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Rights of Immigrants
SOUKUPOVÁ, Eva
The Czech Republic encounters problems of immigration after 1989. At present time there are about 2.5% of foreigners in the Czech Republic. This percentage is amongst the lowest within EU, however the predictions for the future are that the number is going to constantly increase. People come to the Czech Republic seeking better conditions for living and want to start a new life here. Therefore part of the government policy should be securing immigrants with equal access and equal opportunities in the labour market, in relation to health as well as social care. A quantitative research in the form of a questionnaire technique was selected in the practical part. Anonymous questionnaires for immigrants and public were used. The research aimed at immigrants was conducted in institutions engaged in helping aliens in Brno, České Budějovice, Hradec Králové, Plzeň and Prague. Total of 120 questionnaires were sent out. The questionnaire's returnability was 49%. The research set was therefore formed by 59 respondents. Research aimed at public was conducted in České Budějovice, Jindřichův Hradec and in Třeboň. Total of 110 questionnaires were handed out and their returnability was 100%. All questionnaires were evaluated and elaborated into percentage figures. Two goals are set in the thesis. To each of the goals two hypotheses were set. Goal 1: Find out the level of immigrants' knowledge about labour law and related regulations to it {--} health insurance, welfare. Hypothesis No. 1: More than half of the questioned immigrants know their rights. Hypothesis No. 2: More than half of the questioned immigrants know to whom they may turn to in case of problem solving. After questionnaire evaluation the first hypothesis was not confirmed and the second hypothesis was confirmed. Goal 2: Find out the level of public awareness of the law status of aliens living in the area of the Czech Republic. Hypothesis No. 1: More than half of the questioned respondents do not know the alien rights living in the area of the Czech Republic. Hypothesis No. 2: More than half of the questioned respondents know the organizations providing support for aliens living in the area of the Czech Republic. After evaluation of the questionnaire the first hypothesis was not confirmed and the second was confirmed.
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Analysis of the EU regulations in the field of Information and Telecommunication technologies and their effect on the single market
Hart, Ludvík ; Procházka, Pavel (advisor) ; Strejček, Ivo (referee)
The bachelor thesis describes the EU regulations in the field of information and communication technologies (ICT), particularly the Digital agenda for Europe strategy. These regulations are then tested for their influence on the European single market. The major question answered here is whether the EU regulations in field of ICT have a positive impact on the EUs single market. Answer to this question helps us evaluate the ongoing Digital agenda strategy. The impact of the regulations is analysed by induction of the following indicators, international trade, ratio of population buying online, DESI index and NRI index. With this method it is possible to tackle the wide range of fields the Digital agenda covers. I conclude this work with the statement, that European ICT regulations do have a positive impact on the single market, although are problematic due to the slow legislative process and low efficiency in addressing the regulated issue.
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Risk group of persons with disabilities on the labour market in Prague from 2005 to 2015
Hošková, Laura ; Maule, Petr (advisor) ; Lukášová, Tereza (referee)
The theoretical part of the Bachelor Thesis comprehensively illustrates the status and representation of persons with disabilities (PWD) on the current labour market in the Czech Republic. In a general manner, the Thesis looks at the employment policy as well; especially its legislative basis in the legal framework of the Czech Republic and selected EU countries. Furthermore, the legal obligations of employers of PWD and the possibilities of fulfilling the mandatory share of PWD employment are stated. Findings of two qualitative employment studies are presented showing that PWD enter the labour market equipped with specialized competencies, which they are willing to complete by retraining programmes in case of need. The employers perceive the employment of PWD mainly as a financial profit, granted to them by the state; and the legislative conditions are a sufficient incentive for them. The questionnaire survey pointed out that the weakness in the employment of PWD is the lack of part-time jobs, which are highly demanded among them. Therefore the Thesis presents a solution, which could be the creation of shared work positions.
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Business plan. Business in the area of cultivation and processing of lavender.
Třešňáková, Karin ; Zadražilová, Dana (advisor) ; Zadražil, Václav (referee)
This thesis is focused on the business plan in the cultivation and processing of lavender. The aim is to determine whether the plan can be implemented profitably. In the first part, I deal with the formal requirements of business plan, its simplified form LEAN CANVAS, SMART method for determining targets. Another chapter is a marketing strategy and marketing mix. Following the financial plan, which is divided into an optimistic and a pessimistic variant. The second part describes the history of growing lavender, its healing powers and possibilities of use. The third part, its own business plan.
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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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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.
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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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