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Risk-Based Project Decisions in Situations of High Complexity and Deep Uncertainty

Risk-Based Project Decisions in Situations of High Complexity and Deep Uncertainty

- Default Title
Description
This book integrates for readers three areas of knowledge, pertaining to risk-based project decision making: project risk management (PRM), complexity theory, and decision-making under deep uncertainty (DMDU). Readers will appreciate that in practice, too often relevant complexity and uncertainty factors are either ignored or overlooked resulting in epic project failures. The author discusses a variety of methodologies and a decision-tree-type framework to determine why, when and how particular methodologies should be applied to ensure project success. These include nonlinear Monte Carlo techniques, a dynamic adaptive methodology to adapt to external environment changes, game theory for devising robust decision-making criteria, systems dynamics and cost escalation modelling, as well as risk-based & economic-based alternatives selection methodologies. This book will be an eye-opener for many PRM practitioners, helping to increase their chances of project success by properly handling inescapable project-complexity and deep-uncertainty implications in specific contexts.
Product details
Binding:
Paperback
Number of Pages:
412
Release Date:
2025-06-08
Publication Date:
2025-06-08
Publisher:
Springer
Languages:
Original: English
ISBN10:
3031569903
ISBN13:
9783031569906
GPSR Manufacturer Reference:
Weight:
622 g
Height:
155 cm
Width:
235 cm
Thickness:
23 cm
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