National Repository of Grey Literature 28,982 records found  previous11 - 20nextend  jump to record: Search took 1.99 seconds. 

Innovation activities in Germany in the context of smart specialisation
Vlčková, Markéta ; Vlčková, Jana (advisor) ; Vošta, Milan (referee)
Economic growth is slowing in many countries. It leads to a discussion on what sources of growth should countries focus. For this purpose, EU created the concept of smart specialization, which puts an emphasis on the most efficient use of public financial resources dedicated to research and development. The aim of this thesis is to find out on what industry Germany as a leader of EU innovation and its individual regions specializes and to identify potential areas for targeting resources to innovation, research and development. This will be determined by using the patent network. The secondary objective is to interconnect findings of patenting and analysis of innovation activities in various regions of Germany with international trade and to determine whether there is a correlation between innovation activity in a particular sector and export of the sector's products abroad.

Content Marketing for Lead Generation in B2B Educational and Consulting Services
Nykodýmová, Barbora ; Zamazalová, Marcela (advisor) ; Pospíchal, Tomáš (referee)
The aim of this thesis is to acquaint the reader with the issue of content marketing for generating leads and information about potential customers, then to analyze and offer some recommendations for its further use among B2B suppliers of educational and consulting services. The theoretical part discusses three key topics: the specifics of the services and B2B sector; content marketing and the reasons for its inclusion in marketing strategy; and the issue of lead generation as a possible metric of content marketing and sales tool. The practical part of the thesis approaches this topic from the perspective of four representatives of service suppliers, complemented by a point of view of the mediate company IVITERA. This company brings together one of the largest B2B communities in the services sector on the Czech market within its (especially online) media projects. Research was conducted through individual interviews with representatives of all five companies and by an analysis of secondary data, leads and keywords provided by the mediate company.

Analysis and design of intranet structure
Novák, Miroslav ; Pour, Jan (advisor) ; Šedivá, Zuzana (referee)
Nowadays, Intranet is an inseparable part of every company, notwithstanding of their size or field of activity. Both, in my work and personal life, I often come across different intranets that usually do not get a positive response. But they usually have the same source of the problem, which is based on their wrong structure. This is why is chose this topic for my thesis. The goal of my thesis is to perform an analysis of an existing intranet of a particular company and subsequently create a design of the intranet new structure using the card-sorting method. This thesis primarily represents a generalized method of how to proceed during such realization and which areas to look into. Theoretical part of this thesis covers the topics of information architecture and also the term intranet itself, where the most frequent issues I came across in the intranets are pointed out. Practical part covers the analysis itself, where I focus on the structure of the existing intranet, categorization of its content, connections with other systems, customization, permission management, surveys of contentment, and intranet usage. The analysis is performed manually by scanning through the existing intranet of the company, since other methods or approaches could not be applied due to technical limitations or insufficient permis-sions. Based on the outputs of the analysis, web categorizations and the card-sorting method, a design of a structure of the new intranet has been proposed. The design itself is a demonstration of the method how to approach the new intranet design.

Serverless single page application in JavaScript
Zikmund, Marian ; Pecinovský, Rudolf (advisor) ; Suchan, Vladimír (referee)
The goal of this thesis is to design and develop a framework for building modern single- page application in the JavaScript programming language and describe this approach to development. The work also contains the documentation for a more comfortable use and customization. The content is divided into eight chapters. The introduction is followed by the retrieval of information resources, including the specifics of the JavaScript programming language and explanation of the formation of single-page application. The description of the basic principles of their functioning, motivation and justification, when and why this approach is appropriate is also included. The work is primarily focused on the issue of single-page application, for which the use of the JavaScript programming language is crucial. For this reason, this work provides a whole chapter about this programming language, also including a description of its history and role in the context of others. Below are the common characteristics of single-page applications frameworks, built on top of the library ReactJS, whose formation is engaged in the following chapter. The developed framework also contains the user guide. The practical outcome of this work is an open source framework for creating serverless single-page applications, which is due to its architecture and documentation appropriately adaptable.

The American Foreign Policy with the Middle East : from the earliest days to the Obama’s mandate
Petraud, Jean-Félix ; Eichler, Jan (advisor) ; Dubský, Zbyněk (referee)
The following dissertation is an attempt of analysis and understanding of the foreign policy of the United States in the Middle East region and its evolution through time. Considering the fact that the Middle East region is or at least used to be a vital region for the United States national interests, the dissertation presents an exhaustive list of major events that have been major shifts in the US foreign policy in the region. The more or less chronological timeline allows the reader to have a better understanding of the evolution of the US foreign policy. The result of the dissertation is the identification of different patterns of foreign policy and to put the spot on the reasons of the changes of these patterns. Nevertheless, the history of the Middle East region and the incredible number of major events through the 2Oth century and the early 21st century make impossible to deal with all of them. Moreover, analysis and comments are based on academic research, but the dissertation remains subjective and may lead to discussions and debates.

Marketing plan for selected gastronomic tours
Mokrišová, Kristýna ; Kalábová, Markéta (advisor) ; Petrů, Zdenka (referee)
The topic of this thesis is marketing of gastronomic travel agency. Gastronomic tourism is currently among the tourism trends. Based on the growing potential, in this paper will be presented fictitious gastronomic travel agency selling gastronomic tours. The main objective is to propose a marketing campaign of specific gastronomic tours. The marketing campaign will be set up to address, engage and make customers to purchase offered services. The campaign is therefore able to offer to potential customers exactly what they desire. The marketing approach is not the same to everyone, it reflects the consumer and media behavior of different target groups. Thanks to the proposed campaign the competitiveness of the company will be increased, profit will be gained, it means voluminous sales of offered tours and strong position in the market will be obtained.

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.

Řízení IS/ICT se zaměřením na sourcing služeb informačního systému
Šebesta, Michal ; Voříšek, Jiří (advisor) ; Havlíček, Zdeněk (referee) ; Příklenk, Oldřich (referee) ; Král, Jaroslav (referee)
Research on outsourcing has been around for several decades, while recent evolution in the information systems discipline towards ICT service commoditization significantly changes the context of decision-making. Services that are available on-demand via the Internet allow organizations implementing functions they demand in a fraction of time. This trend represents a chance for organizations seeking to use advanced ICT services without a need of major investments. Problem is the current lack of guidelines and tools for managing ICT services and their outsourcing. Given the trends on the ICT service market, it is expected that much of the IT management in the future will encompass the ICT services and utilize service-level structures. Methods currently available are either too broad or encompass only small part of the whole problem. Ad-hoc or unsound decisions in this area might cause major complications in terms of quality, usability, integration, and consequently influence total cost of organizational IT. Organizations need to either revise existing models or propose and implement completely new models to manage their IS/ICT. This thesis deals with the management of IS/ICT with focus on the ICT services outsourcing. It discusses available sourcing models in the literature and links them to the various interconnected areas. Based on these areas, it presents an integrated view on IT outsourcing strategies. Most importantly the thesis proposes an original concept for decision-making about outsourcing of ICT services named the SOURCER framework. This approach utilizes the presented outsourcing strategies, and introduces a complex methodology and decision-making criteria that will assist organizations with selection of ICT services in order to maintain and manage a most suitable ICT service portfolio. The decision-making is based on four essential viewpoints: function, costs, time, and quality. These viewpoints are discussed, individually analyzed, and serve as a basis for further research. The whole framework is developed and validated according to Design Science Research Methodology (DSRM). Individual components are evaluated using a survey among a group of selected IT managers. Proof of concept is then established by a case study on framework use in a real organization. This case study covers strategy specification, business--IT alignment, specifying service architecture and its interconnections, outsourcing, and management of the ICT service portfolio.

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.