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The Founders of Post-Keynesianism and the Concept of Reswitching
Kraffer, Robin ; Potužák, Pavel (advisor) ; Chytilová, Helena (referee)
The thesis deals with the evolution of thoughts of Joan Robinson's, Nicholas Kaldor's, Piero Sraffa's and Luigi Pasinetti's with regards to the issue of reswitching. Discussing Robinson, Kaldor, and Sraffa, it addresses the importance of the discussion on imperfect competition and Keynes's theory for developing their opinions within the capital theory. This issue was challenged in the 50s by Robinson who asked how capital can be measured. She discovered an option of reswitching to a more capital-using technique during a wage increase, but she did not focus on it very much. The thesis also seeks the importance of Sraffa's solution to the invariant standard of value for developing the debate on reswitching the technologies in the 60s, which was joined by both Pasinetti and Robinson. However, Robinson refused again in the 70s to deem the reswitching important within the critique of the neoclassical theory, and thus joined Kaldor who had voiced similar thoughts. At the end of the thesis, the question of Robinson underestimating the importance of reswitching, as pronounced by Pasinetti, is answered - she underestimated it in the 50s, whereas it is impossible to give a clear answer when it comes to the 70s, despite the differences found among Post-Keynesians and Neo-Ricardians.
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The value of life from macroenomic point of view in United States of America, Czech republic and Russia between years 2007-2014
Antoš, Michal ; Zeman, Martin (advisor) ; Brabec, Petr (referee)
The subject of this bachelor thesis is the research of the value of life calculation in the Czech republic, United states of America and Russia in 2007-2014.The main purpose is to analyze and compare values of life and major factors influencing them. The hypothesis is that value of life differs in selected countries due to distinctions of sections influencing them. The theoretical part is devoted to sections directly or indirectly influencing values of life, and then analyzing and comparing them together within the selected countries. The selected sections are education, health care, labor market, inequality and living standards. The practical thesis approach is to calculate the values of life for the individual states. The values of life are calculated for so called, representative individual, who is 40-years old citizen of selected country. In the period, in which is the value of life calculated, the retirement age and life expectancy are also considered in formula. Calculated values are examined and the economic and political measures are offered to the states, which can turn into significant increases in the value of life in future.
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Who is buying luxury Czech fashion?
Hříchová, Monika ; Špecián, Petr (advisor) ; Máslo, Lukáš (referee)
This bachelor thesis is looking for the determinants of buying luxury fashion by Czech designers. The main conclusions of worldwide studies are examined based on data provided by the designers. Customer information were provided by companies Veršatyl and One Life. Qualitative data from the Veršatyl brand are examined using descriptive statistics. Data resulting from the purchase statistics from the One Life brand are converted into numerical values and investigated using regression analysis. The most important determinants when buying luxury Czech fashion include the quality of the product and its manufacturing.
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Global value chains in the coffee industry focused on Vietnam
Klumparová, Adéla ; Vlčková, Jana (advisor) ; Hnát, Pavel (referee)
Aim of this diploma thesis is to describe functioning of global coffee value chains and this knowledge then apply to the coffee industry in Vietnam which serves as a case study. The introductory chapter focuses firstly on institutional background of value chains, processes and management processes used in the agricultural industry. The thesis also contains analysis of global coffee value chain, including the identification of entities engaged in the chain and their contribution to the creation of added value. Next chapter describes the development of the world coffee market and production of the world's major producers and exporters of coffee. The thesis also deals with the topic of economic and social sustainability and the impact of global value chains on the environment. Final part of the thesis concentrates on the position of the coffee industry in Vietnam, its structure and development over the past 40 years. Attention is paid also to a problematic position of small growers or to the opportunities of the development of the local coffee industry.
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The Effect of System of Financial Reporting on Financial Performance of Business Corporation
Prokešová, Gabriela ; Strouhal, Jiří (advisor) ; Roubíčková, Jaroslava (referee)
This thesis deals with the effect of system of financial reporting on financial performance of business corporation. Czech accounting regulations and International financial reporting standards are compared within the framework of system of financial reporting. The effect on financial performance is then analysed through financial analysis. In theoretical-methodological part the terminology, approaches and methods used in individual systems are defined and then comparative analysis is performed. Theoretical definition of financial analysis follows and then basic information about business corporation is mentioned, which begins the practical part. Then financial analysis of the firm is performed whereas data are analysed separately for every system. The purpose of this thesis is to point out different values of indicators of financial analysis coming from differences of analysed systems of financial reporting through concrete business corporation and to explain their cause.
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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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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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Data Mining for Effective Customer Communication
Madhi, Simona ; Šperková, Lucie (advisor) ; Novotný, Ota (referee)
The aim of this paper is to describe and illustrate benefits of using Data Mining for effective customer communication. The objective is to perform a Data Mining analysis in order to achieve results with potentially beneficial influence on the company s relationship with its customers, while using the KNIME Analytics Platform tool. The paper introduces the theoretical aspect of Customer Relationship Management, Data Mining and the opportunities of using Data Mining to improve CRM; followed by a market analysis of available Data Mining tools and the introduction of the KNIME Analysis Platform. Furthermore, the knowledge thus reached is used for the performance of real data analysis with the aim of reaching customer knowledge that would be appropriate to use within CRM strategy and finally to positively influence the value of customer relationships.
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The proposal of CRM strategy in selected company
Gorolová, Pavlína ; Koliš, Karel (advisor) ; Kociánová, Jana (referee)
This thesis discusses the philosophy of customer relationship management. Main goal of the work is to analyze the processes in a specific company and to recommend a solution for customer relationship. Thesis is divided into three parts. Theoretical part presents readers with basic concepts of customer relationship management, its principles, development and strategy. Furthermore, pays attention to customer and their value. Methodical part defines the method of analysis, which is applicated in practical part. Practical part is focused on a specific company, on its introduction, history and analysis of internal and external environment. In conclusion of this thesis individual recommendations and improvement proposals are listed.
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