
EAN: 9783030052515

Bilder-Quelle: discount24.de - Sport-Freizeit
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.
Produktinformationen zuletzt aktualisiert am
24.06.2025 um 13:48 Uhr
24.06.2025 um 13:48 Uhr
Hersteller
-
EAN
9783030052515
MPN
-
ASIN
3030052516
Produktgruppe
-

Produktzustand:
Verfügbarkeit:
Versandkosten:
Sonderpreis:

Sie sind Shopbetreiber? Listen Sie ganz einfach Ihre Produkte hier bei uns im Portal >>>
Letzte EAN Aktualisierungen:
9783926397584 - Ein neues Demokratiemodell für das 21 Jahrhundert...9780525522645 - The Biggest Bluff - Maria Konnikova Kartoniert (TB...
9783658257538 - Stadt Raum und Gesellschaft From Plans to Polici...
9783110371048 - Laboratory Test requesting Appropriateness and Pat...
9783030083014 - The Politics of Deforestation in Africa - Nadia Ra...
9783319421971 - AIDS Activism Science and Community across Three C...
9783319615806 - Symbolic and Quantitative Approaches to Reasoning ...
9781119750765 - Mindfulness without the Bells and Beads - Clif Smi...
9783319113067 - The Politics of Contaminated Sites Management - Jo...
9783319306889 - Set Functions Games and Capacities in Decision Mak...
9783731507086 - Bereitstellung von Umweltdaten im Baubereich auf d...
3616304892790 - Bold Instinct Eau de parfum 50ml...
kürzlich hinzugefügt:
9783030923426 - Executive-Legislative Relations in Parliamentary S...9783954893928 - The procurement strategies for the Olympic Stadium...
9780593299746 - The Family Firm - Emily Oster Kartoniert (TB)...
9783815420331 - Informatik Kartoniert (TB)...
9783658257538 - Stadt Raum und Gesellschaft From Plans to Polici...
9780198785545 - Oxford Studies in European Law EU Powers Under E...
9780241567432 - How to Stay Smart in a Smart World - Gerd Gigerenz...
9780593240403 - The Hype Machine - Sinan Aral Kartoniert (TB)...
9783658332457 - Sustainable Management Wertschöpfung und Effizien...
3616304892806 - Bold Instinct Eau de parfum 75ml...
9783898218573 - Trade Unions from Post-Socialist Member States in ...
9780241586488 - Ananthaswamy Anil Why Machines Learn...