The occurrence of early-onset breast cancer (EOBC) has been associated with germline mutations in the BRCA1 and BRCA2 genes. The first aim of this thesis was to evaluate the frequency and distribution of mutations in these genes, in a group of Cypriot women diagnosed with EOBC. Pathogenic mutations were identified in 6 of the 26 unrelated patients. This study supports a strong correlation between the early onset breast cancer phenotype and the presence of pathogenic BRCA1/2 mutations. It is of interest that pathogenic mutations were detected in patients without a family history of the disease. Based on these results, we recommend that BRCA1/2 screening should be offered to patients with a diagnosis of EOBC irrespective of their family history. The known breast cancer susceptibility genes explain only about 5% of breast cancer cases. Thus, it is likely that other breast cancer susceptibility genes exist. The second aim of the present thesis was to assess whether alterations in DNA repair genes modify breast cancer risk in the Cypriot population. Towards this objective, blood samples were collected and genomic DNA isolated from 1109 Cypriot female breast cancer patients diagnosed between 40-70 years old, and from 1177 age-matched healthy female controls. A total of 79 single nucleotide polymorphisms (SNPs) were genotyped in all samples. Significant associations with breast cancer risk were observed for eight of the SNPs studied. Five SNPs in the BRCA2, MRE11A, MUS81, PBOV1 and XRCC1 genes, were associated with an increased risk for breast cancer, while two SNPs in the NBS1 gene and one SNP in the MRE11A gene appeared to be associated with reduced risk for the disease. The data from this study support the hypothesis that genetic variants in DNA repair genes influence breast cancer risk and provides further evidence for the existence of a polygenic model for breast cancer.

The thesis presents a series of principles, similar to those developed by the Organisation for Economic Co-operation and Development in relation to policy oriented indicators, intended to codify best-practice with regards to the design of pesticide risk indicators for use by farmers. Development of these principles was based upon extensive reviews of the literature concerning the potential exposure to and impacts of pesticides on non-target organisms and the relative merits and limitations of different methodological approaches, discussions with farmers concerning the suitability of different approaches to risk indicators and experimental assessments of indicator performance. These assessments took the form of a three-year field trial examining the impact of different levels of pesticide input upon non-target arthropods and several smaller trials that compared the performance of different insecticides and investigated the effect of differences in pesticide dose on non-target arthropods. The data were then compared with the theoretical results generated by a number of different risk indicators. The thesis also identifies a number of barriers to the implementation of these principles in the form of new pesticide risk indicators. These include restrictions on the range of non-target organisms and potential effects for which high quality data is available and the methodological difficulties associated with the incorporation of sublethal, indirect and ecosystem-level effects into risk indicators. Improvements in the validation of pesticide risk indicators that enable objective evaluations of indicator performance to be made are also required.

The purpose of this research was to examine and describe attrition and analyze factors that affect attrition at the United States Naval Academy. Specifically, the research attempts to identify characteristics that may signal a student's propensity to attrite from school. The intention is to determine if there are common characteristics among those who attrited from the Academy and to determine what role organizational factors and Academy experiences had on attrition. The desired end state is to identify a partial list of characteristics the Company Officer may use to flag at risk Midshipmen and when appropriate, intervene to reduce attrition. The results of the research indicate those who fail one or more physical readiness tests, females, and minorities have a greater probability of attriting from the Academy. This study summarizes the results, makes recommendations to the United States Naval Academy and for future research. / US Marine Corps (USMC) author.

Research questions 1. What kind of risks in the supply side of HUAWEI supply chain can be identified? 2. How can supply side risks of HUAWEI supply chain be assessed? 3. How can supply side risks of HUAWEI supply chain be mitigated? Purpose This paper describes supply side risks in HUAWEI in China, the types of risks identified, provides guidelines for assessment of these risks and suggestions for mitigation. Methodology In order to answer above research questions empirical data have been collected through observations, interviews at with logistics managers of HUAWEI in China, and from the official documents, annual reports and authentic web pages of the HUAWEI. Theoretical framework has been built through scientific articles, peer reviewed journals, authentic web based documents, and textbooks. The information is then assessed and analyzed, which result in conclusion and recommendations for the company. Conclusion There can be four major risks identified on the supply side. Manufacturing risk, logistics risk, information risk and inventory risk. The manufacturing risk include risks related to production, skill, and quality. The logistics risk further include delivery risk, lead time risk, and transportation risk. Production risk and skill risk are critical and they can be avoided by enhancing risk awareness, evaluating production feasibility, strengthen staff training, investing in high skills, strengthening R&D, and analysis of the external environment. The quality and inbound delivery risks can be reduced through supplier inspection and establishing good supplier relations. Lead time risk and inventory risk can be reduced by vendor based managed inventory system and mass customization. Meanwhile, transportation risk can adopt risk transfer strategy. The information risk can be reduced by increasing information sharing levels and adopting modern communication technologies.

As harmful as the financial crisis of 2007-2009 was, some organizations professed some benefits as a result; “we know our risks better,” “we can better manage risks.” Many of the organizations that hailed such positives undoubtedly had what would generally be considered sound risk management systems/practices (RMS). So, what happened? What prevented organizations RMS from perhaps better mitigating risk during the recent financial crisis than was the case? Said another way, “what are barriers to effective risk management?” This study proposes a risk governance framework (RGF) that helps distinguish phases of RMS, and is grounded in Risk principles versus a controls based foundation that many view as part of the current problem with RMS. Based on our survey of 41 Risk Managers (RM) and 96 Regulators (REG), we obtained perspectives on barriers to effective risk management including barriers to effective risk management leading up to the financial crisis of 2007-2009, the importance of Risk principles, and suggestions to improve the effectiveness of RMS. We also obtained RM and REG perspectives of the impacts to RMS from our banking environment providing a type of “insurance,” impacts to RMS due to perceptions of the state of the financial/economic environment, how complete must phases of RMS be, compensation practices and its impacts to RMS, and the notion of quantitative/qualitative methods in current RMS. Leading up to the financial crisis of 2007-2009, identified barriers to effective risk management include a lack of risk culture and under estimating risks. Some suggestions to improve RMS include improving the risk function and developing more dynamic, forwarding looking and preemptive risk management tools and techniques that blend quantitative and qualitative methods. The proposed RGF and the rich context on barriers to effective risk management obtained from our study may help practitioners and academia alike in considering ways to analyze and improve RMS.

This research explores the management of risk in operations. It explores the different structures influencing the treatment of risk and the influence on managerial risk taking behaviours. There is limited understanding within the extant literature of the different treatment strategies for risk in operations and what influences selection of treatment strategy. This research employs an abductive approach iterating between the theoretical and empirical. There are four levels of analysis: the firm, the function, the group and the individual. The research was conducted in two European Energy companies. The research found that there is a complex interaction between organizational structures and individual perceptions in managing risk. Corporate risk structures have limited influence on the selection of risk treatments. The specification of business function (service or asset focus) informs the process of risk management and use of systems. Use of systems and valuation techniques underpin the risk prioritization process and specifically the assessment of risk. There is an order of decision influences that reflects the Levers of Control (Simons, 1995; 1998): Risk treatments are prohibited by boundary systems. Secondly, individual’s beliefs influence positive selection of treatment, and third where a treatment has not been selected through beliefs, the performance system is consulted. The performance system is most likely to influence selection of risk acceptance or risk mitigation. It is found that classification of risk has more than a semantic influence on perception and risk treatment; it can prohibit uses of certain treatments and inform priority. Understanding of the decision process matures and increases in complexity in senior managers. It is found that the performance system has influences on manager’s beliefs and in the long term, reflecting vision and mission the implementation of boundary conditions.

Despite considerable uncertainties regarding the exact contribution of anthropogenic climate change to disaster risk, rising losses from extreme events have highlighted the need to comprehensively address climate-related risk. This requires linking climate adaptation to disaster risk management (DRM), leading to what has been broadly referred to as climate risk management (CRM). While this concept has received attention in debate, important gaps remain in terms of operationalizing it with applicable methods and tools for specific risks and decision-contexts. By developing and applying a methodological approach to CRM in the decision context of sovereign risk (flooding) in Austria we test the usefulness of CRM, and based on these insights, inform applications in other decision contexts. Our methodological approach builds on multiple lines of evidence and methods. These comprise of a broad stakeholder engagement process, empirical analysis of public budgets, and risk-focused economic modelling. We find that a CRM framework is able to inform instrumental as well as reflexive and participatory debate in practice. Due to the complex interaction of social-ecological systems with climate risks, and taking into account the likelihood of future contingent climate-related fiscal liabilities increasing substantially as a result of socioeconomic developments and climate change, we identify the need for advanced learning processes and iterative updates of CRM management plans. We suggest that strategies comprising a portfolio of policy measures to reduce and manage climate-related risks are particularly effective if they tailor individual instruments to the specific requirements of different risk layers. (authors' abstract)

The purpose is to investigate whether there are any significant differences in risk                                                             tolerance in equity investments between the genders. Further, the study intends to                                                        investigate wether independent factors such as age, income, education and                                                                  confidence effects the risk tolerance of an individual.Method: The study has adapted a combination of qualitative and quantitative methods. The                                                      primary data has been collected through surveys and semi-structured interviews.                                                           The adopted research approach  is deductive and the study population consists of                                                                men and women in Sweden, which are or have been active equity investors. Theory: Describes the concept of risk tolerance in financial decisions. The theory further                                                             explains an individual’s descisionprocess in relation to risk, with its overvaluation                                                         to a positive probability and its undervaluation to a negative risk. Further, a                                                     several factors are explained and discussed that influence an individual’s risk                                                        tolerance. Conclusion: Differences in risktolerance between the genders has been proved. Furthermore,                                                             the influence of the factors age, income and education are statistically proved.                                                                Finally the impact of self confidence were proven through qualitative data. / Syfte: Syftet är att undersöka om det finns några signifikanta skillnader i riskbenägenhet                                                        vid aktieplacering mellan könen. Vidare ämnar studien undersöka om oberoende                                                           faktorer som ålder, inkomst, utbildning och självförtroende påverkar                                                                        riskbenägenheten hos en individ. Metod: Studien har antagit en kombination av kvalitativ och kvantitativ metod.                                                                         Primärdata har således samlats in via enkätundersökningar samt delvis                                                                           strukturerade intervjuer. Studiens sekundärdata består av tidigare forskning.                                            Forskningsansatsen som antagits är deduktiv och studiens population utgörs av                                                  män och kvinnor i Sverige, vilka är eller någon gång har varit aktiva                                                                         aktieplacerare. Teori: Beskriver begreppet riskbenägenhet vid finansiella beslut. Även teori som                                                                         förklarar en individs beslutsprocess i förhållande till risk, med dess                                                                                   övervärderingar till en positiv sannolikhet och dess undervärdering till en negativ                                                          risk. Vidare förklaras och diskuteras ett flertal faktorer som påverkar en individs                                                           riskbenägenhet. Slutsats: Skillnad i riskbenägenhet mellan könen har påvisats. Vidare har påverkan från                                                                faktorerna ålder, inkomst och utbildning statistiskt bevisats. Avslutningsvis                                             bevisades självförtroendes påverkan genom kvalitativ data.

The field of modern project management is not new, and what seems to have changed over the past decade is the evolution of techniques applying theory into practice. This had as a consequence for the need to standardise and structure different processes of project management, in a detailed, documented and formal manner. On the other hand, change management seen as an integrated process within project management is a rational process for exploring decision and behaviour alternatives in an attempt to realign the course of ‘derailed’ deliverables due to change and ensure project success. However, models contained in such frameworks often lack formal semantics and clarity; generally fail to address and assess organisational change management risk reasoning, in a rather detailed way as they do for the majority of the project management processes. Since, uncontrolled changes might have an effect on the projects’ success, it is vital to assess the probability of materialisation (risk) of success before the decision is made and whether to proceed with the change or not. For example, if the change dramatically increases the risk of failure then it is logical to assume that avoiding that implementation is the right decision. Ideally, a change or consequence based upon a decision should have a low impact and a fairly high level of predictability. This research, takes the challenge to propose a novel modelling approach, which will contribute significantly to the missing formality of business models especially in the change risks assessment area. The introduction of Change Risk Assessment Model (CRAM) allows the identification and definition of speculative relationships, between change risks in the form of hierarchical risk tree analysis. Overall, the method is dynamic and flexible enough that can be tailored to various project requirements, taking into account significant environmental risk factors which influence project deliverables. Project success is a key objective for today’s organisations; professionals can make use of a new methodology for risk assessment, compatible with project management frameworks which currently seems to be missing from literature. Project management methodologies are not a panacea against project failure; nevertheless, CRAM can be regarded as a comprehensive modelling approach which combines both quantitative and qualitative risk criteria analysis in decision making processes.

No description available.