The premise of this book is that most activity in everyday life and work is based on tasks that are novel, infrequent in our experience, or variable with respect to the action to be taken. Such tasks require decisions to be made and actions taken in the face of ambiguous or incomplete information. Time pressure is frequently great and penalties for failure are severe. Examples include investing in markets, controlling industrial accidents, and detecting fraud. The environments in which such tasks occur defy a definition of optimal performance, yet the benefits of successful decision making are considerable. The authors refer to domains without criteria for optimal performance as competency-based and describe the able behaviour of individuals who work in them by the term competence. The chapters examine the propositions that metacognitive processes give structure to otherwise ill-structured tasks and are fundamental enablers of decision-making performance.

International Health and Safety at Work has been specially written in simple English for the thousands of students who complete the NEBOSH International General Certificate in Health and Safety each year. Fully revised in alignment with the 2019 syllabus, this fourth edition provides students with all they need to tackle the course with confidence. Clear, easily accessible information is presented in full colour, with discussion of essential principles such as ILO and OSH conventions as well as legal frameworks from a range of countries. The book features practice questions and answers to test knowledge and increase understanding. International Health and Safety at Work remains the most effective tool for those working to fit international health and safety standards to local needs and practice.

1) Details the entire lifecycle of a pipeline valve, including design, manufacture, installation and maintenance 2) Explains how to ensure pipeline valves are safe, cost effective and reliable 3) Includes case studies on welding, operation and material selection 4) Explains how to prevent environmental damage and minimise risk

1) Enables engineers to meet international standards such as ISO 55 000. 2) Includes statistics essential to basic understanding of reliability engineering theory 3) Covers both high and low budget plants, alongside describing how to retrofit older plants and how to set up new plants 4) Includes a chapter on root cause analysis

This is a reprint of 978-0-901357-47-2 Ergonomics in action: a practical guide for the workplace is a no-nonsense introduction to the principles of workplace ergonomics. The book is very user-friendly and written in a clear, jargon-free style, and gives straightforward explanations and practical examples. Useful summaries at the end of each chapter highlight key points at a glance. The book focuses on ergonomics in the design process, job design and work organisation. It covers specific areas of ergonomic importance; including hand tools, computer use and manual handling, and also addresses the complex and sometimes controversial topic of upper limb disorders. Ergonomics in action also includes a chapter on the basics of anthropometry and offers several practical case studies to illustrate the human and commercial benefits of following good ergonomic principles. As a consultant ergonomist, Celine McKeown has extensive experience of applying the principles of ergonomics to a wide variety of sectors. She also trains, advises and writes on a broad range of ergonomics and health and safety issues.

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

Is your business playing it safe&#8212or taking the right risks? If you read nothing else on managing risk, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help your company make smart decisions and thrive, even when the future is unclear. This book will inspire you to: Avoid the most common errors in risk management Understand the three distinct categories of risk and tailor your risk-management processes accordingly Embrace uncertainty as a key element of breakthrough innovation Adopt best practices for mitigating political threats Upgrade your organization's forecasting capabilities to gain a competitive edge Detect and neutralize cyberattacks originating inside your company This collection of articles includes "Managing Risks: A New Framework," by Robert S. Kaplan and Anette Mikes; "How to Build Risk into Your Business Model," by Karan Girotra and Serguei Netessine; "The Six Mistakes Executives Make in Risk Management," by Nassim N. Taleb, Daniel G. Goldstein, and Mark W. Spitznagel; "From Superstorms to Factory Fires: Managing Unpredictable Supply-Chain Disruptions," by David Simchi-Levi, William Schmidt, and Yehua Wei; "Is It Real? Can We Win? Is It Worth Doing?: Managing Risk and Reward in an Innovation Portfolio," by George S. Day; "Superforecasting: How to Upgrade Your Company's Judgment," by Paul J. H. Schoemaker and Philip E. Tetlock; "Managing 21st-Century Political Risk," by Condoleezza Rice and Amy Zegart; "How to Scandal-Proof Your Company," by Paul Healy and George Serafeim; "Beating the Odds When You Launch a New Venture," by Clark Gilbert and Matthew Eyring; "The Danger from Within," by David M. Upton and Sadie Creese; and "Future-Proof Your Climate Strategy," by Joseph E. Aldy and Gianfranco Gianfrate.

Behavioural studies have shown that while humans may be the best decision makers on the planet, we are not quite as good as we think we are. We are regularly subject to biases, inconsistencies and irrationalities in our decision making. Decision Behaviour, Analysis and Support, published in 2009, explores perspectives from many different disciplines to show how we can help decision makers to deliberate and make better decisions. It considers both the use of computers and databases to support decisions as well as human aids to building analyses and some fast and frugal tricks to aid more consistent decision making. In its exploration of decision support it draws together results and observations from decision theory, behavioural and psychological studies, artificial intelligence and information systems, philosophy, operational research and organisational studies. This provides a valuable resource for managers with decision-making responsibilities and students from a range of disciplines, including management, engineering and information systems.

Shanti S. Gupta has made pioneering contributions to ranking and selection theory; in particular, to subset selection theory. His list of publications and the numerous citations his publications have received over the last forty years will amply testify to this fact. Besides ranking and selection, his interests include order statistics and reliability theory. The first editor's association with Shanti Gupta goes back to 1965 when he came to Purdue to do his Ph.D. He has the good fortune of being a student, a colleague and a long-standing collaborator of Shanti Gupta. The second editor's association with Shanti Gupta began in 1978 when he started his research in the area of order statistics. During the past twenty years, he has collaborated with Shanti Gupta on several publications. We both feel that our lives have been enriched by our association with him. He has indeed been a friend, philosopher and guide to us.

Threats to an organization's operations, such as fraud, IT disruption or poorly designed products, could result in serious losses. Understand the key components of effective operational risk management with this essential book for risk professionals and students. Fundamentals of Operational Risk Management outlines how to implement a sound operational risk management framework which is embedded in day-to-day business activities. It covers the main operational risk tools including categorisation, risk and control self-assessment and scenario analysis, and explores the importance of risk appetite and tolerance. With case studies of major operational risk events to illustrate each concept, this book demonstrates the value of ORM and how it fits with other types of risk management. There is also guidance on the regulatory treatment of operational risk and the importance of risk culture in any organization. Master the essentials and improve the practice of operational risk management with this comprehensive guide.

Domestic and foreign financial assets of all central banks and public wealth funds world wide are estimated to have reached more than 12 trillion US dollars in 2007. How do these institutions manage such unprecedented growth in their financial assets and how have they responded to the 'revolution' of risk management techniques during the last fifteen years? This book surveys the fundamental issues and techniques associated with risk management and shows how central banks and other public investors can create better risk management systems. Each chapter looks at a specific area of risk management, first presenting general problems and then showing how these materialize in the special case of public institutions. Written by a team of risk management experts from the European Central Bank, this much-needed survey is an ideal resource for those concerned with the increasingly important task of managing risk in central banks and other financial institutions.

Do the reasons we have for acting as we do derive from our concerns and desires, or are there objective values in the world that we are rationally required to pursue and protect? Alan Goldman argues for the internalist or subjectivist view of practical reasons on the grounds that it is simpler, more unified, and more comprehensible than the rival objectivist position. He provides a naturalistic account of practical rationality in terms of coherence within sets of desires or motivational states, and between motivations, intentions, and actions. Coherence is defined as the avoidance of self-defeat, the defeat of one's own deepest concerns. The demand for coherence underlies both practical and theoretical reason and derives from the natural aims of belief and action. In clarifying which desires create reasons, drawing on the literature of cognitive psychology, Goldman offers conceptual analyses of desires, emotions, and attitudes. Reasons are seen to derive ultimately from our deepest occurrent concerns. These concerns require no reasons themselves but provide reasons for many more superficial desires.
In defense of this theory, Goldman argues that rational agents need not be morally motivated or concerned for their narrow self-interest. Objective values would demand such concern. They would be independent of our desires but would provide reasons for us to pursue and protect them. They would require rational agents to be motivated by them. But, Goldman argues, we are not motivated in that way, and it makes no sense to demand that our informed and coherent desires be generally other than they are. We need not appeal to such objective values in order to explain how our lives can be good and meaningful.
Reasons from Within will appeal to anyone interested in the nature of values and reasons, particularly students of philosophy, psychology, and decision theory.

The field of credit risk and corporate bankruptcy prediction has gained considerable momentum following the collapse of many large corporations around the world, and more recently through the sub-prime scandal in the United States. This book provides a thorough compendium of the different modelling approaches available in the field, including several new techniques that extend the horizons of future research and practice. Topics covered include probit models (in particular bivariate probit modelling), advanced logistic regression models (in particular mixed logit, nested logit and latent class models), survival analysis models, non-parametric techniques (particularly neural networks and recursive partitioning models), structural models and reduced form (intensity) modelling. Models and techniques are illustrated with empirical examples and are accompanied by a careful explanation of model derivation issues. This practical and empirically-based approach makes the book an ideal resource for all those concerned with credit risk and corporate bankruptcy, including academics, practitioners and regulators.

This book is a major new contribution to decision theory, focusing on the question of when it is rational to accept scientific theories. The author examines both Bayesian decision theory and confirmation theory, refining and elaborating the views of Ramsey and Savage. He argues that the most solid foundation for confirmation theory is to be found in decision theory, and he provides a decision-theoretic derivation of principles for how many probabilities should be revised over time. Professor Maher defines a notion of accepting a hypothesis, and then shows that it is not reducible to probability and that it is needed to deal with some important questions in the philosophy of science. A Bayesian decision-theoretic account of rational acceptance is provided together with a proof of the foundations for this theory. A final chapter shows how this account can be used to cast light on such vexing issues as verisimilitude and scientific realism.

This book defends the view that any adequate account of rational decision making must take a decision maker's beliefs about causal relations into account. The early chapters of the book introduce the non-specialist to the rudiments of expected utility theory. The major technical advance offered by the book is a 'representation theorem' that shows that both causal decision theory and its main rival, Richard Jeffrey's logic of decision, are both instances of a more general conditional decision theory. The book solves a long-standing problem for Jeffrey's theory by showing for the first time how to obtain a unique utility and probability representation for preferences and judgements of comparative likelihood. The book also contains a major new discussion of what it means to suppose that some event occurs or that some proposition is true. The most complete and robust defence of causal decision theory available.

"Improving Learning Environments" provides the first systematic comparative cross-national study of school disciplinary climates. In this volume, leading international social science researchers explore nine national case studies to identify the institutional determinants of variation in school discipline, the possible links between school environments and student achievement, as well as the implications of these findings for understanding social inequality.
As the book demonstrates, a better understanding of school discipline is essential to the formation of effective educational policies. Ultimately, to improve a school's ability to contribute to youth socialization and student internalization of positive social norms and values, any changes in school discipline must not only be responsive to behavior problems but should also work to enhance the legitimacy and moral authority of school actors.

The Oxford Handbook of Organizational Decision Making comprehensively surveys theory and research on organizational decision-making, broadly conceived. Emphasizing psychological perspectives, while encompassing the insights of economics, political science, and sociology, it provides coverage at the individual, group, organizational, and inter-organizational levels of analysis. In-depth case studies illustrate the practical implications of the work surveyed. Each chapter is authored by one or more leading scholars, thus ensuring that this Handbook is an authoritative reference work for academics, researchers, advanced students, and reflective practitioners concerned with decision-making in the areas of Management, Psychology, and HRM.

This highly original book aims to broaden the discussion about risk, the management of risk and regulation, especially in the financial industry. By using terms of the philosopher Jacques Derrida, Peter Pelzer employs philosophical concepts to enrich the understanding of what risk is about and what is necessarily excluded in contemporary risk management.

Decision analysis is a prescriptive theory that aids individuals or groups confronted with complex problems in a wide variety of contexts. By framing issues, identifying risks, eliciting stakeholder preferences, and suggesting alternative approaches, decision analysts can offer workable solutions in domains such as the environment, health and medicine, engineering and operations research, and public policy. This book is a mixture of historical and forward-looking essays on key topics in decision analysis. Part I covers the history and foundations of decision analysis. Part II discusses structuring decision problems, including the development of objectives and their attributes, and influence diagrams. Part III discusses probabilities and their elicitation and Bayes nets. Part IV discusses additive and multiplicative utilities, risk preferences, and 'option pricing' methods. Part V discusses risk analysis. Part VI puts decision analysis in a behavioral and organizational context. Part VII presents case studies of applications.

In Decision Space: Multidimensional Utility Analysis, first published in 2001, Paul Weirich increases the power and versatility of utility analysis and in the process advances decision theory. Combining traditional and novel methods of option evaluation into one systematic method of analysis, multidimensional utility analysis is a valuable tool. It provides formulations of important decision principles, such as the principle to maximize expected utility; enriches decision theory in solving recalcitrant decision problems; and provides in particular for the cases in which an expert must make a decision for a group of people. The multiple dimensions of this analysis create a decision space broad enough to accommodate all factors affecting an option's utility. The book will be of interest to advanced students and professionals working in the subject of decision theory, as well as to economists and other social scientists.

The concept of rationality is a common thread through the human and social sciences -- from political science to philosophy, from economics to sociology, and from management science to decision analysis. But what counts as rational action and rational behavior?
Jose Luis Bermudez explores decision theory as a theory of rationality. Decision theory is the mathematical theory of choice and for many social scientists it makes the concept of rationality mathematically tractable and scientifically legitimate.
Yet rationality is a concept with several dimensions and the theory of rationality has different roles to play. It plays an action-guiding role (prescribing what counts as a rational solution of a given decision problem). It plays a normative role (giving us the tools to pass judgment not just on how a decision problem was solved, but also on how it was set up in the first place). And it plays a predictive/explanatory role (telling us how rational agents will behave, or why they did what they did).
This controversial but accessible book shows that decision theory cannot play all of these roles simultaneously. And yet, it argues, no theory of rationality can play one role without playing the other two. The conclusion is that there is no hope of taking decision theory as a theory of rationality.

Engaging Resistance: How Ordinary People Successfully Champion Change offers an empirically based explanation that expands our understanding about the nature of resistance to organizational change and the effects of champion behavior. The text presents a new model describing how resistance occurs over time and details what change proponents can do throughout three engagement periods to effectively work with hesitant colleagues. The book's findings are illuminated by examples of six different resistance cases, embedded in the transformation sagas of two real-world organizations. A fundamental premise of this work is that resistance should not be something to avoid or squash as people work to change their organizations. In fact, resistance can be viewed as a natural, healthy part of an organic process. When engaged properly, resisters can help to improve change efforts and strengthen an organization's overall transformation.

Engaging Resistance: How Ordinary People Successfully Champion Change offers an empirically based explanation that expands our understanding about the nature of resistance to organizational change and the effects of champion behavior. The text presents a new model describing how resistance occurs over time and details what change proponents can do throughout three engagement periods to effectively work with hesitant colleagues. The book's findings are illuminated by examples of six different resistance cases, embedded in the transformation sagas of two real-world organizations. A fundamental premise of this work is that resistance should not be something to avoid or squash as people work to change their organizations. In fact, resistance can be viewed as a natural, healthy part of an organic process. When engaged properly, resisters can help to improve change efforts and strengthen an organization's overall transformation.

Winning takes many forms. For fans of Matthew Syed, this is a great sports book about leadership, judgement and decision-making - rooted in the theory that helped Ed Smith lead England cricket to sustained success. And to help us all win more. 'An absolutely fascinating book' THE GAME, The Times football pod How do you spot the opportunities that others miss? How do you turn a team's performance around? How do you make good decisions amid a tidal wave of information? And how can you improve? As chief selector for the England cricket team, Ed Smith pioneered new methods for building successful teams and watched his decisions tested in real time on the pitch. During his three-year tenure, England averaged 7 wins in every 10 completed matches, better than they have performed before or since. Making Decisions reveals Smith's unique approach to finding success in a fast-changing and increasingly data-reliant world. The best decisions, Smith argues, rely on a combination of differing kinds of intelligence: from algorithms to intuition. This is a truth that the most successful people know: data cannot account for everything, it must be harnessed with human insight. Whatever the power of data, humans aren't finished yet. Sharing for the first time the tools he introduced as England selector, Smith's book captures the immediacy of life at the sharp end, while also exploring frameworks from the top levels of sports, business and the arts. Decision-making is revealed as a creative enterprise, not a reductive system. Making Decisions offers an invaluable guide for those who want a better framework for developing, explaining and implementing new ideas.