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.

This master's thesis deals with the issue of risk management in the selected company, which focuses mainly on production of technical fabrics. The theoretical basis of the thesis includes the definition of basic concepts related to risk management, identification, analysis and evaluation, as well as the precise procedures established according to the relevant ISO standards issued by the Office for Technical Standardization, Metrology and State Testing. The following section describes the current situation in the company, including introducing a process that identifies and identifies risks. These are then evaluated by the FMEA analysis and measures are proposed to reduce, possibly eliminate the risks.

Diploma thesis focuses on the analysis of selected process of company JOSA KOVO s.r.o. and on the detection of selected risks. Acquired knowledge from the theoretical part is utilized for the application of selected risk analysis method in the practical part. Detection of risks will be performed with the use of analysis of internal and external company environment and risk analysis method. Identified risks will be evaluated and with the use of acquired knowledge there will be made a proposal of recommendations and measures, which will lead to reduction of risks. Diploma thesis provides a comprehensive view of measuring and reducing risks in business environment, in terms of theoretical methods and also practical application for a selected company.

The work provides theoretical base of project management. It describes the current approach to project management as a combination of multiple processes. The process of risk management is described with special care. It also discuss some of the different approaches to risk management. \\ The work suggests new way of handling risk management, that combines risk management and data mining. Data mining approach is also used to mine quantitative risk values. This approach was successfully implemented and tested. Tests showed that this approach is very useful for omitted risk identification. Unfortunately it is also not recommendable for mining quantitative risk values.

This thesis is devoted to risk analysis of the investment construction project. The theoretical part is deals with definition of risk, types of risks as well as risk management methods. Various risk analysis in investment projects is included in the description. The practical part is focused on the evaluation of economic efficiency including the risk assessment of investment project called „Building construction of nursery school in Svatobořice-Mistřín.

Aus der Einleitung: "Die Anreicherung von digitalen geometrischen Modellen von Maschinen mit nichtgeometrischen technischen Informationen in einer frühen Phase der Produktentwicklung ist Stand der Technik. Für Testzwecke werden virtuelle Modelle, sogenannte Digital Mock-ups, eingesetzt. Diese werden durch Kombination der geometrischen Darstellung mit bestimmten Funktionalitäten (z. B. Multiphysik-Simulationen) zu sogenannten Functional Digital Mockups (FDMU) zielgerichtet weiterentwickelt (Eigner et al. 2011). Auf Basis spezifischer Kriterien und quantitativer Analysen dienen diese Tests vor allem der Vermeidung von Fehlern beim späteren Produkt. Virtual Reality (VR) Modelle können auch als eine Art FDMU angesehen werden, wenn z. B. durch Verbesserung der Vorstellbarkeit ergonomisch relevante Größenverhältnisse besser eingeschätzt werden. Ein hoher Immersionsgrad, der in der Regel mit zunehmender Anzahl von Projektionsflächen steigt (Dörner et al. 2013), und die Darstellung des VR-Modells im Maßstab 1:1 tragen dazu entscheidend bei. ..."

The present dissertation studies financial impacts of risks in the construction industry, providing one of possible ways of the risks expression and monitoring, through which they can be efficiently managed. Theoretical assumptions and selected methodology provided basis for an overall analysis of the Czech Republic construction market, identifying possible external risks sources including their processing and description. The present dissertation aims at finding major risks and assessing their financial impacts that pose threats to companies active in the construction sector, indeed a specific sector for doing business. These risks have been compiled in a Risk Catalogue intended as a guide for selected risks management. To elaborate on the risks identified, two specific companies have were selected, having provided their data (financial reports, accounts statements, number of projects contracted including their volume and type, personnel information, etc.), as well as key indicators they have been using. The dissertation outcome presents construction sector analysis and Risk Register compilation. The work clearly defines the procedure of the Register compilation, possibly to be used by construction companies with respect to recurrent activities and the risks involved. The Catalogue sorts risks in categories and defines their possible occurrence as well as their financial impact on the company. Furthermore, it presents their possible management, i.e. how they can be minimized or even eliminated, as well as necessary costs involved. Indeed, the costs have to be considered in the sense of financial impacts so that it does not result in covering risks with rather low financial impact.

Risks are something that occur daily for all individuals and can arise from a variety of activities. If we don't take these risks into account, we will likely eventually be affected by them. By identifying and analyzing risks, the most appropriate decision can be made to mitigate or avoid the risk completely. The purpose of this study is to investigate which factors should be included in a risk analysis, and how a risk analysis can be designed for contract prioritization.  The work is carried out using an abductive scientific approach as the basis of the study. Data collection is done qualitatively through interviews. In order to achieve good scientific quality with high validity and reliability, the work was done in a systematic way with good planning.  The authors conclude that the company has a correct way of defining risks but lacks a clearly structured way of identifying new potential risks, which theory shows is important for a successful risk analysis. The result describes the financial risks as the cost critical and credit risk as the most important factor. The result describes that the company doesn't have a specific model, and the authors recommend FDFMEA as a model for risk analysis in contract prioritization, which is a developed and customized version of the traditional FMEA. The case company has a well functioning approach to how risks are handled, for example using insurance to avoid specific risks. With regards to data driven decisions, theory underlines the importance of the model presenting data in a simple and transparent way. This is something that the case company currently lacks but plans to improve. / Risker är något som förekommer dagligen för alla människor och kan uppstå ur en mängdaktiviteter, tar vi inte hänsyn till dessa risker bör vi sannolikt förr eller senare drabbas avrisken. Genom att identifiera och analysera riskerna kan det mest lämpliga beslutet fattasför att mildra eller undvika risken. Målet med denna studie är att undersöka vilka faktorersom bör ingå i en riskanalys samt hur ett riskarbete kan genomföras i en beslutsprocessför säljkontrakt. Arbetet genomförs med ett abduktivt arbetssätt som grund för studien ochdatainsamlingen sker kvalitativt genom intervjuer. För att uppnå en god vetenskapligkvalitet med hög validitet och reliabilitet utfördes arbetet på ett systematiskt arbetssättmed god planering. Författarna drar slutsatsen att företaget har ett korrekt sätt att se på risker, men saknar etttydligt strukturerat sätt att identifiera nya potentiella risker, något som teori påvisarvikten av för en lyckad riskanalys. Resultatet beskriver de finansiella riskerna som mestkritiska och kreditrisk som den viktigaste faktorn. Vidare beskriver resultatet att företagetinte har en specifik beräkningsmodell, författarna rekommenderar FDFMEA som modellför riskanalys, en utvecklad och anpassad version av traditionell FMEA analys.Fallföretaget har ett väl fungerande arbetssätt för hur risker behandlas där man tillexempel använder försäkringar för att undvika risker. I avseende på datadrivna beslutpåvisar teori vikten av att modellen presenterar data på ett enkelt och transparent sätt,något fallföretaget brister i för tillfället men planerar förbättringar.

Arctic Canada has seen significant ecological changes since the 1990s, leading to sea ice melt, increased temperatures, and increased accessibility to the Northwest Passage. The increased accessibility to the Northwest Passage has allowed for vessels to easily access maritime routes that were not previously accessible. Changes to the Arctic landscape has led to the beginning of open water shipping seasons in Arctic waters, attracting international audiences for trade, tourism, fisheries, and other economic activity. This new passageway increases options for companies to reduce costs in shipping, while also facilitating new and emerging hazards and risks for operational vessels. Comprehensive risk analysis and full assessments need to be completed to aid policy- and decision-makers to support and manage the increasing maritime traffic in Canadian Arctic waters. To fill this knowledge gap, the overarching aim of this master’s level research was to identify and preliminarily evaluate a comprehensive list of hazards (impact drivers) and risks (future impacts) for Maritime ship operations within Arctic Canada and to complete a preliminary assessment of identified maritime shipping hazards and risks throughout Arctic Canada. Hazards and risks were identified using several text-based sources, including social media, grey literature, and peer reviewed journal articles, in order to conduct a comprehensive content analysis to identify the perspectives and trends emerging among the online community. Natural language processing methods were then used, such as word frequencies, word correlation, and topic modelling to identify key phrases, terminology, and thematic groups. This allowed for the creation of an inventory of relevant hazard and risk themes and categories that could be used as a strong basis for informing a risk analysis. Emerging themes included: sea ice, navigability issues, geopolitical concerns, and operational challenges, among others. Following the identification of hazard and risk factors, a ‘failure modes, effects, and criticality analysis’ (FMECA) approach was used, along with a consequence-probability Rettinger ix matrix, as means of performing a preliminary risk analysis. The method enables the collection of information regarding hazard and risk descriptors, consequence, probability, control mechanisms, impacts, and data quality information, to establish a validated risk rating score. Risk rating scores are calculated using consequences and probability scores to determine average risk ratings for individual hazards and risks and at the sector-based category level. A total of 154 variables were inventoried: 55 hazards were identified and 99 risks were noted that influence maritime ship operations in Arctic Canada. Five variables were classified as ‘VERY HIGH’: three hazards (hydrocarbon releases, transportation of dangerous goods, and multiyear sea ice) and two risks (community member displacement and socioeconomic impacts on indigenous peoples). Five thematic groups were seen as priority risk ratings, two of which identified with “HIGH” data quality indexes (Sea Ice, Environmental). A total of 35 hazards and 36 risks are recommended for further investigation, being classified with a ‘VERY HIGH’ or ‘HIGH’ data quality score. Results of this research supports a preliminary attempt at a comprehensive risk analysis that can be used in the future to conduct a full risk assessment.