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Marketing communication of commercial insurance companies on social media
Havránek, Jiří ; Gála, Libor (advisor) ; Molnár, Zdeněk (referee)
The diploma thesis deals with marketing communication of commercial insurance companies on social media. The aim of the thesis is to analyze the current state of the communication activities of commercial insurance companies on selected social media. Based on the identified state and detected interest in these communication activities by customers, recommendations are suggested for improvement of communication online commercial insurance companies to support the sales of insurance products. The first section defines the areas of insurance, marketing communication and social media. After that there is identification of activities that companies can perform on social media to increase brand awareness. These activities can be monitored, evaluated and after that optimized. In the second section there is identified the current state of commercial insurance activities on social media and detected interest in these activities from customers by using qualitative research. Based on these findings, draft recommendations are formulated on possible improvements to the current situation. The benefit of this thesis is the identification of the current state of commercial insurance activities on social media.
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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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Use of Interest Rate Models for Interest Rate Risk Management in the Czech Financial Market Environment
Cíchová Králová, Dana ; Arlt, Josef (advisor) ; Cipra, Tomáš (referee) ; Witzany, Jiří (referee)
The main goal of this thesis is to suggest an appropriate approach to interest rate risk modeling in the Czech financial market environment in various situations. Three distinct periods are analyzed. These periods, which are the period before the global financial crisis, period during the financial crisis and in the aftermath of the global financial crisis and calming subsequent debt crisis in the eurozone, are characterized by different evaluation of liquidity and credit risk, different relationship between financial variables and market participants and different degree of market regulations. Within this goal, an application of the BGM model in the Czech financial market environment is crucial. Use of the BGM model for the purpose of predicting a dynamics of a yield curve is not very common. This is firstly due to the fact that primary use of this model is a valuation of interest rate derivatives while ensuring the absence of arbitrage and secondly its application is relatively difficult. Nevertheless, I apply the BGM model to obtain predictions of the probability distributions of interest rates in the Czech and eurozone market environment, because its complexity, direct modeling of a yield curve based on market rates and especially a possibility of parameter estimation based on current swaptions volatilities quotations may lead to a significant improvement of predictions. This improvement was also confirmed in this thesis. Use of swaptions volatilities market quotations is especially useful in the period of unprecedented mone- tary easing and increased number of central banks and other regulators interventions into financial markets that occur after the financial crisis, because it reflects current market expectations which also include future interventions. As a consequence of underdevelopment of the Czech financial market there are no market quotations of Czech koruna denominated swaptions volatilities. I suggest their approximations based on quotations of euro denominated swaptions volatilities and also using volatilities of koruna and euro forward rates. Use of this approach ensures that predictions of the Czech yield curve dynamics contain current market expectations. To my knowledge, any other author has not presented similar application of the BGM model in the Czech financial market environment. In this thesis I further predict a Czech and Euro area money market yield curve dynamics using the CIR and the GP models as representatives of various types of interest rates models to compare these predictions with BGM predictions. I suggest a comprehensive system of three criteria, based on comparison of predicti- ons with reality, to describe a predictive power of selected models and an appropria- teness of their use in the Czech market environment during different situations in the market. This analysis shows that predictions of the Czech money market yield curve dynamics based on the BGM model demonstrate high predictive power and the best 8 quality in comparison with other models. GP model also produces relatively good qua- lity predictions. Conversely, predictions based on the CIR model as a representative of short rate model family completely failed when describing reality. In a situation when the economy allows negative rates and there is simultaneously a significant likelihood of their implementation, I recommend to obtain predictions of Czech money market yield curve dynamics using GP model which allows existence of negative interest rates. This analysis also contains a statistical test for validating the predictive power of each model and information on other tests. Berkowitz test rejects a hypothesis of accurate predictions for each model. However, this fact is common in real data testing even when using relatively good model. This fact is especially caused by difficult fulfilment of test conditions in real world. To my knowledge, such an analysis of the predictive power of selected interest rate models moreover in the Czech financial market environment has not been published yet. The last goal of this thesis is to suggest an appropriate approach to obtaining pre- dictions of Czech government bonds risk premium dynamics. I define this risk premium as a difference between government bond yields and fixed rate of CZK IRS with the same length. I apply the GP model to describe the dynamics of this indicator of the Czech Republic credit risk. In order to obtain a time series of the risk premium which are necessary for estimation of GP model parameters I firstly estimate yield curves of Czech government bonds using Svensson model for each trading day since 2005. Resulting si- mulations of risk premium show that the GP model predicts the real development of risk premiums of all maturities relatively well. Hence, the proposed approach is suitable for modeling of Czech Republic credit risk based on the use of information extracted from financial markets. I have not registered proposed approach to risk premium modeling moreover in the Czech financial market environment in other publications.
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Multimedia communication
Vondra, Zdeněk ; Horný, Stanislav (advisor) ; Skrbek, Jan (referee) ; Jurášková, Olga (referee)
Multimedia is a form of communication and sharing knowledge using synergic effect of parallel connected communication channels. Its main use is in producing communications products and services and in design of user interfaces. Main objective of this dissertation is to develop and create a model of multimedia communication for better understanding of the meaning and the purpose of using multimedia forms in communication process. The model will describe a system of elements and parameters of multimedia communication within the internal and external context. Another objective of this dissertation is to develop multimedia communication methodology that will be used for the design, development and evaluations of concepts of multimedia communication. The methodology will be created by applying the model of multimedia communication into the procedure structure. In theoretical way this dissertation is based on analysis of different definitions and approaches to the multimedia communications topic. This is followed by an analysis of communication theories, concepts of media, multimedia, delivery channels, and communication functions. The theoretical part is followed by the outcomes of the research in practice of four different fields of multimedia use. The knowledge gained is analyzed in the following parts in purpose of creating the model of multimedia communication and the methodology which is derived from the model. The methodology is further validated through case studies and the recommendations for further development are formulated. The model and the methodology of multimedia communication created in this dissertation present complex view on multimedia communication topic that is considered as a useful tool for meeting a specific communication purpose. Dissertation provides mechanics for use and study of multimedia communication and also defines the opportunities for further development of the methodology.
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Communications Intercultural Aspect in Working Environment of a chosen Firm
Jenšovský, Šimon ; Hiršová, Miloslava (advisor) ; Balgová, Dagmar (referee)
The thesis covers cultural differences among employees of a multi-national corporation in relation to communication and task execution. Thesis aims to construct a theoretical framework to map these cultural differences and apply gathered insights in practical research targeting the effect of cultural differences on communication and task execution. Research questionnaire replicates Hofstede's work and also builds on practical application of Hofstede's work by several authors. Research data were gathered via digital questionnaire. Data refinement and evaluation was conducted using frequency description and statistical methods of structure comparison. The thesis provides a set of practical recommendations as a result. These are aimed to help reduce or possibly eliminate negative effects of cultural differences in the workplace.
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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.
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The theory of communication with foreigners in nursing process
Heitzerová, Ilona ; Kutnohorská, Jana (advisor) ; Skorunka, David (referee) ; Švarcová, Eva (referee)
Bachelor thesis disserts on basic conceptions connected with communication in a plain field, related to communication with foreigners, multicultural themes and conceptions applicable to a labour. This thesis also deals with specifics of a nursing care for mothers - foreigners and there is a conceptual model of Madeleine Leininger mentioned there. There is information about Vietnamese, Bulgarian, Ukrainian and Nigerian culture, religion and characteristics of those national minorities included in this thesis. Integral part of Bachelor thesis is qualitative research solution, focused on communication, language skills and understanding of the problem and approach to the clients - foreigners with regard to nursing care during the labour. The examinated are mothers - foreigners, which gave births in the maternity ward of Podripska hospital in Roudnice n. L.
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Case Study - Divorce and its conditions
Kopecká, Veronika ; Spirit, Michal (advisor) ; Jansa, Viktor (referee)
This bachelor thesis centers around divorce issues and its circumstances, which is illustratively demostrated on a real life scenario. For meeting my aims, that is to introduce and characterise divorce as a phenomenon with huge amount of negative social-economical and social-psychological results including causes and mechanisms of divorced family and breakup of marriage, I used a literature that examines this area, followed by comparison of acquired data with a case study. In this thesis, an assumption of negative results of a divorce has been comfirmed, but so has the work of a state to effectively separate a married couple. The benefit of this thesis lies in an opportunity to get acquinted with requisities of a divorced marriage and should the reader be in similar situation when a divorce is imminent or planned for, he can take proper steps by familiarizing with circumstances and results of a divorce.
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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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