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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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Fiscal rules in selected EU countries between 2004-2015: sensible method for consolidation of public finances or fad of politicians?
Veselý, Lukáš ; Strejček, Ivo (advisor) ; Chmelová, Pavla (referee)
The subject of fiscal rules is very topical issue. The rise of public debt in certain developed countries resulted in what is sometimes called "debt crisis". Debt of those countries which is higher than their annual gross domestic product is viewed as unpayable by some economists. The main objective of this thesis has been to prove or disprove hypothesis that the fiscal rules studied in this paper are an effective solution for public finance consolidation. This verification was based on the analysis of fiscal rules functioning in selected countries between 2004 and 2015. As per results of analysis the paper aims to give recommendations for the Czech financial constitution proposal. The actual results of inquiry proved the hypothesis. Well-chosen fiscal rules are the right way towards fiscal consolidation, provided they are observed. Fiscal rules making thus requires an emphasis to be placed on the well-formulated exit clauses altogether with prospective sanctions. The current Czech financial constitution proposal is built on the correctly picked fiscal rule type, although the reference value lacks economic sense and it would not lead, with a high degree of probability, towards fiscal consolidation.
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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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Analysis of success factors of the company
Nguyen Hai, Phong ; Neumaierová, Inka (advisor) ; Petrůj, Šimon (referee)
The main goal of the thesis is to analyze a business project TamTam. The partial aim is to confirm respectively to refut the presumptions that were set by the co-founders of the project. Another goal is to evaluate the feasibility of the current strategic plan. If the current strategic plan shows to be unfeasible, an alternative strategic plan with a different business model will be proposed. The theoretical part describes the methods which are used in the practical part. The practical part analyzes the market with Vietnamese entrepreneurs. The companys financial position will also be evaluated with suggestions for improvement. In the last chapter, an alternative strategic plan is drafted and recommended. Analytical conclusion of the alternative strategic plan is measured against ROE, EVA, net present value and SWOT analysis.
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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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Diversity and intercultural aspects of the functioning of a company
Tetenková, Pavla ; Filipová, Alena (advisor) ; Zeman, Jiří (referee)
The thesis concentrates on culture, its levels and characteristics, including business culture. The first part focuses on cultural diversity and management of diversity in business culture, with emphasis on the related incorrect tendencies, caused by various culturally conditioned biases. The following part considers different aspects of intercultural communication, its possible barriers and the question of intercultural training. The practical part analyses an existing multinational corporation, particularly with regards to its corporate values, practices, corporate diversity and intercultural training. Furthermore, this part is complemented with a study of the culturally conditioned difficulties within the company, the influence of existing cultural differences on employee communication and cooperation, as well as on intercultural training. The outcome of the study are recommendations, which serve as a base for potential modifications of the corresponding company processes.
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