Sangam: A Confluence of Knowledge Streams

Decision Making under Deep Uncertainty

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dc.contributor Marchau, Vincent A. W. J.
dc.contributor Walker, Warren E.
dc.contributor Bloemen, Pieter J. T. M.
dc.contributor Popper, Steven W.
dc.date 2020-03-18 13:36:15
dc.date 2020-04-01T08:55:39Z
dc.date 2020-04-01T08:55:39Z
dc.date 2019
dc.date.accessioned 2022-05-26T10:45:21Z
dc.date.available 2022-05-26T10:45:21Z
dc.identifier 1007261
dc.identifier http://library.oapen.org/handle/20.500.12657/22900
dc.identifier 9783030052522
dc.identifier https://www.springer.com/9783030052522
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/203171
dc.description 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. ; Offers a comprehensive examination of the approaches and tools for designing plans under deep uncertainty and their application Identifies barriers and enablers for the use of the various approaches and tools in practice Includes realistic examples and practical guidelines to help readers better understand the concepts
dc.format application/pdf
dc.language eng
dc.publisher Springer Nature
dc.rights open access
dc.subject Business
dc.subject Management science
dc.subject Operations research
dc.subject Decision making
dc.subject Dynamics
dc.subject Ergodic theory
dc.subject Probabilities
dc.subject bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJT Operational research
dc.subject bic Book Industry Communication::P Mathematics & science::PB Mathematics::PBT Probability & statistics
dc.subject bic Book Industry Communication::P Mathematics & science::PB Mathematics::PBW Applied mathematics::PBWR Nonlinear science
dc.title Decision Making under Deep Uncertainty
dc.title 1007261.pdf
dc.resourceType book
dc.alternateIdentifier 10.1007/978-3-030-05252-2
dc.licenseCondition n/a
dc.identifierdoi 10.1007/978-3-030-05252-2
dc.relationisPublishedBy 6c6992af-b843-4f46-859c-f6e9998e40d5
dc.pages 405
dc.placepublication Cham


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