Decision Making Under Uncertainty


Book Description

An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.




Marketing Decisions Under Uncertainty


Book Description

Remarkable advance in quantitative marketing research in the last two decades, incorporating applied microeconomic theories, operations research and management applications, has brought the field of marketing alongside with finance, accounting and productionto within an executive'sreach for a sophisticatedtoolbox for decision making in an increasingly competitive and complex business environment. A quick look at Marketing, a recently published book edited by Eliashberg and Lilien would indicate even to the casual reader the extent of such methodological progress made by marketing scholars. Even in such an impressive and nearly exhaustive collection oftopics, with the notable exception pointed out by the editors of applicationsofthe scanner data, and in spite of the reference to it, an important omission is related to the issues ofmarketing decisions under conditions ofuncertainty. It is fairly obvious to the marketing executive and academician alike to recognize the important role uncertaintyplays in marketingdecisions such as pricing, promotion, advertising, sales force management, and others. The major purpose of this study is to address certain major marketing decision variables within the general context of an uncertain environment. While there have been significant progresses in analyzing marketing behaviors in a stochastic environment,the sourcesscatteramong differentmanagementandmarketingjoumals; and to the extent that these issues are addressed at all, they have aimed mainly at each separate, specifictopic at a time. Thus, our effort to bring these studies together in the same framework should facilitate our in-depth analysis of these important phenomena.




Investment under Uncertainty


Book Description

How should firms decide whether and when to invest in new capital equipment, additions to their workforce, or the development of new products? Why have traditional economic models of investment failed to explain the behavior of investment spending in the United States and other countries? In this book, Avinash Dixit and Robert Pindyck provide the first detailed exposition of a new theoretical approach to the capital investment decisions of firms, stressing the irreversibility of most investment decisions, and the ongoing uncertainty of the economic environment in which these decisions are made. In so doing, they answer important questions about investment decisions and the behavior of investment spending. This new approach to investment recognizes the option value of waiting for better (but never complete) information. It exploits an analogy with the theory of options in financial markets, which permits a much richer dynamic framework than was possible with the traditional theory of investment. The authors present the new theory in a clear and systematic way, and consolidate, synthesize, and extend the various strands of research that have come out of the theory. Their book shows the importance of the theory for understanding investment behavior of firms; develops the implications of this theory for industry dynamics and for government policy concerning investment; and shows how the theory can be applied to specific industries and to a wide variety of business problems.




Uncertainty and Behaviour


Book Description

Uncertainty affects us in our everyday lives, and in a wide range of situations but how do individuals and indeed organisations respond to uncertainty and how does it impact their decision-making and actions? Based on the latest developments in academic research, the author offers solid advice on how to manage uncertainty in every-day life, bringing a new perspective to these issues and extrapolating this to offer implications for an organisational and managerial context. The author brings this emerging area of research to a wider audience by: Tying together insights from various fields including psychology, engineering, business and management. Creating a framework for usefully applying the research concepts in every-day life. Extrapolating insights from the psychology of individual decision makers to the organisational context and managerial decision-making. Creating highly applicable and impactful recommendations for how managers, organisations, and every day people can understand and manage uncertainty in their life. The book is divided into two main parts. Part I deals with the behaviour of individuals facing uncertainty and includes accessible explanations and examples of every-day applications, while Part II deals with behaviour in organisations facing uncertainty, where insights from Part I are combined and related to the organisational and work context to explore how, for example, (mis)-perceptions and decision-making biases impact managerial life. This is a must read for both managers and those who are seeking to better understand their own behaviour and management approach.




Decision Making Under Uncertainty


Book Description

These authors draw on nearly 50 years of combined teaching and consulting experience to give readers a straightforward yet systematic approach for making estimates about the likelihood and consequences of future events -- and then using those assessments to arrive at sound decisions. The book's real-world cases, supplemented with expository text and spreadsheets, help readers master such techniques as decision trees and simulation, such concepts as probability, the value of information, and strategic gaming; and such applications as inventory stocking problems, bidding situations, and negotiating.




Radical Uncertainty: Decision-Making Beyond the Numbers


Book Description

Much economic advice is bogus quantification, warn two leading experts in this essential book, now with a preface on COVID-19. Invented numbers offer a false sense of security; we need instead robust narratives that give us the confidence to manage uncertainty. “An elegant and careful guide to thinking about personal and social economics, especially in a time of uncertainty. The timing is impeccable." — Christine Kenneally, New York Times Book Review Some uncertainties are resolvable. The insurance industry’s actuarial tables and the gambler’s roulette wheel both yield to the tools of probability theory. Most situations in life, however, involve a deeper kind of uncertainty, a radical uncertainty for which historical data provide no useful guidance to future outcomes. Radical uncertainty concerns events whose determinants are insufficiently understood for probabilities to be known or forecasting possible. Before President Barack Obama made the fateful decision to send in the Navy Seals, his advisers offered him wildly divergent estimates of the odds that Osama bin Laden would be in the Abbottabad compound. In 2000, no one—not least Steve Jobs—knew what a smartphone was; how could anyone have predicted how many would be sold in 2020? And financial advisers who confidently provide the information required in the standard retirement planning package—what will interest rates, the cost of living, and your state of health be in 2050?—demonstrate only that their advice is worthless. The limits of certainty demonstrate the power of human judgment over artificial intelligence. In most critical decisions there can be no forecasts or probability distributions on which we might sensibly rely. Instead of inventing numbers to fill the gaps in our knowledge, we should adopt business, political, and personal strategies that will be robust to alternative futures and resilient to unpredictable events. Within the security of such a robust and resilient reference narrative, uncertainty can be embraced, because it is the source of creativity, excitement, and profit.




Uncertainty Advantage


Book Description

Risk and uncertainty may sound scary, but todays best business leaders are navigating both to gain strategic advantage over competitorsand you can, too. This guide for business leaders examines risk and opportunity through the lens of some of the worlds most respected visionaries, including Howard Schultz, Andy Grove, Peter Huntsman, John Krafcik, Peter Leibinger, Doug Hepper, and many more. These visionaries looked beyond financial performance to see opportunitiesand they did so by understanding uncertainty. Then, they decisively acted to create measurable results that coincided with the future they envisioned. Find out how they did it, and learn how to: identify, define, and convert uncertainty into value; become more opportunistic when facing uncertainty; develop the skill to spot where advantages are likely to emerge; and create an environment where managers and leaders complement each other. Filled with case studies on companies such as Hyundai, Starbucks, Roche, and Intel, this guide delivers proven ways to create value and leverage uncertainty. It is the culmination of a decade of research and interaction with dozens of companies and growth leaders who prove that pursuing a market driven strategy to navigating uncertainty will gain measurable market advantage.




Multi-objective Decision Analysis


Book Description

Whether managing strategy, operations or products, knowing how to make the best decision in a complex, uncertain business environment is difficult. You might be faced with multiple, competing objectives, which means making trade-offs. To complicate matters, any uncertainty makes it hard to explicitly understand how different objectives will impact potential outcomes. This book will help you face these problems. It provides a decision analysis framework implemented as a simple spreadsheet tool. This multi-objective decision analysis framework helps you to measure trade-offs among objectives and incorporate uncertainties and risk preferences. With this book, you will be able to identify what information is needed to make a decision, define how that information should be combined, and, finally, provide quantifiable evidence to clearly communicate and justify the decision. The process involves minimal overhead and is perfect for busy professionals who need a simple, structured process for making, tracking, and communicating decisions. This process makes decision making more efficient by focusing only on information and factors that are well-defined, measureable, and relevant to the decision at hand. The framework requires clear characterization of a decision, ensuring that it can be traced and is consistent with the intended objectives and organizational values. Using this structured decision-making framework, anyone can consistently make better decisions to gain competitive and strategic advantage.




Effectual Entrepreneurship


Book Description

What are you waiting for? Whether you’re dreaming about starting a business, learning about entrepreneurship or on the brink of creating a new opportunity right now, don’t wait. Open this updated bestseller. Inside you’ll find everything you need, including: a new and popular way to learn about and to practice entrepreneurship. new practical exercises, questions and activities for each step in your process. specific principles derived from the methods of expert entrepreneurs. over seventy updated case briefs of entrepreneurs across industries, locations and time. new applications to social entrepreneurship, technology and to large enterprises. plentiful connections to current and foundational research in the field (Research Roots) brand new chapter on "The Ask" - strategies for initiating the process of co-creating with partners data that will challenge conventional entrepreneurship wisdom a broader perspective on the science of entrepreneurship In this vibrant updated edition, you will find these ideas presented in the concise, modular, graphical form made popular in the first edition, perfect for those learning to be entrepreneurs or those already in the thick of things. If you want to learn about entrepreneurship in a way that emphasizes action, this new edition is vital reading. If you have already launched your entrepreneurial career and are looking for new perspectives, take the effectual entrepreneurship challenge! this book is for you. If you feel that you are no longer creating anything novel or valuable in your day job, and you’re wondering how to change things, this book is for you. Anyone using entrepreneurship to create the change they want to see in the world will find a wealth of thought-provoking material, expert advice and practical techniques in these pages and on the accompanying website: www.effectuation.org So, what are you waiting for?




Quantitative Techniques for Managerial Decisions


Book Description

This Book Is Designed To Serve As A Text For Management, Economics, Accountancy (Chartered And Cost Accountancy), And Commerce Students. The Book Covers Concepts, Illustrations And Problems In Statistics And Operations Research. Part I Deals With Statistical Techniques For Decision Making. Part Ii Studies Various Operations Research Techniques For Managerial Decisions.The Book Contains Illustrations And Problems, Drawn Extensively From Various Functional Areas Of Management, Viz., Production, Finance, Marketing And Personnel, Which Are Designed To Understand Real Life Decision Making Situations. In Order To Make The Book Self-Contained, All Relevant Mathematical Concepts And Their Applications Have Been Included. To Enhance The Understanding Of The Subject Matter By The Students Belonging To Different Disciplines, The Approach Adopted In This Book, Both In Statistics And Operations Research, Is Conceptional Rather Than Mathematical. Hence Complicated Mathematical Proofs Have Been Avoided.This Book Would Be An Ideal Reference To Executives, Computer Professionals, Industrial Engineers, Economic Planners And Social Scientists. The Other Books By The Same Authors Are: Operations Research For Management And Business Statistics.