Wise Decision-making in Uncertain Times

Wise Decision-making in Uncertain Times PDF

Author: Dennis R. Young

Publisher:

Published: 2006

Total Pages: 0

ISBN-13: 9781595420992

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Demands on nonprofit services have escalated within the context of economic downturns and reduced government funding. In this new environment, nonprofit managers must develop strategies to steer their organizations through profound transformations in programs, operations, fund development, and financing. Moving beyond the core principles set out in Effective Economic Decision-Making-pricing, compensation, investment, outsourcing, economic choices, strategies, and policies-this new guide helps nonprofits survive and thrive amid today's complex economic forces. A team of experts evaluates entrepreneurial approaches, market engagement and competition, managing for performance and integrity, understanding and managing risk, managing fiscal stress, investment strategies, institutional collaboration and transformation, mobilizing for public sector support, and holistic grantmaking. This book highlights the critical challenges of fiscal sustainability for nonprofits, and encourages organizations to take a more expansive approach to financing ... and to achieving their missions.

Decision Making under Deep Uncertainty

Decision Making under Deep Uncertainty PDF

Author: Vincent A. W. J. Marchau

Publisher: Springer

Published: 2019-04-04

Total Pages: 408

ISBN-13: 3030052524

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This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.

Super Deciders

Super Deciders PDF

Author: Stefan Brusoni

Publisher: John Wiley & Sons

Published: 2024-03-19

Total Pages: 327

ISBN-13: 1394239777

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Dramatically improve the decisions you make every day using insights from the latest neuroscience We make hundreds of decisions daily, from small ones – such as what to wear today and how to drive to work – to big ones – such as the company strategy and whether to launch a restructuring program that may impact thousands of people. In business, studies suggest that company executives spend 40% of their time making decisions and that the effectiveness of their decisions largely drives the results of the companies that they lead. In Super Deciders: The Science and Practice of Decision-Making in Dynamic and Uncertain Times, a team of renown researchers and business advisors deliver an application of the latest advances in neuroscience to effectively making the most difficult decisions, those we make in dynamic environments, in situations of uncertainty when we need to predict outcomes, we’re missing relevant information, time is scarce, and the environment is constantly changing. The book is written in three parts. In the first part, the book offers a practical framework for making effective decisions under uncertainty. In the second part, the book discusses approaches to effectively implement those decisions, thus managing change at every level, from the individual to the organizational. Finally, the book develops suggestions on how leaders can diagnose and improve – in themselves and in the people they lead – the cognitive abilities relevant to decision-making. You’ll also find: An enlightening business narrative detailing the journey of a fictional leader of an international travel operator named Inuk. Six cases that put you into real-life situations of making difficult decisions and that help you assess your decision-making effectiveness. An accessible and fun introduction to the neuroscience of decision-making. Ideal for managers, executives, directors, and other business leaders, Super Deciders is a can’t-miss decision-making playbook that you’ve been waiting for.

Decision Making Under Uncertainty

Decision Making Under Uncertainty PDF

Author: Mykel J. Kochenderfer

Publisher: MIT Press

Published: 2015-07-24

Total Pages: 350

ISBN-13: 0262331713

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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.

Radical Uncertainty: Decision-Making Beyond the Numbers

Radical Uncertainty: Decision-Making Beyond the Numbers PDF

Author: John Kay

Publisher: W. W. Norton & Company

Published: 2020-03-17

Total Pages: 407

ISBN-13: 1324004789

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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.

Completing the Forecast

Completing the Forecast PDF

Author: National Research Council

Publisher: National Academies Press

Published: 2006-10-09

Total Pages: 124

ISBN-13: 0309180538

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Uncertainty is a fundamental characteristic of weather, seasonal climate, and hydrological prediction, and no forecast is complete without a description of its uncertainty. Effective communication of uncertainty helps people better understand the likelihood of a particular event and improves their ability to make decisions based on the forecast. Nonetheless, for decades, users of these forecasts have been conditioned to receive incomplete information about uncertainty. They have become used to single-valued (deterministic) forecasts (e.g., "the high temperature will be 70 degrees Farenheit 9 days from now") and applied their own experience in determining how much confidence to place in the forecast. Most forecast products from the public and private sectors, including those from the National Oceanographic and Atmospheric Administration's National Weather Service, continue this deterministic legacy. Fortunately, the National Weather Service and others in the prediction community have recognized the need to view uncertainty as a fundamental part of forecasts. By partnering with other segments of the community to understand user needs, generate relevant and rich informational products, and utilize effective communication vehicles, the National Weather Service can take a leading role in the transition to widespread, effective incorporation of uncertainty information into predictions. "Completing the Forecast" makes recommendations to the National Weather Service and the broader prediction community on how to make this transition.

Advances in Decision Making Under Risk and Uncertainty

Advances in Decision Making Under Risk and Uncertainty PDF

Author: Mohammed Abdellaoui

Publisher: Springer Science & Business Media

Published: 2008-08-29

Total Pages: 245

ISBN-13: 3540684360

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Whether we like it or not we all feel that the world is uncertain. From choosing a new technology to selecting a job, we rarely know in advance what outcome will result from our decisions. Unfortunately, the standard theory of choice under uncertainty developed in the early forties and fifties turns out to be too rigid to take many tricky issues of choice under uncertainty into account. The good news is that we have now moved away from the early descriptively inadequate modeling of behavior. This book brings the reader into contact with the accomplished progress in individual decision making through the most recent contributions to uncertainty modeling and behavioral decision making. It also introduces the reader into the many subtle issues to be resolved for rational choice under uncertainty.

Controlling Uncertainty

Controlling Uncertainty PDF

Author: Magda Osman

Publisher: John Wiley & Sons

Published: 2011-07-18

Total Pages: 322

ISBN-13: 144435180X

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Controlling Uncertainty: Decision Making and Learning in Complex Worlds reviews and discusses the most current research relating to the ways we can control the uncertain world around us. Features reviews and discussions of the most current research in a number of fields relevant to controlling uncertainty, such as psychology, neuroscience, computer science and engineering Presents a new framework that is designed to integrate a variety of disparate fields of research Represents the first book of its kind to provide a general overview of work related to understanding control

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