National Repository of Grey Literature 17,219 records found  1 - 10nextend  jump to record: Search took 1.88 seconds. 

Support Possibilities Export of Services in the Czech Republic
HLADEČKOVÁ, Veronika
The thesis is focused on the area of export support services in the Czech Republic - specifically for the international transport. Its principal aim is analysis of selected company engaged in export of services and proposing specific measures and recommendations for this company from area support export of services in the Czech Republic. Partial aim of the thesis is analysis and evaluation the use of instruments of support export of services in the Czech Republic on business entities engaged in international transport. For filling of partial aim was performed survey by questionnaires. In the analysis of selected company operating in international road transport was performed financial analysis, competition analysis - Porter´s model, STEP analysis, SWOT analysis and finally structured guided interview with company representative. Based on an analysis of selected company was performed proposal specific recommendations for this company from area support export of services in the Czech Republic.

Analysis of selected challenges when exporting fast-moving consumer goods from Mexico and suggestion of particular optimization
Kudelová, Jarmila ; Kolář, Petr (advisor) ; Staroba, Jaromír (referee)
This Master´s Thesis deals with the exportation of fast-moving consumer goods from Mexico. The theoretical part explains the concept of FMCG and describes the steps that should generally be followed when exporting FMCG from Mexico. Furthermore, the elements related to maritime transportation are described, because this type of transport of exporting from this country is used most often. Within the specific case of Corona, detailed logistics structure of the export process is displayed. By analysing its operation, the main challenges associated with carriers used for the export are identified and ultimately partial solutions that should be implemented to minimize the occurrence of problematic points are suggested.

Analysis of the EU regulations in the field of Information and Telecommunication technologies and their effect on the single market
Hart, Ludvík ; Procházka, Pavel (advisor) ; Strejček, Ivo (referee)
The bachelor thesis describes the EU regulations in the field of information and communication technologies (ICT), particularly the Digital agenda for Europe strategy. These regulations are then tested for their influence on the European single market. The major question answered here is whether the EU regulations in field of ICT have a positive impact on the EUs single market. Answer to this question helps us evaluate the ongoing Digital agenda strategy. The impact of the regulations is analysed by induction of the following indicators, international trade, ratio of population buying online, DESI index and NRI index. With this method it is possible to tackle the wide range of fields the Digital agenda covers. I conclude this work with the statement, that European ICT regulations do have a positive impact on the single market, although are problematic due to the slow legislative process and low efficiency in addressing the regulated issue.

The Effects of the New Deal on the social status of Afro-Americans in selected sectors of the US economy
Schwammenhöfer, Tomáš ; Tajovský, Ladislav (advisor) ; Johnson, Zdenka (referee)
This bachelor thesis deals with the effects of the New Deal legislation on Afro-Americans in the 1930s. Specifically, the thesis analytically focuses on the influence of various politician of this program on their social environment within the US economy. For the ease of understanding of whole issue is needed to know the situation of Afro-Americans in the previous decade as well as in the Great Depression. That is the content of the first two chapters. Subsequently there is the outline of the situation leading to the election of F. D. Roosevelt, US President. The last and as well the most important chapter of the whole thesis is devoted to analysis of individual programs and their impact on Afro-Americans. It concludes that the New Deal had both positive and negative influence on this minority, depending on the economic sector and the relevant administration. New Deal generally meant a huge progress in their economic and political affairs.

Risk group of persons with disabilities on the labour market in Prague from 2005 to 2015
Hošková, Laura ; Maule, Petr (advisor) ; Lukášová, Tereza (referee)
The theoretical part of the Bachelor Thesis comprehensively illustrates the status and representation of persons with disabilities (PWD) on the current labour market in the Czech Republic. In a general manner, the Thesis looks at the employment policy as well; especially its legislative basis in the legal framework of the Czech Republic and selected EU countries. Furthermore, the legal obligations of employers of PWD and the possibilities of fulfilling the mandatory share of PWD employment are stated. Findings of two qualitative employment studies are presented showing that PWD enter the labour market equipped with specialized competencies, which they are willing to complete by retraining programmes in case of need. The employers perceive the employment of PWD mainly as a financial profit, granted to them by the state; and the legislative conditions are a sufficient incentive for them. The questionnaire survey pointed out that the weakness in the employment of PWD is the lack of part-time jobs, which are highly demanded among them. Therefore the Thesis presents a solution, which could be the creation of shared work positions.

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.

Business plan. Business in the area of cultivation and processing of lavender.
Třešňáková, Karin ; Zadražilová, Dana (advisor) ; Zadražil, Václav (referee)
This thesis is focused on the business plan in the cultivation and processing of lavender. The aim is to determine whether the plan can be implemented profitably. In the first part, I deal with the formal requirements of business plan, its simplified form LEAN CANVAS, SMART method for determining targets. Another chapter is a marketing strategy and marketing mix. Following the financial plan, which is divided into an optimistic and a pessimistic variant. The second part describes the history of growing lavender, its healing powers and possibilities of use. The third part, its own business plan.

Social housing - comparison of Concept of Social Housing in the Czech Republic 2015-2025 and Austrian social model
Hejduk, Radim ; Krebs, Vojtěch (advisor) ; Barák, Vladimír (referee)
The thesis is focused on social housing - public policy, that is applied in many countries of the EU. Czech Republic is currently trying its implementation. Due to rising household's costs of housing, rising expenses on demand-oriented housing policy in form of housing benefits and difficult to solve social exclusion, social housing appears to be one of the more accessible ways of solution. The goal of the thesis is at first to analyze and evaluate known forms of social housing and its application from the economic perspective, then to form reccomendations for the Conception of Social Housing for the Czech Republic in the period 2015-2025 using comparison to already-existing Austrian model. This text answers the main research question how does functioning model of social housing look like and what are the economic impacts of it on households.

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.

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.