic and Brazil. In addition, the thesis stresses out the costs of Czech model application to Brazil and vice-versa. The first chapter brings a theoretical framework. It compares the analyzed policies in both countries and introduces the relevant terms. The second chapter estimates the costs of maternity and parental/paternal leave related to public expenditure and GDP for the years 2005-2014 and brings own simulation model for Czech model application to Brazil and vice-versa. The third chapter analyses the inefficiencies and suggest possible mitigation. The results show the costs of 0.71% of GDP and 1.66% of public expenditure in the Czech Republic and 0.50% GDP and 2.27% of public expenditure in Brazil in 2014. The Czech model applied in Brazil would be very costly and the opposite scenario would lead to the decrease of macroeconomic burden in the Czech Republic. The thesis also analyzes the influence of maternal and parental leave in other areas, such as labor market, where the current structure may penalize Czech women in long term. By this analysis, the thesis contributes to the current debate about the impact, the length and costs of maternity and parental leave.
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Content Marketing for Lead Generation in B2B Educational and Consulting Services
Nykodýmová, Barbora ; Zamazalová, Marcela (advisor) ; Pospíchal, Tomáš (referee)
The aim of this thesis is to acquaint the reader with the issue of content marketing for generating leads and information about potential customers, then to analyze and offer some recommendations for its further use among B2B suppliers of educational and consulting services. The theoretical part discusses three key topics: the specifics of the services and B2B sector; content marketing and the reasons for its inclusion in marketing strategy; and the issue of lead generation as a possible metric of content marketing and sales tool. The practical part of the thesis approaches this topic from the perspective of four representatives of service suppliers, complemented by a point of view of the mediate company IVITERA. This company brings together one of the largest B2B communities in the services sector on the Czech market within its (especially online) media projects. Research was conducted through individual interviews with representatives of all five companies and by an analysis of secondary data, leads and keywords provided by the mediate company.
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Employer branding in Building Industry
Hralová, Lenka ; Bušina, Filip (advisor) ; Havlíček, Karel (referee)
The Master's Thesis is focused on a modern trend in human resource management, employer branding, analysed as a general image of a company as employer, its working conditions and a preference of this company as a stable employer. The main goal is to review the range and relevance of employer branding within Czech building industry based on existing company and comparison with its competition. The first part describes theoretical definitions of employer branding and its instruments. The second part presents the empirical research done in Metrostav a.s., comparison with its competition and a questionnaire between civil engineering students and construction apprentices that was focused on their expectations of future employment in the building industry. In the end of the thesis the research is evaluated and the improvements that would lead to empowerment of employer brand are suggested.
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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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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.
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