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Business Plan
Havránek, Lukáš ; Dombek, Petr (referee) ; Veselý, Josef (advisor)
The Bachelor’s thesis aims to provide necessary information for successful expansion of GrowJOB institute to Austria. Since 2006 GrowJOB has been educating CEOs and other executives of Czech companies in the field of competitiveness and been helping them grow stronger among their competitors. In the thesis I describe theoretical background of business plan creation and analyze both internal and external environment. Then I focus on individual steps of the expansion and provide a detailed financial plan as well. The most robust competitive cutting edge of the company is that it takes advantage of new scientific findings in the field of decision-making processes (behavioral economics, neuroeconomics) and brings them to everyday life of firms.
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THE METODOLOGY OF CLIENT SOLVENCY ASSESSMENT IN INSURANCE BUSINESS
Doskočil, Radek ; Dostál, Petr (advisor)
This dissertation thesis deals with problems of identifying client’s solvency in the insurance business and is drawn for the insurance companies needs. The main target of this work is a construction of methodology, which will provide managers a tool to support their decision making in cases of client solvency assessment. The basic theoretical background, an overview of the current state of the analyzed subject and the description of utilized methods are presented in the introductory part of this work. In following parts of this work is introduced a real database of insurance company’s clients, which serves as a basis to accomplish the defined goal. The source data were subject to a necessary analysis to determine the cross-correlations and variables entering the decision-making model. A large variety of traditional statistical methods, including relevant software were used to analyze the data. Decision-making model was formed with the help of artificial intelligence methods, especially fuzzy logic. The technical realization of the model was made using MATLAB software. The process of insurance company’s client solvency assessment methodology creation is described in detail and elaborated into phases. The fundamental part of the methodology, decision-making model, can be easily modified and adapted to the end user’s specific needs. The text also includes a verification and implementation of the model, an interpretation of the results, a comprehensive client solvency assessment methodology process in insurance business and the definition of contribution of this methodology to practice, theory and pedagogy.
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The Application of Fuzzy Logic for Rating of Suppliers
Boros, Adrián ; Podešva, Lukáš (referee) ; Janková, Zuzana (advisor)
The master’s thesis deals with the design and implementation of decision models for the evaluation and subsequent selection of suppliers of powder paints for the company Kenzel s.r.o. Decision models are created in MS Excel and MathWorks MATLAB and use the principles of fuzzy logic. The thesis describes the theoretical basis of the work, the current state of the company and the implementation of both proposed models. Part of the work is also the selection of evaluation criteria on the basis of which the evaluation of selected suppliers takes place.
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Possibilities of value analysis utilization by selection of mortgage lender
Pískatá, Petra ; Korytárová, Jana (referee) ; Puchýř, Bohumil (advisor)
The aim of this master’s thesis is to find the best type of mortgage loan for several kinds of borrowers. The first part describes personal housing financing, use of loans, use of mortgages in general. At the end of this theoretical part the value analysis is explained as a tool for mortgage lender (or the type of mortgage loan) selection and the way of reaching this goal is defined. Second part is a practical example of how to make decision and find the best choice. It selects the most important criteria and real cash flow is simulated to asset the price of each possibility. Using the discrimination method and efficiency rate the possibilities are ranked. Results are commented on and recommendations are set to every type of client. In conclusion, general method for selection before getting a mortgage is proposed.
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Strategy for Game Systems
Švestka, Marek ; Tóth, Michal (referee) ; Zemčík, Pavel (advisor)
This thesis resolves the artificial intelligence representation in computer games. The goal was to find it's suitable interpretation methods. The issue was solved with "map"implementation, which is the n-dimension matrix holding the information about current game state for the concrete player. There were various types of these matrixes used in this thesis. Furthermore was designed a way to evolve computer opponents during the gameplay and created an algorithm, that gives the idea of the space in which it is located. Benefit from this thesis is a solution that makes artificial adversary close to human gameplay behavior. The outcome could also be used in simulators for military battles in real world.
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The Impact of Uncertainty of Project Models on Investment Decision Making
Pískatá, Petra ; Heralová,, Renáta Schneiderová - (referee) ; Pavelková,, Martina (referee) ; Hromádka, Vít (referee) ; Heralová,, Renáta Schneiderová (referee) ; Korytárová, Jana (advisor)
This doctoral thesis widely analyses the process of investment decision-making. In its individual parts, it researches models used for planning, analysing and evaluation of investments projects, but also models used for final decision about realization of the investment. Investing activity is present in world economic cycle in all it’s phases. Capital sources used for financing if the investment projects are scarce and must be handled with care. For this reason, there are many supportive methodologies and models employed in managing of the investments as well as instruments developed to miti-gate the potential project risks. However, even utilization of these instruments and models can’t guarantee the expected results. There are uncertainties, errors and in-accuracies in the process that can thwart investment decisions. The aim of the thesis is to analyse the investment decision-making process (from the initial idea to the realization of the investment project) and to identify the main un-certainties – factors influencing the success / error rate of models for investment project planning as well as the decision on their realization. The main outcome of the thesis is an overview of these factors and recommenda-tions on how to work with these factors and make the process as effective as possi-ble. Another output is an analysis and recommendations for the use of financing sources and mix of the instruments that should be used to mitigate the potential impact of risks that are connected to all investment projects.
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