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Irrationality in the decision- making of an individual as an economic entity in the territory of the Czech Republic
Böhm, Tomáš ; Zeman, Martin (advisor) ; Babin, Jan (referee)
The main objective of this thesis is an in-depth analysis of the decision-making process on issues of economic nature for individuals in the Czech Republic. The degree of rationality occurring in consumer behavior is evaluated based on lessons learned. The theoretical section is concerned with the economic aspect of the decision-making process, which mainly includes knowledge of neoclassical theory, whose basis is the cardinal and ordinal concept of utility maximization. Subsequently there are introduced the alternative approaches to decision making, focusing on the subjective aspects of human reasoning. Using the mutual synthesis of these approaches, the author draws a term behavioral economics, specific elements of which constitute a substantive content of the whole work. The practical section verifies the hypothesis that the decision-making contradicts the theory of rational individual conduct. Data collected through the questionnaire is subjected to analytical procedures by which the stated hypothesis was verified.
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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.
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Differences and similarities on the approaches of buyers from X and Y generations regarding sustainable procurement
Lacour, Maxime ; Štěrbová, Ludmila (advisor) ; Geniaux, Isabelle (referee)
Responsible procurement has become a real challenge for companies following the current trends of Corporate Social Responsibility (CSR) and more and more ethic-oriented customers. Differing from the concept of green procurement this concept of responsible procurement supports the willingness of companies to have ethic and sustainable supplies. The usual criteria in procurement such as price performances innovation terms and time of payment have increasingly been coupled with more ethic-oriented ones. These criteria related to ethics combine both social and environmental responsibilities of suppliers and stakeholders such as energetic savings and the possession of a particular certification. Currently many call for tenders set ecological requirements for suppliers or subcontractors even in non-strategic procurement activities. The goal of this thesis is about comparing this approach to responsible procurement between buyers from the X and Y generation: do they share the same ideas and priorities concerning responsible procurement? For both of these generations are the advantages and drawbacks of responsible procurement similar?
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On possible approaches to detecting robotic activity of botnets
Prajer, Richard ; Palovský, Radomír (advisor) ; Pavlíček, Luboš (referee)
This thesis explores possible approaches to detecting robotic activity of botnets on network. Initially, the detection based on full packet analysis in consideration of DNS, HTTP and IRC communication, is described. However, this detection is found inapplicable for technical and ethical reasons. Then it focuses on the analysis based on network flow metadata, compiling them to be processable in machine learning. It creates detection models using different machine learning methods, to compare them with each other. Bayes net method is found to be acceptable for detecting robotic activity of botnets. The Bayesian model is only able to identify the botnet that already executes the commands sent by its C&C server. "Sleeping" botnets are not reliably detectable by this model.
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Design of methodology of administration and management of issues and its application in chosen organisation
Holub, Adam ; Stanovská, Iva (advisor) ; Novák, Tomáš (referee)
This thesis is focused on design methodology of administration and management of issues, using issue-tracking system. The objective is to create such methodology and deploy it to specific organization. During methodology creation, there were used best practices, acquired from source thesis and authors experiences. In theoretical part of thesis are described approaches, witch is this thesis based on. Then thesis describes what issue-tracking system is and lists mostly used issue-tracking systems. In practical part, the methodology itself is created. At first, target group is described. Then, types of issuse and roles used in issue-tracking system are described. Then is described, how to create lifecycle of issue and how to handle with its attributes. Last part is focused on data reporting from issue-tracking system. Last chapter of practical part describes how to implement methodology to issue-tracking system JIRA.
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Chytrá a udržitelná města v kontextu vědecké a inovační strategie EU
Horniecká, Marie ; Žamberský, Pavel (advisor) ; Procházková Ilinitchi, Cristina (referee)
The thesis explores how the EU support to research and innovation towards urban sustainability is designed, what the existing EU intiatives striving for achieving smart and sustainable cities are. The analysis of theoretical approaches forms the basis for developing the definition of smart and sustainable city for the purpose of this thesis. An overview of the principal EU strategic documents which address urban sustainability together with European networks is provided in order to demonstrate the linkage to the research Framework Programmes. A separate chapter is devoted to the analysis of the most pressing challenges European cities face nowadays. Database of EU funded research and innovation calls and projects is examined (E-CORDA). Calls and projects related to urban areas are identified and juxtaposed with the urban problems. Final recommendations concern with social aspects of sustainability which should be, in the author's opinion, addressed in future EU research Framework Programmes with a particular attention.
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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.
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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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