Hassan Qudrat-Ullah

A Treatise on Dynamic Decision Making (eBook, ePUB)

• Format: ePub

Produktbeschreibung

A Treatise on Dynamic Decision Making offers a comprehensive guide to navigating complex and evolving environments where decisions are shaped by interconnected actions. Bridging cognitive, behavioral, and collaborative dimensions, it explores models like reinforcement learning and participatory decision-making, recognizing the interplay of logic, emotion, and intuition. Enriched with real-world examples, illustrations, and practical insights, this book equips readers-academics, practitioners, and policymakers alike-with tools to enhance decision-making proficiency. Whether addressing disruptive technologies, business uncertainties, or competitive dynamics, this essential resource delivers actionable strategies and profound understanding for mastering the art of dynamic decision making.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 116
• Erscheinungstermin: 3. Oktober 2025
• Englisch
• ISBN-13: 9781040644218
• Artikelnr.: 75393143

Autorenporträt

Dr. Hassan Qudrat-Ullah is a renowned Professor of Decision Sciences at York University, Toronto, with over 20 years of academic and industry experience. His expertise spans systems thinking, sustainable energy policies, and dynamic decision-making. Author of 31 books and 40+ journal articles, he is also the Founding Editor of Systems Thinking and Sustainable Development and Editor-in-Chief of Systems Thinking and Dynamic Decision Making. A global traveler, he has visited 140 countries, blending professional insights with cultural exploration.

Inhaltsangabe

Dedication. Preface. Acknowledgements. 1. Introduction-The World of Dynamic
Decision Making. 2. Theoretical Foundations of Dynamic Decision Making. 3.
Methodological Tools and Techniques for Dynamic Decision Making. 4.
Empirical Evidence and Insights on Dynamic Decision Making. 5. Practical
Applications and Recommendations for Dynamic Decision Making. 6. Conclusion
and A Way Forward. Index.