Decision Making


Book Description

A compilation of different approaches--normative, descriptive,and prescriptive--develops this integrated analysis of decision-making that emphasizes the contributions of various disciplinary interests.




Blackwell Handbook of Judgment and Decision Making


Book Description

The Blackwell Handbook of Judgment and Decision Making is a state-of-the art overview of current topics and research in the study of how people make evaluations, draw inferences, and make decisions under conditions of uncertainty and conflict. Contains contributions by experts from various disciplines that reflect current trends and controversies on judgment and decision making. Provides a glimpse at the many approaches that have been taken in the study of judgment and decision making and portrays the major findings in the field. Presents examinations of the broader roles of social, emotional, and cultural influences on decision making. Explores applications of judgment and decision making research to important problems in a variety of professional contexts, including finance, accounting, medicine, public policy, and the law.




The Impact of Individual Expertise and Public Information on Group Decision-Making


Book Description

In this open-access-book the author concludes that expertise could be the key factor for global and interconnected problems. Experimental results have shown that expertise was a stronger predictor than public information regarding change in behavior and strategy adaption. Identifying non-routine problem-solving experts by efficient online assessments could lead to less volatile system performance, from which all decision-makers could potentially profit.




Handbook of the Economics of Risk and Uncertainty


Book Description

The need to understand the theories and applications of economic and finance risk has been clear to everyone since the financial crisis, and this collection of original essays proffers broad, high-level explanations of risk and uncertainty. The economics of risk and uncertainty is unlike most branches of economics in spanning from the individual decision-maker to the market (and indeed, social decisions), and ranging from purely theoretical analysis through individual experimentation, empirical analysis, and applied and policy decisions. It also has close and sometimes conflicting relationships with theoretical and applied statistics, and psychology. The aim of this volume is to provide an overview of diverse aspects of this field, ranging from classical and foundational work through current developments. - Presents coherent summaries of risk and uncertainty that inform major areas in economics and finance - Divides coverage between theoretical, empirical, and experimental findings - Makes the economics of risk and uncertainty accessible to scholars in fields outside economics




Judgment and Decision Making


Book Description

Behavioral decision research offers a distinctive approach to understanding and improving decision making. It combines theory and method from multiple disciples (psychology, economics, statistics, decision theory, management science). It employs both empirical methods, to study how decisions are actually made, and analytical ones, to study how decisions should be made and how consequential imperfections are. This book brings together key publications, selected to represent the major topics and approaches used in the field. Put in one place, with integrating commentary, it shows the common elements in a research program that represents the scope of the field, while offering depth in each. Together, they provide a vision for what has become a burgeoning field.




Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis


Book Description

This book integrates multiple criteria concepts and methods for problems within the Risk, Reliability and Maintenance (RRM) context. The concepts and foundations related to RRM are considered for this integration with multicriteria approaches. In the book, a general framework for building decision models is presented and this is illustrated in various chapters by discussing many different decision models related to the RRM context. The scope of the book is related to ways of how to integrate Applied Probability and Decision Making. In Applied Probability, this mainly includes: decision analysis and reliability theory, amongst other topics closely related to risk analysis and maintenance. In Decision Making, it includes a broad range of topics in MCDM (Multi-Criteria Decision Making) and MCDA (Multi-Criteria Decision Aiding; also known as Multi-Criteria Decision Analysis). In addition to decision analysis, some of the topics related to Mathematical Programming area are briefly considered, such as multiobjective optimization, since methods related to these topics have been applied to the context of RRM. The book addresses an innovative treatment for the decision making in RRM, thereby improving the integration of fundamental concepts from the areas of both RRM and decision making. This is accomplished by presenting an overview of the literature on decision making in RRM. Some pitfalls of decision models when applying them to RRM in practice are discussed and guidance on overcoming these drawbacks is offered. The procedure enables multicriteria models to be built for the RRM context, including guidance on choosing an appropriate multicriteria method for a particular problem faced in the RRM context. The book also includes many research advances in these topics. Most of the multicriteria decision models that are described are specific applications that have been influenced by this research and the advances in this field. Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis is implicitly structured in three parts, with 12 chapters. The first part deals with MCDM/A concepts methods and decision processes. The second part presents the main concepts and foundations of RRM. Finally the third part deals with specific decision problems in the RRM context approached with MCDM/A models.




Profiting From Uncertainty


Book Description

What manager is not anxious about the future? We live in a white-knuckled age of rapid technological change and global instability. But uncertainty is not the enemy, says management expert Paul J. H. Schoemaker. It is where the greatest opportunities are. To unlock these opportunities, however, requires a very different approach to strategy and implementation. In this pioneering book, Dr. Schoemaker presents a systematic approach that combines concepts such as scenario planning, options thinking, and dynamic monitoring to create novel strategies for profiting from ambiguity. Building on his experience with more than one hundred consulting projects in fields ranging from health care to manufacturing, from utilities to financial services, Schoemaker shows how major corporations throughout the world have used his pathbreaking methodology to prepare for an uncertain future and profit from it. In this first comprehensive approach to the subject, Schoemaker shows the reader (1) how to develop and analyze multiple industry scenarios, (2) craft nimble strategies with just the right amount of flexibility, (3) implement them using an options approach, and (4) make real-time adjustments through dynamic monitoring. As a leading academic thinker and practitioner, the author draws on the frontiers of decision science, organization theory, strategy, and cognitive psychology to integrate the most practical contributions these various fields have made to navigating uncertainty. More than any other capability, skill in seizing initiatives in shifting, unpredictable circumstances is the key to success. Profiting from Uncertainty provides a road map to do just that. This book was first published in 2002, well ahead of the mega turmoil that befell the world in 2008 and beyond. The methods and tools described here have been used by many companies and are even more relevant today than when originally published. You can’t do without them.




Rational Choice in an Uncertain World


Book Description

In the Second Edition of Rational Choice in an Uncertain World the authors compare the basic principles of rationality with actual behaviour in making decisions. They describe theories and research findings from the field of judgment and decision making in a non-technical manner, using anecdotes as a teaching device. Intended as an introductory textbook for advanced undergraduate and graduate students, the material not only is of scholarly interest but is practical as well. The Second Edition includes: - more coverage on the role of emotions, happiness, and general well-being in decisions - a summary of the new research on the neuroscience of decision processes - more discussion of the adaptive value of (non-rational heuristics) - expansion of the graphics for decision trees, probability trees, and Venn diagrams.




Decision Behaviour, Analysis and Support


Book Description

A multi-disciplinary exploration of how we can help decision makers to deliberate and make better decisions.