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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.
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Doing business while studying
Kopecká, Adéla ; Kašparová, Eva (advisor) ; Novák, Pavel (referee)
This thesis is written about factors, which leads people doing business while studiing. It is more actual then ever and it is more and more popular between people. This thesis tries to find out which factors are important, that student starts his/her own business. This thesis is devided to two parts. the first one is teoretical and second one is practical. Teoretical part is about business and motivation. The aim of second part is to identifie and examine factors of motivation doing business, analysis of current situation in Czech republic and analysis of business support also in Czech republic and abroad.
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Employer branding in Building Industry
Hralová, Lenka ; Bušina, Filip (advisor) ; Havlíček, Karel (referee)
The Master's Thesis is focused on a modern trend in human resource management, employer branding, analysed as a general image of a company as employer, its working conditions and a preference of this company as a stable employer. The main goal is to review the range and relevance of employer branding within Czech building industry based on existing company and comparison with its competition. The first part describes theoretical definitions of employer branding and its instruments. The second part presents the empirical research done in Metrostav a.s., comparison with its competition and a questionnaire between civil engineering students and construction apprentices that was focused on their expectations of future employment in the building industry. In the end of the thesis the research is evaluated and the improvements that would lead to empowerment of employer brand are suggested.
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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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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.
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Analysis of Financing Research and Development in the Czech Republic
Vacek, Jan ; Hnilica, Jiří (advisor) ; Sieber, Patrik (referee)
The topic of this bachelor Thesis is an Analysis of Financing Research and Development in the Czech Republic. Research and Development (R&D) plays an important role in improving the competitive ability of the Czech Republic, for it constitutes a source for increasing productivity, economic growth and employment. The results of R&D lead to creation of new products and services, which in return increases the quality of life of the Czech citizens. This bachelor thesis focuses on analysis of financing R&D in the Czech Republic. The objective is to find out who finances R&D in the Czech Republic, where do these funds go to, and what they are used on. This thesis also focuses on R&D employees and R&D departments in which they work. The bachelor thesis is concluded by comparison between the R&D data for Czech Republic and other countries form the Europian Union.
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Strategy of Corporate Social Responsibility in Hilton Worlwide company and its application in local conditions
Švábová, Kateřina ; Mokrejšová, Veronika (advisor) ; Filipová, Alena (referee)
This bachelor thesis focuses on strategy of corporate social responsibility (CSR) in company Hilton Worldwide. The bachelor thesis is divided into two parts. The theoretical part deals with concept of corporate social responsibility, with the philosophy of CSR, its history and the present. This part also defines key words related to corporate social responsibility like CSR, stakeholders, corporate philanthropy, sustainable development, business ethics and corporate citizenship. It also focuses on the important role of communication in general and also in CSR. The practical part introduces the concept and strategy of CSR in the company Hilton Worldwide. This part also presents hotels Hilton Prague and Hilton Prague Old Town and their activities within the CSR. SWOT analysis as strategy tool was used to evaluate the concept and communication of CSR in both hotels. The final results of analyses showed problems in internal and external communication. Based on results of SWOT analysis are suggested solutions and recommendations that should improve understanding and perception of CSR concept in both hotels, improve internal communication for employees, and use all modern communication tools and channels for communicating information about CSR activities. These measures will lead to increased loyalty and strengthening the company's competitiveness.
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Analysis of the marketing activities in nonprofit organization INEX-SDA
Müllerová, Michaela ; Procházková, Markéta (advisor) ; Polcar, Jakub (referee)
The aim of this thesis is to analyze marketing activities of nonprofit organization INEX-SDA and make recommendations relating to the marketing mix which would increase awareness of this foundation and also increase voluntary help from the public. The thesis is divided into two parts. First part deals with theoretical definition of marketing and its specifics related to the nonprofit sector. The theoretical part is followed by a practical part in which organization INEX-SDA and the individual elements of the marketing mix are specified. In this part there was also done marketing research. With the analysis of marketing activities information is obtained which together with the theoretical knowledge leads to recommendations relating to the marketing activities of this non-profit organization. The thesis ends with an overall summary.
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Výběr a implementace open source nástroje pro řízení portfolia projektů
Marek, Jan ; Chlapek, Dušan (advisor) ; Kučera, Jan (referee)
Methods and ways of implementation of changes and innovations in companies through project management are in today's society very well established. There exists methodologies, techniques and tools for the management of individual projects. However in a role of project manager, I very often faced the fact that companies are performing the project portfolio management in very intuitive way. This in itself leads to failed and prematurely terminated projects, initiation of the wrong projects or realisation of correct projects, but at the wrong time. Very often I have also recognized, that there is lack of awareness of fact, that there are also Open Source applications that can help with the organization's portfolio. This thesis deals with the definition of requirements, search and selection of proper OSS application and subsequent implementation. In the first part of this thesis I prepare a theoretical framework about PPM, and on that basis then identify and verify a set of requirements for selection of right OSS PPM application. The next section of thesis describes searching for suitable applications from a variety of sources, assessment against the requirements and the final selection. In the last part the implementation project is drafted, which aims to serve other colleagues in project management as one of the possible implementation paths. The outputs are then continuously confronted with experts in matter of projects and project management in the field of IT in order to maximize symbiosis between theory and real life experiences. Virtually every project management methodology defines the collection of already-proven techniques, best practices or lessons learned from the previous similar implementations. The main contribution of this thesis I see in fact that it contains not only the design of the project implementation, but also describes a logical path, what leads to the result. Therefore this thesis could be used as a base or discussed best practice, when a project of implementation of PPM application in place.
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Modelling, parameter estimation, optimisation and control of transport and reaction processes in bioreactors.
ŠTUMBAUER, Václav
With the significant potential of microalgae as a major biofuel source of the future, a considerable scientific attention is attracted towards the field of biotechnology and bioprocess engineering. Nevertheless the current photobioreactor (PBR) design methods are still too empirical. With this work I would like to promote the idea of designing a production system, such as a PBR, completely \emph{in silico}, thus allowing for the in silico optimization and optimal control determination. The thesis deals with the PBR modeling and simulation. It addresses two crucial issues in the current state-of-the-art PBR modeling. The first issue relevant to the deficiency of the currently available models - the incorrect or insufficient treatment of either the transport process modeling, the reaction modeling or the coupling between these two models. A correct treatment of both the transport and the reaction phenomena is proposed in the thesis - in the form of a unified modeling framework consisting of three interconnected parts - (i) the state system, (ii) the fluid-dynamic model and (iii) optimal control determination. The proposed model structure allows prediction of the PBR performance with respect to the modelled PBR size, geometry, operating conditions or a particular microalgae strain. The proposed unified modeling approach is applied to the case of the Couette-Taylor photobioreactor (CTBR) where it is used for the optimal control solution. The PBR represents a complex multiscale problem and especially in the case of the production scale systems, the associated computational costs are paramount. This is the second crucial issue addressed in the thesis. With respect to the computational complexity, the fluid dynamics simulation is the most costly part of the PBR simulation. To model the fluid flow with the classical CFD (Computational Fluid Dynamics) methods inside a production scale PBR leads to an enormous grid size. This usually requires a parallel implementation of the solver but in the parallelization of the classical methods lies another relevant issue - that of the amount of data the individual nodes must interchange with each other. The thesis addresses the performance relevant issues by proposing and evaluation alternative approaches to the fluid flow simulation. These approaches are more suitable to the parallel implementation than the classical methods because of their rather local character in comparison to the classical methods - namely the Lattice Boltzmann Method (LBM) for fluid flow, which is the primary focus of the thesis in this regard and alternatively also the discrete random walk based method (DRW). As the outcome of the thesis I have developed and validated a new Lagrangian general modeling approach to the transport and reaction processes in PBR - a framework based on the Lattice Boltzmann method (LBM) and the model of the Photosynthetic Factory (PSF) that models correctly the transport and reaction processes and their coupling. Further I have implemented a software prototype based on the proposed modeling approach and validated this prototype on the case of the Coutte-Taylor PBR. I have also demonstrated that the modeling approach has a significant potential from the computational costs point of view by implementing and validating the software prototype on the parallel architecture of CUDA (Compute Unified Device Architecture). The current parallel implementation is approximately 20 times faster than the unparallized one and decreases thus significantly the iteration cycle of the PBR design process.
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