Optimizing Decision-Making in Engineering : A Journey Mapping Perspective
Book Details
Format
Hardback or Cased Book
ISBN-10
1041163908
ISBN-13
9781041163909
Publisher
Taylor & Francis Ltd
Imprint
CRC Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Oct 12th, 2026
Print length
222 Pages
Product Classification:
Product designBusiness strategyEngineering: generalErgonomicsOther manufacturing technologiesProduction and industrial engineeringProduction engineeringComputer architecture & logic designComputer architecture and logic designArtificial intelligenceArtificial intelligence (AI)
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This book explores the decision-making processes for engineering and IT professionals in increasingly heterogeneous technological environments. It provides a map of decision-making that connects theoretical foundations with practical applications, offering readers a structured approach to navigate complex adaptive systems.
This comprehensive book explores the evolving landscape of decision-making processes for engineering and IT professionals in increasingly heterogeneous technological environments. It addresses critical gaps in current educational materials by examining how technological advancements, situational awareness challenges, human-machine intelligence integration, and virtual uncertainties impact modern decision-making frameworks. The book provides a complete journey map of decision-making that connects theoretical foundations with practical applications, offering readers a structured approach to navigate complex adaptive systems in our data-driven society. Optimizing Decision-Making in Engineering: A Journey Mapping Perspective includes an in-depth exploration of cognitive and emotional engagements in decision-making, an analysis of how advanced design functionalities influence cognitive biases and heuristics, and an examination of decision-making under virtual conditions where physical touch is absent. It presents analytical tools such as decision trees, Bayesian networks, and multi-criteria decision-making models (AHP, TOPSIS), while incorporating emerging technologies like artificial intelligence, virtual/augmented reality, IoT, and big data analytics. Real-world scenarios, use cases, and strategic frameworks like the Cynefin framework and Roger’s model provide a practical context for theoretical concepts. Designed for technology professionals, including CTOs, IT project managers, systems architects, UX directors, and engineering team leads, this resource equips product managers, business analysts, solution architects, and digital transformation consultants with enhanced decision-making capabilities for complex environments. This comprehensive guide delivers particular value for specialized roles such as AI ethics officers, human factors engineers, and digital experience strategists, providing frameworks applicable across autonomous systems, healthcare technology, immersive experiences, retail analytics, and advanced manufacturing operations.
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