For businesses to grow and be successful their approach to resilience must be defined by a holistic and risk-focused outlook, rather than one which is narrow and dominated by event-oriented continuity practices. The Organizational Resilience Handbook shows that success is as much to do with innovation and the speed with which new products are brought to market as it is with organizations having to deal with unexpected crisis situations. It comprehensively covers the full breadth and depth of the field and introduces related topics such as security, safety, e-commerce, emerging technologies and customer experience. Through adopting a strategic and progressive approach, practitioners can apply the book's methodology to develop an in-depth understanding of resilience within their own organization and use it to effectively engage with the board and senior management in developing strategies for achieving greater resilience capability. A range of high-profile case studies, such as Mercedes, the UK's National Health Service, Alibaba and BP, help to illustrate the concept of resilience by detailing characteristics and behaviours which confirm its meaning. The Organizational Resilience Handbook is a practical guide to self-assessment, benchmarking performance and implementing resilience frameworks in any organization.

Chance inevitably plays a role in law but it is not often that we consciously try to import an element of randomness into a legal process. Random Justice: On Lotteries and Legal Decision-Making explores the potential for the use of lotteries in social, and particularly legal, decision-making contexts. Utilizing a variety of disciplines and materials, Neil Duxbury considers in detail the history, advantages, and drawbacks of deciding issues of social significance by lot and argues that the value of the lottery as a legal decision-making device has generally been underestimated. The very fact that there exists widespread resistance to the use of lotteries for legal decision-making purposes betrays a commonly held belief that legal processes are generally more important than are legal outcomes. Where, owing to the existence of indeterminacy, the process of reasoning is likely to be excessively protracted and the reasons provided strongly contestable, the most cost-efficient and impartial decision-making strategy may well be recourse to lot. Aversion to this strategy, while generally understandable, is not necessarily rational. Yet in law, as Professor Duxbury demonstrates, reason is generally valued more highly than is rationality. The lottery is often conceived to be a decision-making device that operates in isolation. Yet lotteries can frequently and profitably be incorporated into other decision-frameworks. The book concludes by controversially considering how lotteries might be so incorporated and also advances the thesis that it may sometimes be sensible to require that adjudication takes place in the shadow of a lottery.

Of all cancers, probably breast cancer is one of the most emotive. Increasingly patients with breast cancer are participating in the surgical and/or medical decision about their treatment. This involvement raises ethical issues about the rights of patients and their ability to give an informed consent, concerns about the process of communication betwen the medical staff and the patient, and also issues about the psychology of not only the woman with breast cancer, but also the doctor. This book addresses these issues relating to shared decision making and in particular those areas where a choice of treatment option involves some degree of risk/benefit analysis. It covers the ethical principles and then looks at the evidence that women who wish to participate and who are fully informed and who have taken part in the decision making process regarding their treatment, and who have a positive attitude towards their illness, tend to do better in the long run. Appropriate experts have contributed sections on the different treatment options to provide a brief overview of the treatments available and highlight the issues that should be considered by the woman and the doctor in the decision making process. There is also a section on the patients perspective and vignettes throughout to illustrate dilemmas the paitent faces and the importance of communication. Written for the surgical, medical and clinical oncologists who deal with breast cancer patients and senior nurses in breast cancer units, this book will also be of interest to trainees practising oncologists, and the women themselves who are interested in the shared decision making process in oncology generally.

This book presents recent advances in the theory and application of the Best-Worst Method (BWM). It includes selected papers from the Second International Workshop on Best-Worst Method (BWM2021), held in Delft, The Netherlands from 10-11 June, 2021, and provides valuable insights on why and how to use BWM in a diverse range of applications including health, energy, supply chain management, and engineering. The book highlights the use of BWM in different settings including single decision-making vs group decision-making, and complete information vs incomplete and uncertain situations. The papers gathered here will benefit academics and practitioners who are involved in multi-criteria decision-making and decision analysis.

Quantitative risk assessments cannot eliminate risk, nor can they resolve trade-offs. They can, however, guide principled risk management and reduction - if the quality of assessment is high and decision makers understand how to use it. This book builds a unifying scientific framework for discussing and evaluating the quality of risk assessments and whether they are fit for purpose. Uncertainty is a central topic. In practice, uncertainties about inputs are rarely reflected in assessments, with the result that many safety measures are considered unjustified. Other topics include the meaning of a probability, the use of probability models, the use of Bayesian ideas and techniques, and the use of risk assessment in a practical decision-making context. Written for professionals, as well as graduate students and researchers, the book assumes basic probability, statistics and risk assessment methods. Examples make concepts concrete, and three extended case studies show the scientific framework in action.

This book presents a consistent methodology for making decisions under uncertain conditions, as is almost always the case. Tools such as value of information and value of flexibility are explored as a means to make more complex and nuanced decisions. The book develops the complete formalism for assessing the value of acquiring information with two novel approaches. Firstly, it integrates the fuzzy characteristics of data, and secondly develops a methodology for assessing data acquisition actions that optimize the value of projects from a holistic perspective. The book also discusses the formalism for including flexibility in the project decision assessment. Practical examples of oil- and gas-related decision problems are included and discussed to facilitate the learning process. This book provides valuable advice and case studies applicable to engineers, researchers, and graduate students, particularly in the oil and gas industry and pharmaceutic industry.

This book provides in-depth guidance on how to use multi-criteria decision analysis methods for risk assessment and risk management. The frontiers of engineering operations management methods for identifying the risks, investigating their roles, analyzing the complex cause-effect relationships, and proposing countermeasures for risk mitigation are presented in this book. There is a total of ten chapters, mainly including the indicators and organizational models for risk assessment, the integrated Bayesian Best-Worst method and classifiable TOPSIS model for risk assessment, new risk prioritization model, fuzzy risk assessment under uncertainties, assessment of COVID-19 transmission risk based on fuzzy inference system, risk assessment and mitigation based on simulation output analysis, energy supply risk analysis, risk assessment and management in cash-in-transit vehicle routing problems, and sustainability risks of resource-exhausted cities. The most significant feature of this book is that it provides various systematic multi-criteria decision analysis methods for risk assessment and management, and illustrates the application of these methods in different fields. This book is beneficial to policymakers, decision-makers, experts, researchers and students related to risk assessment and management.

Prospect Theory: For Risk and Ambiguity provides the first comprehensive and accessible textbook treatment of the way decisions are made both when we have the statistical probabilities associated with uncertain future events (risk) and when we lack them (ambiguity). The book presents models, primarily prospect theory, that are both tractable and psychologically realistic. A method of presentation is chosen that makes the empirical meaning of each theoretical model completely transparent. Prospect theory has many applications in a wide variety of disciplines. The material in the book has been carefully organized to allow readers to select pathways through the book relevant to their own interests. With numerous exercises and worked examples, the book is ideally suited to the needs of students taking courses in decision theory in economics, mathematics, finance, psychology, management science, health, computer science, Bayesian statistics, and engineering.

In Being Rational and Being Right, Juan Comesana argues for a cluster of theses related to the rationality of action and belief. His starting point is that rational action requires rational belief but tolerates false belief. From there, Comesana provides a novel account of empirical evidence according to which said evidence consists of the content of undefeated experiences. This view, which Comesana calls "Experientialism," differs from the two main views of empirical evidence on offer nowadays: Factualism, according to which our evidence is what we know, and Psychologism, according to which our experiences themselves are evidence. He reasons that Experientialism fares better than these rival views in explaining different features of rational belief and action. Comesana embeds this discussion in a Bayesian framework, and discusses in addition the problem of normative requirements, the easy knowledge problem, and how Experientialism compares to Evidentialism, Reliabilism, and Comesana's own (now superseded) Evidentialist Reliabilism.

The consequences of taking on risk can be ruinous to personal finances, professional careers, corporate survivability, and even nation states. Yet many risk managers do not have a clear understanding of the basics. Requiring no statistical or mathematical background, The Fundamental Rules of Risk Management gives you the knowledge to successfully handle risk in your organization. The book begins with a deep investigation into the behavioral roots of risk. Using both historical and contemporary contexts, author Nigel Da Costa Lewis carefully details the indisputable truths surrounding many of the behavioral biases that induce risk. He exposes the fallacy of the wisdom of experts, explains why you cannot rely on regulators, outlines the characteristics of the "glad game," and demonstrates how high intelligence or lack thereof can lead to loss of hard-earned wealth. He also discusses the weaknesses and failures of modern risk management. Moving on to elements often overlooked by risk managers, Dr. Lewis traces the link between corporate governance and risk management. He then covers core lessons surrounding the role of risk managers as well as the difficult subject of integrated, single lens analysis of risk. The book also explores aspects of spreadsheet risk and draws on lessons learned in the information systems and software engineering communities to provide guidance on selecting the right risk management system. It concludes with a discussion on the most dominant of risk measures-value at risk. Having a clear understanding about risk separates successful professionals, companies, and economies from history's forgotten failures. Through examples and case studies, this thought-provoking book shows how the rules of risk can work to protect and enhance investor value.

Dieses Open-Access-Buch zur Consumer Decision Neuroscience verfolgt das Ziel, durch die Integration neurowissenschaftlicher Methoden in die Kaufer- und Konsumentenverhaltensforschung die Identifikation verhaltensrelevanter, neurophysiologischer Variablen zu ermoeglichen, um darauf aufbauend eine Theorieerweiterung zu schaffen. In ausgewahlten Beitragen werden Kaufer- und Konsumentenentscheidungsprozesse anhand verschiedener methodischer, neurowissenschaftlich fundierter Herangehensweisen empirisch untersucht, um die Entscheidungsprozesse umfassend beschreiben, effektiver unterstutzen und erfolgreich vorhersagen zu koennen.

This book begins with the fundamental large sample theory, estimating ruin probability, and ends by dealing with the latest issues of estimating the Gerber-Shiu function. This book is the first to introduce the recent development of statistical methodologies in risk theory (ruin theory) as well as their mathematical validities. Asymptotic theory of parametric and nonparametric inference for the ruin-related quantities is discussed under the setting of not only classical compound Poisson risk processes (Cramer-Lundberg model) but also more general Levy insurance risk processes. The recent development of risk theory can deal with many kinds of ruin-related quantities: the probability of ruin as well as Gerber-Shiu's discounted penalty function, both of which are useful in insurance risk management and in financial credit risk analysis. In those areas, the common stochastic models are used in the context of the structural approach of companies' default. So far, the probabilistic point of view has been the main concern for academic researchers. However, this book emphasizes the statistical point of view because identifying the risk model is always necessary and is crucial in the final step of practical risk management.

This book is a joint endeavour of the three partner universities to develop a book with in-depth and state-of-art analysis for the academic community of East Asia and the world. Past disasters, like the 2008 Great Sichuan Earthquake in China and the 2011 Great East Japan Earthquake, saw good efforts of East Asian countries in helping each other. Such a trend has been further strengthened in these countries' recent cooperation and mutual support in their fight against Covid-19 pandemic. While China, Japan, and South Korea are geographically and culturally contiguous and hence may share some characteristics in their risk management principles and practices, there may also be many significant differences due to their different socioeconomic and political systems. The commonalities and variances in East Asia risk management systems are also reflected by their recent responses to the Covid-19 challenges. While all three countries demonstrated overall success in controlling the epidemic, the measures taken by them were different. This research will be of interest to policymakers, scholars and economists.

Teachers stand at the intersection of educational goals, directing students down the road to success or to the byways of diminished opportunities. They are the most important school variable effecting student achievement. Consequently, placing and retaining only qualified and effective teachers in our nation's classrooms is a critical responsibility of school leaders. Effective supervision and evaluation requires that the school leader possess the knowledge of effective instruction, exhibit skills in documentation of professional conduct, and embrace a professional approach with the will to place and keep students at the center of school policy and practice decisions. Supervising and evaluating teachers is a difficult, but essential work. Research shows that time and expertise are necessary to effectively supervise and to build a case for adverse employment decisions, when necessary. Threading the Evaluation Needle: The Documentation of Teacher Unprofessional Conduct addresses the legal and professional knowledge that structures discipline and dismissal in the public schools. The authors, based on their educational, legal, and research experience, provide templates for various types of documentation necessary to effectively build a case for discipline. This book seeks to give principals the tools and knowledge to institute in good faith a fair and accurate documentation system.

The greatest challenge we face in dealing with the complexity of our world? To think again and to think better. In a world that challenges us with ever more complicated problems, the quality of our thinking is a critical game-changer. As individuals, organisations, societies, and cultures, we need to cultivate thinking that is both insightful and farsighted. We must learn how to mobilise and apply intelligence that goes beyond the ordinary - one that continuously exceeds its own limits. The Postgraduate School of Thinking, at the Vrije Universiteit in Brussels (VUB), is an experimental program with the mission of challenging us all to achieve just that. Deploying an innovative combination of mobilisation methods, the program sets out to define the cognitive strategies, practices, and habits that are the marks of exceptional thinkers. This book features a variety of interdisciplinary research articles and discussions that invite us to explore our capacity for extraordinary thinking.

Apart from its foray into technical issues of risk assessment and management, this book has one principal aim. With situations of chancy outcomes certain key factors-including outcome possibilities, overall expectation, threat, and even luck-are measurable parameters. But risk is something different: it is not measurable a single parametric quantity, but a many-sided factor that has several different components, and constitutes a complex phenomenon that must be assessed judgmentally in a highly contextualized way. This book explains and analyzes how this works out in practice. Topics in this work include choice and risk, chance and likelihood, as well as outcome-yield evaluation and risk. It takes into account abnormal situations and eccentric measurements, situational evaluation and expectation and scrutinizes the social aspect of risk. The book is of interest to logicians, philosophers of mathematics, and researchers of risk assessment. The project is a companion piece to the author's LUCK THEORY, also published by Springer.

Aware that a single crisis event can devastate their business, managers must be prepared for the worst from an expansive array of threats. The Routledge Companion to Risk, Crisis and Security in Business comprises a professional and scholarly collection of work in this critical field. Risks come in many varieties, and there is a growing concern for organizations to respond to the challenge. Businesses can be severely impacted by natural and man-made disasters including: floods, earthquakes, tsunami, environmental threats, terrorism, supply chain risks, pandemics, and white-collar crime. An organization's resilience is dependent not only on their own system security and infrastructure, but also on the wider infrastructure providing health and safety, utilities, transportation, and communication. Developments in risk security and management knowledge offer a path towards resilience and recovery through effective leadership in crisis situations. The growing body of knowledge in research and methodologies is a basis for decisions to safeguard people and assets, and to ensure the survivability of an organization from a crisis. Not only can businesses become more secure through risk management, but an effective program can also facilitate innovation and afford new opportunities. With chapters written by an international selection of leading experts, this book fills a crucial gap in our current knowledge of risk, crisis and security in business by exploring a broad spectrum of topics in the field. Edited by a globally-recognized expert on risk, this book is a vital reference for researchers, professionals and students with an interest in current scholarship in this expanding discipline.

In Even the Odds, Karen Firestone explains how risk assessment plays a prominent role in all aspects of life. We may all define risk, and our tolerance for it, somewhat differently, but we might all agree it plays a pivotal role in guiding us toward an optimal outcome. As a long-time investment advisor, Firestone has grown accustomed to interpreting risk on a daily basis. She has developed four core tenets of risk-taking we can all apply to anticipating, evaluating, and responding to the risks we face in our business, investing, and personal lives. These tenets are right-sizing; right-timing; relying on skill, knowledge, and experience; and staying skeptical about numbers, promises, and forecasts. Firestone's approach is both practical and accessible to individuals who are making important decisions, such as embarking on new career or life changes, starting or running an enterprise, making a sizable investment, or deciding how to balance across a full portfolio of assets. The book is rich with anecdotes and examples of how many prominent leaders in their fields encountered and dealt with risk along the way. Firestone also shares her own successes and failures, in particular when she decided to risk it all--a fabulous career managing billions of dollars at a premium investment company, her reputation, and the security at home that comes with a strong and stable job--to go out on her own. Even the Odds helps us understand the broader implications of risk--and how it guides our decision-making--so that we can improve outcomes across multiple facets of our lives, from our businesses and investments, to the personal choices we make.

This book presents the concept of the double hierarchy linguistic term set and its extensions, which can deal with dynamic and complex decision-making problems. With the rapid development of science and technology and the acceleration of information updating, the complexity of decision-making problems has become increasingly obvious. This book provides a comprehensive and systematic introduction to the latest research in the field, including measurement methods, consistency methods, group consensus and large-scale group consensus decision-making methods, as well as their practical applications. Intended for engineers, technicians, and researchers in the fields of computer linguistics, operations research, information science, management science and engineering, it also serves as a textbook for postgraduate and senior undergraduate university students.

Info-metrics is a framework for modeling, reasoning, and drawing inferences under conditions of noisy and insufficient information. It is an interdisciplinary framework situated at the intersection of information theory, statistical inference, and decision-making under uncertainty. In Advances in Info-Metrics, Min Chen, J. Michael Dunn, Amos Golan, and Aman Ullah bring together a group of thirty experts to expand the study of info-metrics across the sciences and demonstrate how to solve problems using this interdisciplinary framework. Building on the theoretical underpinnings of info-metrics, the volume sheds new light on statistical inference, information, and general problem solving. The book explores the basis of information-theoretic inference and its mathematical and philosophical foundations. It emphasizes the interrelationship between information and inference and includes explanations of model building, theory creation, estimation, prediction, and decision making. Each of the nineteen chapters provides the necessary tools for using the info-metrics framework to solve a problem. The collection covers recent developments in the field, as well as many new cross-disciplinary case studies and examples. Designed to be accessible for researchers, graduate students, and practitioners across disciplines, this book provides a clear, hands-on experience for readers interested in solving problems when presented with incomplete and imperfect information.

This book constitutes the refereed proceedings of the 21st International Conference on Group Decision and Negotiation, GDN 2021, which was planned to be held in Toronto, ON, Canada, during June 6-10, 2021. The conference was held virtually due to the COVID-19 pandemic.The field of Group Decision and Negotiation focuses on decision processes with at least two participants and a common goal but conflicting individual goals. Research areas of Group Decision and Negotiation include electronic negotiations, experiments, the role of emotions in group decision and negotiations, preference elicitation and decision support for group decisions and negotiations, and conflict resolution principles. The 12 full papers presented in this volume were carefully reviewed and selected from 74 submissions. They were organized in topical sections as follows: pandemic responses; preference modeling for group decision and negotiation; conflict resolution; and collaborative decision making processes.

"Pullman offers his readers essential insights into how humans reason and make decisions. Both concise and far-reaching, his work teaches us how to challenge intuitive logic and examine the processes for deliberative reasoning. This text will prove foundational for students in their intellectual journey toward the development of real skills in critical thinking. By pointing to simple yet profound examples, Pullman's text is both readable and provocative as it challenges us to consider the very mechanisms by which we understand our own cognitive biases." --Bradley A. Hammer, Department of English and Comparative Literature, University of North Carolina, Chapel Hill

In mainstream economics, and particularly in New Keynesian macroeconomics, the booms and busts that characterize capitalism arise because of large external shocks. The combination of these shocks and the slow adjustments of wages and prices by rational agents leads to cyclical movements. In this book, Paul De Grauwe argues for a different macroeconomics model--one that works with an internal explanation of the business cycle and factors in agents' limited cognitive abilities. By creating a behavioral model that is not dependent on the prevailing concept of rationality, De Grauwe is better able to explain the fluctuations of economic activity that are an endemic feature of market economies. This new approach illustrates a richer macroeconomic dynamic that provides for a better understanding of fluctuations in output and inflation.

De Grauwe shows that the behavioral model is driven by self-fulfilling waves of optimism and pessimism, or animal spirits. Booms and busts in economic activity are therefore natural outcomes of a behavioral model. The author uses this to analyze central issues in monetary policies, such as output stabilization, before extending his investigation into asset markets and more sophisticated forecasting rules. He also examines how well the theoretical predictions of the behavioral model perform when confronted with empirical data. Develops a behavioral macroeconomic model that assumes agents have limited cognitive abilities Shows how booms and busts are characteristic of market economies Explores the larger role of the central bank in the behavioral model Examines the destabilizing aspects of asset markets