National Repository of Grey Literature 16,605 records found  1 - 10nextend  jump to record: Search took 1.56 seconds. 

Determination market value of company
BRÁZDOVÁ, Nela
The aim of diploma thesis is to evaluate selected company as a whole for its inner purpose. This purpose allocate category value, respectively determination of venture?s market value, which is most often defined as estimated amount for shift assets to the date of evaluation among optional and independent partners. Theoretical part of thesis qualify theoretical problem frame of company valuation. In this part of thesis essential key words, factors and value categories are defined. Part of the problem is also strategic and financial analysis and projection of future reports or financial plan. Last part deals with methods of valuation itself ? methods based on revenue analysis, market and assets. For evaluation purpose has been chosen company BRÁZDA-AUDIT, a. s., which deals with experts activities in field of economics.

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.

The Value of CSR for Czech Consumers
Faradji, Elise ; Štěrbová, Ludmila (advisor) ; Seror, Patricia (referee)
Nowadays consumers purchasing behavior is influenced by new factors such as the social and environmental implication of companies. This is why Corporate Social Responsibility (CSR) is a growing trend which companies need to look after carefully. However implementing an efficient CSR strategy is a complex process for corporations; especially since the core concept of CSR remain quite blurry. The goal of this study is to analyze the perception of consumers towards CSR to find out about the value creation that CSR produce for consumers and its impact on their purchasing behavior. This paper will ultimately help companies to implement their CSR strategy more efficiently. This study aims to contribute by conducting an in-depth analysis of consumers attitudes and behavior towards CSR. If most of researchers are using a quantitative approach this study means to deal with the issue with a qualitative perspective. Indeed twelve semi-structured interviews will support the findings. On top of those practical and physical interviews some theoretical knowledge will be added to the construction of the argument especially to bring a framework that shows the importance of all types of value creation (functional emotional and social). The findings of the thesis emphasize the facts already proven by other researchers; value creation is fundamental to make consumers care about CSR. However the study will show how much skepticism towards CSR can impact negatively consumers purchasing behavior. The research will help companies implementing more successful CSR strategy and develop new solutions to reach customers and influence their purchasing behavior through the creation of value for them.

Valuation of company Lesní společnost Broumov Holding, a. s.
Sichrovský, Chananel ; Štamfestová, Petra (advisor) ; Toušek, Jan (referee)
The aim of this master thesis is to estimate the value of the company Lesní společnost Broumov Holding, a. s. as of the valuation date 01/01/2016. The thesis consists of two main parts, theoretically-methodological and related practical part. For accomplishing the objective, the strategical and financial analysis were made, also the main generators of the value were identified and scheduled and the financial plan was composed. The valuation itself was realized by three different methods that were afterwards calculated together which resulted into final estimation of the company's value, that reaches 147 024 thousand Czech crowns. The thesis is usable as a full overview of the company's situation and may be also helpful to the owners as a base for price negotiations, in case of potential investor's interest in buying it.

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.

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.

Comparison of Diffusion Coefficients in Initial Stages of Mutual Diffusion in Layered Structures Carbon/Ferrite and Carbon/Austenite for Chosen Alloys
Čermák, Jiří ; Král, Lubomír
Coefficients of mutual carbon diffusion were measured at initial stages of diffusion for surface thin layer of carbon/ferrite and carbon surface layer/austenite. The aim of the study was to compare the diffusion characteristics obtained at the present strongly non-equilibrium case with those known for carbon mutual diffusion in cases where the carbon concentration does not exceed the solubility limit in the respective substrate. The second goal was to judge, whether the carbon diffusivity is determined by the structure of the substrate matrix (BCC or FCC). As examples of ferrite substrate, pure Fe and chromium steel P91 were chosen, as an example of austenite substrate, AISI316 was taken. It was obtained that – similar to nearequilibrium case – the carbon diffusion measured close to interface C/austenite is significantly lower compared to carbon diffusion near the C/ferrite. Values of carbon diffusion coefficients in cases C/Fe and C/P91 are close one to another. All carbon diffusion coefficients are much lower than those, reported for near-equilibrium conditions; they approach values measured in carbides.

HYDROGEN ABSORPTION IN A-Co30Fe55B15
Čermák, Jiří ; Král, Lubomír ; Roupcová, Pavla
Hydrogen solved in amorphous alloys (AAs) influences their magnetic characteristics. AAs are also perspective\nas additives that can improve hydrogen storage kinetic in certain types of ball-milled hydrogen storage\nmaterials (HSMs). Therefore, knowledge of hydrogen solubility and hydrogen sorption kinetics in AAs are of a\ngreat importance for aimed design both AAs with optimal magnetic parameters and HSMs with desired sorption\ncharacteristics. In the present paper, amorphous alloy Co30Fe55B15 (an example of the type a-TM1xTM2y Bz ;\nTM - transition metal) was investigated. Hydrogen concentration c H was measured by Sieverts method in\ntemperature interval from T = 150 °C to T = 350 °C under hydrogen pressure p up to 6 MPa. It was found that\nc H was an increasing function of p and its maximum value was typically 0.5 wt.% H2 at 350 °C and 6 MPa.\nHowever, when the alloy was preliminary hydrogen charged (PHC), the pressure dependence of total c Htot in\nthe first absorption cycle(s) is non-monotonous in dependence on PHC conditions. For the sake of comparison,\nthe same absorption characteristics were measured also in Mg2Ni intermetallic that is a common constituent\nin Mg-based HSMs. Comparing Co30Fe55B15 and Mg2Ni, it was concluded that Co30Fe55B15 shows lower\nhydrogen solubility, but much better absorption kinetics.

Highly sensitive analysis of chlorophenols and sulfonamides in waters by electrophoretic focusion on inverse electromigration dispersion gradient with ESI-MS detection
Malá, Zdeňka ; Gebauer, Petr ; Boček, Petr
This work presents a new methodology for high-sensitivity analyses by capillary\nelectrophoresis (CE) with electrospray-ionization mass spectrometric (ESI-MS)\ndetection, based on electrophoretic focusing on an inverse electromigration dispersion\n(EMD) gradient. The technique is based on a robust electrolyte system providing a\ngradient of required properties, suitable for routine analyses of trace amounts of weak\nacids with pKa values between approx. 6.5 and 9. Examples analyses of several\nchlorophenols and sulfonamides are presented, with LODs around 3x10-9 M for spiked\ndrinking water without any sample pretreatment.

Sorption and Stabilization of Metals/Mettalloids by Innovative Synthesized Sorbent Amochar.
Ouředníček, P. ; Trakal, L. ; Komárek, M. ; Pohořelý, Michael
Remediation of contaminated soil which is based on stabilization and immobilization of potential\nhazardous substance by sorption materials has been studied intensively nowadays. Biochar – activated organic carbon belongs to this group of stabilizing agents which can adsorb wide range of contaminants, including metals/metalloids. Surface area of the biochars is quite large in general and functional groups (e.g. COO–) can form chelates or alkaline elements on the surface, which is represented by cation exchange capacity. Altogether with the high pH values (7.00 – 10.00), biochars are quite effective sorbents and can adsorb metals/metalloids from the solution (ground water), especially in acidic soils (in the environments affected by intensive mining activities). Sorption\neffectiveness can be increased (especially for As (V) or Cr (VI) sorption) by modification of biochar by various types of secondary oxides. Innovative sorbent AMOchar (AMO + biochar) has been synthesized currently. The product was prepared by adding of biochar to the reaction solution during amorphous manganese oxide (AMO) synthesis. The AMOchar was formed mainly by Mn-oxalates which had coated surface of the pristine biochar. AMOchar composite was able to remove significantly higher amounts of various metal(loid)s from the solution despite the rather high pH of the material. Sorption effectiveness was high not only in case of Pb (II) sorption (almost 99%), and Cd(II) (51.2%), but also a very high amount of As(V), 91.4%. Additionally, both AMOchar composite was able to reduce Mn leaching. This can avoid potential post-contamination caused by the dissolution of less stable Mn-oxalates as observed in the pure AMO.
Fulltext: content.csg - Download fulltextPDF
Plný tet: SKMBT_22316111113040 - Download fulltextPDF