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
Risk or uncertainty assessments are used as aids to decision making in nearly every aspect of business, education, and government. As a follow-up to the author's bestselling Risk Assessment and Decision Making in Business and Industry: A Practical Guide, Risk Modeling for Determining Value and Decision Making presents comprehensive examples of risk
Everyday we face decisions that carry an element of risk and uncertainty. The ability to analyse, communicate and control the level of risk entailed by these decisions remains one of the most pressing challenges to the analyst, scientist and manager. This book presents the foundational issues in risk analysis ? expressing risk, understanding what risk means, building risk models, addressing uncertainty, and applying probability models to real problems. The principal aim of the book is to give the reader the knowledge and basic thinking they require to approach risk and uncertainty to support decision making. Presents a statistical framework for dealing with risk and uncertainty. Includes detailed coverage of building and applying risk models and methods. Offers new perspectives on risk, risk assessment and the use of parametric probability models. Highlights a number of applications from business and industry. Adopts a conceptual approach based on elementary probability calculus and statistical theory. Foundations of Risk Analysis provides a framework for understanding, conducting and using risk analysis suitable for advanced undergraduates, graduates, analysts and researchers from statistics, engineering, finance, medicine and the physical sciences, as well as for managers facing decision making problems involving risk and uncertainty.
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.
This book aims to encourage a more reflective, multidisciplinary approach to public safety, and the 'reenfranchisement' of those affected by this new phenomenon. Over the past decade health and safety has become a major issue of public interest. There are countless stories of health and safety activities interfering with public life, preventing some beneficial activity from taking place – even creating absurd or dangerous situations. On the one hand, risk assessment, properly conducted, is highly beneficial – it saves lives and prevents injuries. But on the other, it can damage public life. Why has this come about, and does it have to be like that? The authors examine the origins of the problem, look critically at the tools used by safety assessors and their underlying assumptions, and consider important differences between public life and industry (where the approaches largely originated). They illuminate the whole with an analysis of legal requirements, attitudes of stakeholders, and recent research on risk perception and decision making. The result is a profound and important analysis of risk and safety culture and a framework for managing public safety more effectively.
The ultimate guide to maximizing shareholder value through ERM The first book to introduce an emerging approach synthesizing ERM and value-based management, Corporate Value of Enterprise Risk Management clarifies ERM as a strategic business management approach that enhances strategic planning and other decision-making processes. A hot topic in the wake of a series of corporate scandals as well as the financial crisis Looks at ERM as a way to deliver on the promise of balancing risk and return A practical guide for corporate Chief Risk Officers (CROs) and other business professionals seeking to successfully implement ERM ERM is here to stay. Sharing his unique insights and experiences as a recognized global thought leader in this field, author Sim Segal offers world-class guidance on how your business can successfully implement ERM to protect and increase shareholder value.
Although many Bayesian Network (BN) applications are now in everyday use, BNs have not yet achieved mainstream penetration. Focusing on practical real-world problem solving and model building, as opposed to algorithms and theory, Risk Assessment and Decision Analysis with Bayesian Networks explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide powerful insights and better decision making. Provides all tools necessary to build and run realistic Bayesian network models Supplies extensive example models based on real risk assessment problems in a wide range of application domains provided; for example, finance, safety, systems reliability, law, and more Introduces all necessary mathematics, probability, and statistics as needed The book first establishes the basics of probability, risk, and building and using BN models, then goes into the detailed applications. The underlying BN algorithms appear in appendices rather than the main text since there is no need to understand them to build and use BN models. Keeping the body of the text free of intimidating mathematics, the book provides pragmatic advice about model building to ensure models are built efficiently. A dedicated website, www.BayesianRisk.com, contains executable versions of all of the models described, exercises and worked solutions for all chapters, PowerPoint slides, numerous other resources, and a free downloadable copy of the AgenaRisk software.
Dynamic Risk Assessment is the key tool to support a holistic risk management framework. This book aims to help employers, managers and staff alike to understand how they can effectively integrate dynamic risk assessment into business management processes and systems to improve safety. With tips, examples and solutions throughout, this multi-disciplinary text delivers an effective and comprehensive approach to help you to understand how dynamic risk assessment (DRA) can be integrated into predictive (PRA) and strategic risk assessments (SRA) to enhance your organization’s effectiveness. The 3-Level Risk Management Model fully supports and complements the systematic ‘five steps to risk assessment’ process A multi-disciplinary approach to dynamic risk assessment that covers workers operating in teams and those working alone within the public, private and third sectors Contains practical examples, tips and case studies drawn from a wide range of organizations The book comes with access to downloadable materials from an accompanying website at: www.routledge.com/cw/dynamic-risk-assessment
Information is a key resource for all enterprises. From the time information is created to the moment it is destroyed, technology plays a significant role in containing, distributing and analysing information. Technology is increasingly advanced and has become pervasive in enterprises and the social, public and business environments.
