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Availability of pharmacies in the South Bohemia
SCHLÖGELOVÁ, Lenka
The thesis focuses on availability of pharmacies in the South Bohemia. In the following chapters are comprehensive theoretical solutions, analysis of the literature and the setting hypotheses. Another part of the thesis deals with the methods,that are used to make an analysis of the availability of the pharmacies using geographic information systems. The last chapter ,,Analysis of the availability of pharmacies" deals with the placement of pharmacies on the South Bohemia, the operators of the pharmacies, availability of the catchment communities, the time availability, map and tabular outputs.
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Analysis of Book Publisher's Marketing Tools
Gruberová, Laura ; Pešek, Ondřej (advisor) ; Hanzlík, Jan (referee)
This Master's thesis entitled Analysis of Book Publisher's Marketing Tools focuses on the Czech book market and marketing tools that are currently used by book publishers. The aim of the work is to evaluate marketing tools of the specific Czech book publisher based on qualitative research and suggest possible improvements in their use. The theoretical part contains definitions of basic concepts in the field of book publishing and book marketing, which serves as the basis for the practical part. The practical part deals with the analysis of marketing tools of book publisher Argo, presents pros and cons of these instruments and in the end, brings suggestions for their improvement. This part of the thesis is based on marketing situation analysis, on analysis of available data on publisher's activities and on an interview with one of its writers. This thesis is primarily valuable for book publishers and sellers, who can obtain information about possible marketing tools. For book readers, this thesis is particularly interesting in terms of obtaining information about how marketing tools can help them in the selection of books.
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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.
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Comparison of Market and State Organized Public Transport in the Czech Republic Between 2000 – 2015
Hervert, David ; Pikhart, Zdeněk (advisor) ; Vebrová, Ludmila (referee)
Content of this bachelor thesis deals with a comparison of market and state access to public transport from a national economic perspective. Public transport in the Czech Republic between the years of 2000 and 2015 is analysed before the actual comparison is made. The theoretical part deals with available products of public transport, transport demand, market and government failure, entrepreneur theory and information function of prices. Different types of public transport are analysed and compared in the practical part. Additionally, an analysis of public transport in the USA is made and then compared with public transport in the Czech Republic.
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Development of POS system application with support of EET for retail trade
Nguyen Manh, Tho ; Pavlíčková, Jarmila (advisor) ; Bruckner, Tomáš (referee)
The goal of this thesis is to design and develop an application software for the POS system. The main criterion of the developed system is to support online registration of sales, which meets the requirements stated by the Act no. 112/2016 Coll., on Registration of Sales. In this thesis the POS system is designated to support processes of retail trade. The theoretical part focuses on the description of the POS system and its components. To solve the issue of online registration of sales, an analysis of the legislation and the market with the POS systems was made. The thesis also presents an analysis of the processes and requirements, a solution design and the implementation of applications based on Java. To test the functionality of the developed application a test case was used. The final chapter summarizes the content of the thesis and outlines possible future developments. The output of this paper is a functional POS application, which will be available for download under open-source license. This paper could also serve as a business guide to understand the topic of POS systems and online registration of sales.
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Implementation of the Smart Metering Systems in Energetics in Slovakia
Petreová, Adela ; Machek, Ondřej (advisor) ; Tyll, Ladislav (referee)
The goal of the Master´s thesis is to map the actual situation of transformation of power energy sector to smart grid, find answers to some of the major questions concerning the implementation of smart metering systems, evaluate societal and economic costs and benefits, evaluate trends in legislation, compare the situation in Slovakia with other peer countries from the European Union, and create a follow-up recommendations for Slovakia based on this assessment. The thesis includes detailed critical analysis of the CBA, originally created for Slovakia, using benchmarking with countries with a different calculation approach. The used methodology in this work is a research of available resources, qualitative research of case studies, break-down of the CBA, and expert research through interviewing. The outcome is evaluation of economic and societal contributions of smart metering systems and mapping the process and state of the implementation.
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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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Plan for improvement of internet marketing of chosen engineering company
Pokorný, Zdeněk ; Hinčica, Vít (advisor) ; Olšanová, Květa (referee)
The objective of this bachelor thesis is to evaluate the contemporary usage of internet marketing by company POKORNY, spol. s r. o. and at the same time to suggest its possible further development. Within contemporary usage of internet marketing is analysed company's website on the basis of its overall quality, content and its statistical values. In connection to company's website is subsequently analysed its optimization for search engines as well. Furthermore the thesis analyse usage of 2 social networks, which are Facebook and LinkedIn. Afterwards the thesis suggest possible further development of company's internet marketing which includes recommendation to eliminate discovered current deficiencies and suggestions to start using new available tools. The result of these recommendations should be better competitiveness of the company.
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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.
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