National Repository of Grey Literature 29,298 records found  previous11 - 20nextend  jump to record: Search took 0.88 seconds. 

Možnosti využití sociálních sítí pro podporu podnikání v autoservisech
Mischaniuk, Mykhailo ; Molnár, Zdeněk (advisor) ; Gála, Libor (referee)
The diploma thesis deals with the problem of using social networks in the field of car repair services. The primary aim is to provide the recommendations for businesses in a structured way on how to better utilize these networks to get better competitiveness. This work is divided into three parts. The first theoretical part deals with basic description of networks and their statistics. This part also covers some basic tools that we can use to analyze and maintain social network platforms. The second analytical part deals with competitive analysis in car repair services and gives an overview of the most popular Runet social network platforms. The third practical part provides structured view on all important aspects of social platform maintenance and behaviour. In this section, you can find the description of various views and the recommendations I give to the specific car repair service.

Effective dashboard design in the analytical tasks of IS
Janeczková, Agata ; Šedivá, Zuzana (advisor) ; Pour, Jan (referee)
The thesis deals with analysing and designing an effective dashboard. By way of introduction the topics of Business Intelligence, data storages and data quality are described. Then, an overview of analytical outputs is given and the process of their formation is outlined. The basic principles of an effective design of management reports are described, with emphasis laid on the end user. The thesis focuses on important factors of efficiency, such as applicability of transferred information and the form of their transfer. The practical part concentrates on the improvement of the efficiency of a particular dashboard. Besides the rules of a correct design, knowledge of cognitive psychology is also used for this purpose. Upon an analysis of deficiencies of an existing dashboard, proposed changes are incorporated. Changes resulting in more effective transfer of information via a dashboard are based on a theoretical basis of the previous section.

Comparison of accounting programs from the point of view of the use of information for management companies
Loušová, Petra ; Stejskalová, Irena (advisor) ; Pevná, Jana (referee)
The aim of the thesis is to compare accounting programs from the point of view of the use of information that are important for management companies. The theoretical part deals with the general approach to processing business information in the accounting. Next there is explained an overview of what information in the field of accounting are important and necessary for the job of financial manager. The practical part contains an analysis of at least three accounting programs, with the main focus on what information from the selected accounting program managers need in their work and what information is actually gaining from the program. In practical part, there are also compared results of individual organizations; information is gathered through in-depth interview with financial managers selected companies.

Taxation of Employee benefits in the chosen EU countries
Nguyenová, Phuong ; Rytířová, Lucie (advisor) ; Finardi, Savina (referee)
This diploma thesis aims to compare taxation of employee benefits in particular EU countries and identify their impact on employees and also employers. The main goal is to summarize the procedures that need to be done when dealing with benefits as well as state several suggestions for prospective reader. The thesis is divided into four chapters. First chapter defines employee benefits. Second chapter analyses benefits from employee's and employer's point of view. Third chapter gives detailed overview of benefits' taxation in selected countries of European Union. These countries are the Czech Republic, Slovakia and Austria. Finally last chapter contains several practical examples which show how to proceed when determining the amount of tax, while simultaneously comparing the differences in taxation between countries.

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.

Determinants of Industrialization in sub-Saharan Africa and Possibilities for their Development
Sejkora, Jiří ; Jiránková, Martina (advisor) ; Šaroch, Stanislav (referee) ; Fárek, Jiří (referee) ; Adamcová, Lenka (referee)
Sub-Saharan economies need structural changes that would enhance their productivity, increase economic growth and development. In this regard, industrialization plays a key role. Using regression analysis, the aim of this dissertation thesis is to identify main factors (determinants) of industrialization in sub-Saharan Africa. The results indicate that infrastructure and economy size (measured by population size) represent main determinants of industrialization in the region. The thesis also deals with possibilities for development of those determinants. Case study of infrastructure development in Mauritius emphasizes privatization, cooperation with external subjects etc. Negative consequences of small economy size can be overcome by preferential trade agreements (under certain circumstances), as shown by analysis of the three smallest economies in the region.

Marketing Situational Analysis of a chosen Company
Doležal, Ondřej ; Svoboda, Petr (advisor) ; Čejka, Pavel (referee)
The aim of my thesis is to create an educated description of marketing situational analysis of selected energy company - ČEZ, Inc. The analysis should help the company to better plan its marketing activities and thus succeed in a competitive environment. The theoretical part deals with basic concepts related to marketing as a whole and theoretical background needed for the completion of marketing situational analysis, which includes both PEST analysis, Porter's fice forces analysis, SWOT analysis and marketing mix. Results from those are then applied in practice. The result of each analysis are then formulated into recommendations that should help the company to improve its marketing management.

Usage of unstructured data in Business Intelligence
Rakhmanova, Malika ; Šperková, Lucie (advisor) ; Karkošková, Soňa (referee)
The aim of the thesis is to identify the main trends that are occurring in the market of Business Intelligence and related to unstructured data, to describe the possibilities for integrating unstructured data, to clarify what the impact on the company have the results that can be obtained using these solutions and how generally incorporate an analysis of unstructured data into BI. Another aim is to show the current situation of processing unstructured data on the example of BI system. The thesis is divided into several parts. First part is describing of the Business Intelligence area and the basic components of Business Intelligence, as well as identifying market trends. Then, there is the next part: separating the data into structured and unstructured. Here is the part about how you can access and analyse unstructured data and what is their place in BI systems. This is the end of a block of unstructured data and the beginning of a description of the enhanced version of BI. Finally, the current market situation and BI tools, which include unstructured data, are introduced. This section provides an overview of how BI tools approach to analyse unstructured data. Existed literature, professional and freely available Internet resources are used for writing the work. The purpose is to serve as a source of information for quickly orienting in the current situation, to serve as a guide to the world of BI solutions and to show potential users what are the options and functionality of these BI solutions.

Greek debt crisis
Krídlová, Adriána ; Žamberský, Pavel (advisor) ; Jedlinský, Jakub (referee)
Bachelor thesis deals with the evolution of the Greek debt crisis and is trying to best describe on the historical context, what led to it gradually. It deals with the history to the emergence of crisis and then focuses on crisis period between 2009 to 2015. The aim is to determine whether the latest rescue package was based on objective requirements of the Greek economy. The first chapter deals with the process of macroeconomic indicators and is also dedicated to the low competitiveness of Greece. The second chapter discusses the history of Greece until 2009, which can be regarded as the beginning of the debt crisis. The third chapter deals with the evolution of the crisis from 2009 to 2012. In the fourth chapter, I analyze the conformity of a Memorandum of Understanding with the real needs of the Greek economy to its recovery.

Phishing in the gaming industry
Nguyen Van, Thanh ; Luc, Ladislav (advisor) ; Veber, Jaromír (referee)
This bachelor thesis deals with a currently major issue of cyber security, which is phishing. The study is also specific in that it is focused on the gaming industry, which is subjected to a detailed analysis. The first goal of thesis is to acquaint the reader with problems of security risks of phishing in general and in game related fields. To achieve this goal, in the introduction of the theoretical part of the work, the general problem of phishing with a view on historical development and expansion is presented. Furthermore is described topic of gaming industry, its trends of videogames and security risks of online trading. The second goal is to give future and existing Steam users an overview of common phish-ing attacks and countermeasures. To achieve this goal, in the analytical part of the work, a specific gaming platform in online trading and distribution of game is selected, Steam from Valve. In the practical part of the work, eight selected phishing attacks are conducted to brief analysis and completed into a final evaluation and countermesures of all attacks.