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Titlebook: Enterprise Risk Management Models; David L. Olson,Desheng Wu Book Jul 20101st edition Springer-Verlag Berlin Heidelberg 2010 Chance.Disast

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Data Envelopment Analysis in Enterprise Risk Management,in management, business research and development, petroleum distribution system design, military logistics, and government services. DEA and multicriteria decision making models have been compared and extended.
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Portfolio Selection Under Fuzzy and Stochastic Uncertainty, return of a portfolio as investment return and the variance of the expected return of a portfolio as investment risk. The main input data of the Markowitz mean variance model are expected returns and variance of expected returns of these securities.
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https://doi.org/10.1007/978-1-4614-3332-3. Internal threats are also present. Some problems arise due to turbulence in personnel, through new hires, transfers, and terminations. Most insider computer security incidents have been found to involve former employees.
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https://doi.org/10.1007/978-94-015-7156-2isis, e.g., the federal government’s takeover of Fannie Mae and Freddie Mac and the fall of Lehman fell and Merrill Lynch. There is no doubt that risk management is an important and growing area in the uncertain world.
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Dieter Scharnweber,Susanne Bierbaumwhere decision makers are powerless to do anything but choose among given alternatives. It is suggested that a more fruitful approach would be for decision makers to take more control over this process, and use objectives to create alternatives, based on what the decision makers would like to achieve, and why objectives are important.
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