|
Some Results on Set-Valued Possibilistic Distributions
Kramosil, Ivan
When proposing and processing uncertainty decision making algorithms of various kinds and purposes we meet more and more often probability distributions ascribing to random events non-numerical uncertainty degrees. The reason is that we have to process systems of uncertainties for which the classical conditions like sigma-additivity or linear ordering of values are too restrictive to define sufficiently closely the nature of uncertainty we would like to specify and process. For the case of non-numerical uncertainty degrees at least the two criteria may be considered. First systems with rather complicated, but sophisticated and nontrivially formally analyzable uncertainty degrees. E.g., uncertainties supported by some algebras or partially ordered structures. Contrary, we may consider more easy non-numerical, but on the intuitive level interpretable relations. Well-known examples of such structures are set-valued possibilistic measures. Some perhaps interesting particular results in this direction will be introduced and analyzed in the contribution.
|
|
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.
|
|
Options for financing the operational costs of secondary schools
Moníková, Marie ; Marková, Jana (advisor) ; Mach, Václav (referee)
Final thesis analyzes financial sources of operating cost of secondary schools. Theoretical part is paid to competencies of the founder in funding of secondary schools and to competencies of schools head. There are explained technical economic terms from financing of secondary schools. In thesis is described process compilation of budget, summary of cash flow and explained problematic value added tax. Research part of final thesis is based on make survey. In survey I investigated, if schools are using all of the available sources for financing and if they have revenues in the main activity, if they operate an additional activity and in which domain, whether schools are payers of VAT. Survey was based on randomly asked high schools, established by the Region. Practical part of research investigation brings information about problems, which are presented in front of schools problems in financial are. Thesis served summary of allocation of funds high schools and explains the choices of raising funds for secondary schools.
|
|
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.
|
|
Analysis of the bitter spirits category and the perception of the brand Becherovka Original in the czech market
Michelík, Martin ; Machek, Martin (advisor) ; Kolouchová, Daniela (referee)
The aim of the thesis is to analyse the bitter alcohol drinks market and to evaluate the brand image of the Becherovka Original on the Czech market and to suggest appropriate recommendations for improvements in perception of the brand amongst the younger generation of customers. The theoretical basis is defined to understand the terms as customer behavior, consumers buying process, brand elements, brand equity, brand value and brand image. In order to achieve the main objective the primary research was carried out. The research was provided by online customer survey. Based on the collected data the whole Czech alcohol market was analysed, with emphasis on the spirits market, especially on the bitter spirits category. Also, the brands marketing strategy was analysed. At last, the perception of the brand Becherovka Original on the Czech market was analysed. The data for the analysis were obtained by the theoretical basis and by the research. The conclusion contains suggested recommendations for the future prosperity of the brand.
|
|
Application of the Balanced Scorecard in the company ELLA-CS
Cwierz, Jan ; Neumaierová, Inka (advisor) ; Beneš, Oldřich (referee)
Balanced Scorecard belongs to the most prominent managerial tools for performance measurement and strategy management. Aim of this thesis is to describe BSC with emphasis to small and medium enterprises using literature review. Additional supporting tools for strategy formulation are included as well. BSC is then proposed for implementation in privately owned small enterprise in the sector of medical devices. Based on the thorough analysis of the company and its environmental factors operational and strategical performance gaps are identified. Such gaps are then addressed by means of BSC including financial, customer, internal processes and learning and growth perspective. Despite some limitations inherent to SMEs in general introduction of BSC is feasible and could be of value to all company stakeholders.
|
|
Valuation of company Lesní společnost Broumov Holding, a. s.
Sichrovský, Chananel ; Štamfestová, Petra (advisor) ; Toušek, Jan (referee)
The aim of this master thesis is to estimate the value of the company Lesní společnost Broumov Holding, a. s. as of the valuation date 01/01/2016. The thesis consists of two main parts, theoretically-methodological and related practical part. For accomplishing the objective, the strategical and financial analysis were made, also the main generators of the value were identified and scheduled and the financial plan was composed. The valuation itself was realized by three different methods that were afterwards calculated together which resulted into final estimation of the company's value, that reaches 147 024 thousand Czech crowns. The thesis is usable as a full overview of the company's situation and may be also helpful to the owners as a base for price negotiations, in case of potential investor's interest in buying it.
|
|
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.
|
|
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.
|
|
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.
|
guest ::
