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NON-INSTITUTIONAL PRIVATE EQUITY AS INVESTMENTS IN START-UPS AND EXPANSION-STAGE ENTERPRISES
Skalická, Martina ; Dostál, Petr (referee) ; Kožená, Marcela (referee) ; Živělová, Iva (referee) ; Zinecker, Marek (advisor)
This Ph.D. thesis examines characteristics of Business Angel investors in the Czech Republic and their attitudes to evaluation of investment projects. The research is based on primary data obtained by interviewing active Business Angel investors operating in the Czech Republic. The characteristics of Business Angel investors and their attitudes in investment decision making and subsequent monitoring of investments are analysed. Business Angel investors were also asked how they perceive external environment. The topics and questions listed in the interviews result from a systematic literature review. Based on the results of the interviews, an elimination model was developed to capture the preferences of individual Business Angel investors. The model represents a tool supporting entrepreneurs while determining the probability that their project will not be rejected without a deeper examination. Therefore, the model supports entrepreneurs to set the parameters of their projects to increase the likelihood that a Business Angel investor will undergo a detailed due diligence process.
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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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