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Every day, billions of human beings are making dozens of decisions that do not appear based on the same, seemingly sound mathematical principles they would apply to a gambling or investing situation. Yet these decisions are not irrational, rather they are the product of an innate sense pertaining to risk and opportunity. This Second Edition is presented for the non-mathematician (though the underlying math is provided for those who are interested), and not only gives reason to reconsider the bases we assess gambling and investing situations, but reveals this magnificent, innate ability we possess.For decades various mathematical notions have presented themselves which, though applicable to domains such as probability, game theory, operations research, and quantitative finance, have fallen essentially outside the purview of these various disciplines. Yet the concepts detailed in this text are all related, and taken together comprise their own niche-discipline, introduced here as Risk-Opportunity Analysis.
Risk management strategy for the pioneering technological sector Enterprise Risk and Opportunity Management provides much-needed guidance tailored specifically to the technological sector. While most enterprise risk management guides are written for traditional businesses and finance firms, this book translates effective enterprise risk and opportunity management (EROM) principles into strategies and practices that work for government, nonprofit, and for-profit organizations in the technological space. Originally designed for noncommercial pioneering enterprises like NASA, an entire chapter is now devoted toward applying the methods to profit-making technological enterprises. A 40-year veteran of the tech sector, Dr. Allan Benjamin outlines risk management strategies for organizations in which the advancement and integration of science and technology within complex systems is necessary for accomplishment of the mission. Commercial EROM strategies do not translate directly when the development and implementation of risky technologies is the organization's primary objective, and clumsy or near-sighted implementation can easily cripple progress. This book provides authoritative guidance tailored to the sector's specialized needs. Maximize opportunity while effectively managing risk Understand the core principles of the technological EROM approach and its interfaces with the management of the organization Comprehend the intricacies of aggregating risks and opportunities from lower to higher levels of the organization Gain expert insights specific to the technology sector Mitigate and control the risk that comes with pursuing discovery In practice, EROM in this sector involves working with mostly qualitative data, and is characterized by high uncertainty. Managing risk without handicapping the organization requires a specific set of adjustments to traditional EROM, and a more nuanced approach to the idea of "acceptable risk. Balance is key in technological EROM, and Enterprise Risk and Opportunity Management provides foundational guidance, real-world strategy, and enlightening examples for getting it right.
With step-by-step guidelines, this bestselling reference discusses the management of project opportunities by expanding the traditional risk management process to address opportunities alongside threats. It offers valuable tools and techniques that expose and capture opportunities, minimize threats, and deal with all types of uncertainty in your business and projects. Written by an experienced consultant and risk management specialist, this guide emphasizes that risk processes must cover both opportunities and threats if they are to assist in accomplishing project objectives and maximizing business benefits.
Effective risk and opportunity management is key to the successful delivery of any major engineering and construction project. This book looks at how all those involved can manage risk and capitalise on the opportunities that uncertainty present. The authors of this book highlight that uncertainties should be managed rather than avoided. This book will look at simple projects with a small team, to megaprojects where some hundreds of people are involved, and the consequences of delays or unforeseen costs. However, while the obvious risks can be planned for, the authors argue that it is often the opportunities in these situations that can have unexploited potential. This book is about opportunity management seen from the owner’s perspective. It will be an invaluable resource for those studying Engineering both undergraduate and postgraduate and set out ways in which projects should be managed from planning to completion. This book is also a great tool for those working in project management and the construction industry. While there are many books that demonstrate effective construction management, this book is the first of its kind to emphasise that there is opportunity in uncertainty, and possibility in the unexpected.
Dr. Hagen presents a complete system by which companies can more easily and consistently manage their portfolio of problems, risks, and opportunities. His methodology was based on a foundation of neuroscience and logical decision analytics.
This book looks at the critical demands imposed on directors and leaders when faced with corporate risks in turbulent global markets. It shows show why successful risk management outcomes require ethical governance principles and organizational structures that enhance effective risk-taking practices by all actors.
In response to a number of large corporate failures, risk management has recently become a major consideration for most organizations. At the same time, taxation has been recognized as an area having its own unique risk profiles. This book provides a practical guide for those working in today's ever-changing corporate environment. It contains an introduction to tax risk management and discussions on the tax control framework that allow corporate tax departments to identify and manage companies' tax-related risks. The book also includes country chapters, which provide practical examples of the development and application of tax control frameworks.
Risk, Opportunity, Uncertainty and Other Random Models (Volume V in the Working Guides to Estimating and Forecasting series) goes part way to debunking the myth that research and development cost are somewhat random, as under certain conditions they can be observed to follow a pattern of behaviour referred to as a Norden-Rayleigh Curve, which unfortunately has to be truncated to stop the myth from becoming a reality! However, there is a practical alternative in relation to a particular form of PERT-Beta Curve. However, the major emphasis of this volume is the use of Monte Carlo Simulation as a general technique for narrowing down potential outcomes of multiple interacting variables or cost drivers. Perhaps the most common of these in the evaluation of Risk, Opportunity and Uncertainty. The trouble is that many Monte Carlo Simulation tools are ‘black boxes’ and too few estimators and forecasters really appreciate what is happening inside the ‘black box’. This volume aims to resolve that and offers tips into things that might need to be considered to remove some of the uninformed random input that often creates a misinformed misconception of ‘it must be right!’ Monte Carlo Simulation can be used to model variable determine Critical Paths in a schedule, and is key to modelling Waiting Times and cues with random arisings. Supported by a wealth of figures and tables, this is a valuable resource for estimators, engineers, accountants, project risk specialists as well as students of cost engineering.
Guiding you through the key stages of designing and implementing an integrated EWRM process in your organisation, this text is centred on the Business Risk Model the author has developed for Arthur Andersen. It provides insight into the risk management practices of over 60 leading companies through in-depth interviews with their senior executives so you can learn from their experiences.
The Managing Risk and Opportunity Module is to introduce the tools, techniques and methodologies associated with risk and opportunity, that have been identified as being “best tested and proven” practices and which have been found to work on “most projects, most of the time”; provide a logical or rational sequence showing when those tools or techniques would normally and customarily be used and in selected instances, show how to use those tools/techniques and/or where to find additional information on how to use or apply them.