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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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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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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.
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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.
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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.
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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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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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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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