Master’s thesis focused on the risk identification with application of selected strategic and economic analyses of the company Daikin Device Czech Republic s.r.o. External and internal analysis will be performed by PESTLE analysis, Porter's Five Forces, McKinsey 7S analysis, selected financial analyses indicators, SWOT analysis and risk analysis by RIPRAN analysis. Risks will be evaluated from the results of analyses. For this risks will be suggested recommendations, which should lead to their decrease and improve the situation in the company.

The thesis contains risk analysis of the investment construction projects. The theoretical part is focused on risk definition, types of risks and risk management methods. Further there is various risk analysis in investment projects described. In the practical part is the evaluation of economic efficiency including the risk assessment in development project of the company Prologis.

Diploma thesis is focused on risk management of Obchodní společnost Slokov, a.s. which is engaged in production of heating equipment. Thesis contains issues of risk management, risk analysis and proposal of measures which will eliminate the result of identified risks. The first part of thesis is focused on theoretical background, which describes the analytical methods and basics of risk management. The second part includes application of the selected methods. Risk identification of company is performed. Risks were found by internal and external analysis and method of risk analysis. In the conclusion of thesis are recommendation to help minimize risks in company on preventive or corrective level.

The thesis deals with risk management in the company Energopoint Ltd. The theoretical part explains important concepts related to the issue. This primarily involves the identification, analysis and follow-up methods of risk reduction. In the analytical part are identified all possible risks a company that has been detected by analysis of macro environment, micro environment and internal analysis of the company. To evaluate the significance of risks is used scoring method. Based on the findings of the analytical part I proposed measures to reduce risks. The contribution of the work is to gain the advantages of introducing risk management in the company.

The thesis deals with risk management of business entity, which provides services in field of education officials. Risk management proces consists of several parts, such as identification, analysis and risks reduction. All of these parts, including basic concepts, are described in the theoretical part. In the analytical part there are methods, which are using for identification potential risks. It include SLEPT analysis, Porter analysis and 7S model, then comes SWOT analysis. Based on these analyzes are proposed measures and recommendations that will help reduce risks.

This diploma thesis deals with risk management of a selected company. The described company is called PLASTIC BOX CZ, Ltd. and it is engaged in the manufacture of plastic products. The theoretical part contains the definition of components, which are mainly identification, analysis and methods to reduce individual risks. Appropriate analytical methods related to the risk management process are subsequently defined. In the analytical part, risks of the business entity are identified using selected methods. Risk analysis is performed by the FMEA analysis and elaborated in the specific process of running the company. The last part of this thesis includes the design of a risk management system of operating the company PLASTIC BOX CZ, Ltd., which is meant to ensure minimization and prevention of possible risks.

Machine Learning has significantly influenced development across domains by leveraging incoming and existing data. However, despite its advancements, criticism persists regarding its failure to adequately address real-world problems, with the construction domain being an example. Construction sector is crucial for global economic growth, yet it remains largely unexplored, lacking sufficient research and technological utilization of its extensive data. Despite increasing publications on adapting technological advancements, the primary focus is on urging industry innovation through digitization. Recently, adopting Machine Learning to address operational challenges has gained attention. While some studies have explored potential ML integration opportunities in construction, there is a gap in understanding the factors and barriers hindering its adoption across projects. This study investigates the factors restricting organizations from implementing ML in construction projects and their consequent operational impacts. This study employs a comprehensive literature review of ML concepts and identifies gaps in construction data. Qualitative interviews have been conducted in a semi-structured manner with five industry professionals offering practical insights, preceding a thematic analysis of interview data. Themes are analyzed and discussed in relation to theoretical material to identify connections. Finally, a risk assessment based on identified risks is evaluated through a risk matrix. The results of this study discuss the challenges and potential benefits of implementing ML within the construction industry. The study further emphasizes the necessity of knowledge to understand project-specific datasets. With a primary focus on unstructured text and image data, the study uncovers challenges related to data inconsistency that affect data reliability. While recognizing ML’s potential to streamline construction operations, the study underscores challenges such as data security and digitalization. In summary, this study emphasizes the importance of data quality, security, and cultural transformation in harnessing ML’s capabilities to improve construction project management and operations.

This master's thesis focuses on the knowledge of risk management. The core of this issue contains risk management process, risk identification, monitoring and risk analysis. The text in the first part explains stages of identifying the risks and the methodology used. The aim was to create, after a thorough analysis, the detailed design, then proceed to implementing individual parts of the system and to create a functional system for the support of identification of risks in IT projects. The system was implemented in PHP programming language, working with the MySQL database system on the database level. In the end there is an assessment and discussion of possible expansion.

The aim of this thesis is to describe the methods, tools and procedures for analysis and risk management businesses. Another objective is to identify specific features of the agricultural sector and to identify the risks that are unique to this sector. The identification and risk assessment of the significance of the selected business entity is part of the thesis. The main contribution of this thesis is processing of risk management. This section consists of the recommendations and proposals in the field of preventing and reducing the impact of risks on the business entity and suggestions for possible improvements of the current situation in order to increase the stability, resilience and flexibility of the entity.

The diploma thesis is focused on a selection of company, which an identification of risks and their causes is elaborated for. The selected company is AB JET spol. s.r.o., where systematic identification of company's risks and their core causes, evaluation of discovered risks' weight and specification of possible negative consequences were performed by using method IPR (Identification of Processes and Risks). Processed results should be used as a template for suggestions of preventive measures.