This book presents innovative theories, methodologies, and techniques in the field of risk management and decision making. It introduces new research developments and provides a comprehensive image of their potential applications to readers interested in the area. The collection includes: computational intelligence applications in decision making, multi-criteria decision making under risk, risk modelling,forecasting and evaluation, public security and community safety, risk management in supply chain and other business decision making, political risk management and disaster response systems. The book is directed to academic and applied researchers working on risk management, decision making, and management information systems.

Building upon the technical and organizational groundwork presented in the first edition, Risk Assessment and Decision Making in Business and Industry: A Practical Guide, Second Edition addresses the many aspects of risk/uncertainty (R/U) process implementation. This comprehensive volume covers four broad aspects of R/U: general concepts, i

Principles of Risk-Based Decision Making provides managers with the foundation for creating a proactive organizational culture that systematically incorporates risk into key decision-making processes. Based on methodology adopted by a number of organizations including the federal government, this book examines risk-based decision making as a process for organizing information about the possibility for unwanted outcomes in a simple, practical way that helps decision makers make timely, informed management choices that minimize harmful effects on safety and health, the environment, property loss, or mission success. Citing practical examples, charts, and checklists, the authors break the risk-based decision making process into five key components: establishing the decision structure, performing the risk assessment, managing sufficient risks, monitoring effectiveness of adopted risk controls through impact assessment, and facilitating risk communication. They examine each component in detail and outline available decision analysis and risk assessment tools that aid in each of these risk-based decision making functions. This book also walks readers through eight project management steps—from scoping a risk assessment to evaluating the recommendations—the components of each, and the importance of these steps to the success of a risk assessment. Special features include a table for applying the risk-based decision-making process, a hazard identification guidesheet, an example of human error, an acronym list, and a glossary.

IIE/Joint Publishers Book of the Year Award 2016! Awarded for ‘an outstanding published book that focuses on a facet of industrial engineering, improves education, or furthers the profession’. Engineering Decision Making and Risk Management emphasizes practical issues and examples of decision making with applications in engineering design and management Featuring a blend of theoretical and analytical aspects, this book presents multiple perspectives on decision making to better understand and improve risk management processes and decision-making systems. Engineering Decision Making and Risk Management uniquely presents and discusses three perspectives on decision making: problem solving, the decision-making process, and decision-making systems. The author highlights formal techniques for group decision making and game theory and includes numerical examples to compare and contrast different quantitative techniques. The importance of initially selecting the most appropriate decision-making process is emphasized through practical examples and applications that illustrate a variety of useful processes. Presenting an approach for modeling and improving decision-making systems, Engineering Decision Making and Risk Management also features: Theoretically sound and practical tools for decision making under uncertainty, multi-criteria decision making, group decision making, the value of information, and risk management Practical examples from both historical and current events that illustrate both good and bad decision making and risk management processes End-of-chapter exercises for readers to apply specific learning objectives and practice relevant skills A supplementary website with instructional support material, including worked solutions to the exercises, lesson plans, in-class activities, slides, and spreadsheets An excellent textbook for upper-undergraduate and graduate students, Engineering Decision Making and Risk Management is appropriate for courses on decision analysis, decision making, and risk management within the fields of engineering design, operations research, business and management science, and industrial and systems engineering. The book is also an ideal reference for academics and practitioners in business and management science, operations research, engineering design, systems engineering, applied mathematics, and statistics.

In every decision context there are things we know and things we do not know. Risk analysis uses science and the best available evidence to assess what we know-and it is intentional in the way it addresses the importance of the things we don't know. Principles of Risk Analysis: Decision Making Under Uncertainty lays out the tasks of risk analysis i

Risk assessment has become a dominant public policy tool for making choices, based on limited resources, to protect public health and the environment. It has been instrumental to the mission of the U.S. Environmental Protection Agency (EPA) as well as other federal agencies in evaluating public health concerns, informing regulatory and technological decisions, prioritizing research needs and funding, and in developing approaches for cost-benefit analysis. However, risk assessment is at a crossroads. Despite advances in the field, risk assessment faces a number of significant challenges including lengthy delays in making complex decisions; lack of data leading to significant uncertainty in risk assessments; and many chemicals in the marketplace that have not been evaluated and emerging agents requiring assessment. Science and Decisions makes practical scientific and technical recommendations to address these challenges. This book is a complement to the widely used 1983 National Academies book, Risk Assessment in the Federal Government (also known as the Red Book). The earlier book established a framework for the concepts and conduct of risk assessment that has been adopted by numerous expert committees, regulatory agencies, and public health institutions. The new book embeds these concepts within a broader framework for risk-based decision-making. Together, these are essential references for those working in the regulatory and public health fields.

Risks are an integral part of complex, high-stakes decisions, and decisionmakers are faced with the unavoidable tasks of assessing risks and forming risk preferences. This is true for all decision domains, including financial, environmental, and foreign policy domains, among others. How well decisionmakers deal with risk affects, to a considerable extent, the quality of their decisions. This book provides the most comprehensive analysis available of the elements that influence risk judgments and preferences. The book has two dimensions: theoretical and comparative-historical. The study of risk-taking behavior has been dominated by the rational choice approach. Instead, the author adopts a socio-cognitive approach involving: a multivariate theory integrating contextual, cognitive, motivational, and personality factors that affect an individual decisionmaker's judgment and preferences; the social interaction and structural effects of the decisionmaking group and its organizational setting; and the role of cultural-societal values and norms that sanction or discourage risk taking behavior. The book's theoretical approach is applied and tested in five historical case studies of foreign military interventions. The richly detailed empirical data on the case studies make them, metaphorically speaking, an ideal laboratory for applying a process-tracing approach in studying judgment and decision processes at varying risk levels. The case studies analyzed are: U.S. interventions in Grenada in 1983 and Panama in 1989 (both low risk); Soviet intervention in Czechoslovakia in 1968 (moderate risk): U.S. intervention in Vietnam in 1964-68 (high risk); and Israel's intervention in Lebanon in 1982-83 (high risk).

Singh introduces valuable techniques for weighing and evaluating alternatives in decision making with a focus on risk analysis for identifying, quantifying, and mitigating risks associated with construction projects.

In Global Risk Agility and Decision Making, Daniel Wagner and Dante Disparte, two leading authorities in global risk management, make a compelling case for the need to bring traditional approaches to risk management and decision making into the twenty-first century. Based on their own deep and multi-faceted experience in risk management across numerous firms in dozens of countries, the authors call for a greater sense of urgency from corporate boards, decision makers, line managers, policymakers, and risk practitioners to address and resolve the plethora of challenges facing today’s private and public sector organizations. Set against the era of manmade risk, where transnational terrorism, cyber risk, and climate change are making traditional risk models increasingly obsolete, they argue that remaining passively on the side-lines of the global economy is dangerous, and that understanding and actively engaging the world is central to achieving risk agility. Their definition of risk agility taps into the survival and risk-taking instincts of the entrepreneur while establishing an organizational imperative focused on collective survival. The agile risk manager is part sociologist, anthropologist, psychologist, and quant. Risk agility implies not treating risk as a cost of doing business, but as a catalyst for growth. Wagner and Disparte bring the concept of risk agility to life through a series of case studies that cut across industries, countries and the public and private sectors. The rich, real-world examples underscore how once mighty organizations can be brought to their knees—and even their demise by simple miscalculations or a failure to just do the right thing. The reader is offered deep insights into specific risk domains that are shaping our world, including terrorism, cyber risk, climate change, and economic resource nationalism, as well as a frame of reference from which to think about risk management and decision making in our increasingly complicated world. This easily digestible book will shed new light on the often complex discipline of risk management. Readers will learn how risk management is being transformed from a business prevention function to a values-based framework for thriving in increasingly perilous times. From tackling governance structures and the tone at the top to advocating for greater transparency and adherence to value systems, this book will establish a new generation of risk leader, with clarion voices calling for greater risk agility. The rise of agile decision makers coincides with greater resilience and responsiveness in the era of manmade risk.