Better Decision Making in Complex, Dynamic Tasks: Training with Human-Facilitated Interactive Learning Environments (Understanding Complex Systems) - Softcover

Über die Autorin bzw. den Autor

Dr. Hassan Qudrat-Ullah is a distinguished Professor of Decision Sciences at York University, Toronto, with over two decades of experience in academia and industry. His research focuses on integrating systems thinking and emerging technologies to address complex decision-making challenges including supply chains and sustainable energy policies. Dr. Qudrat-Ullah has authored numerous publications and books including 24 books (and edited volumes) and 43 journal articles) in the fields of decision sciences, system dynamics, and sustainable energy. Recognized as one of the world’s top 2% scientists by Stanford University in 2022, his work has had a profound impact on both academic research and practical applications. He is Founding Editor of Book Series: Systems Thinking and Sustainable Development (by Edward Elgar). Through his innovative approach, Dr. Qudrat-Ullah continues to shape the future of decision-making in complex environments. He has been honored as a state guest of Pakistan in 2016 and 2017. He loves traveling and the exploration of various cultures across the globe. He has been to 140 countries: part business and part pleasure.

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This book describes interactive learning environments (ILEs) and their underlying concepts. It explains how ILEs can be used to improve the decision-making process and how these improvements can be empirically verified. The objective of this book is to enhance our understanding of and to gain insights into the process by which human facilitated ILEs are effectively designed and used in improving users’ decision making in complex, dynamic tasks. This book is divided into four major parts. Part I serves as an introduction to the importance and complexity of decision making in dynamic tasks. Part II provides background material, drawing upon relevant literature, for the development of an integrated process model on the effectiveness of human facilitated ILEs in improving decision making in dynamic tasks. Part III focuses on the design, development, and application of FishBankILE in laboratory experiments to gather empirical evidence for the validity of the process model. Finally, part IV presents a comprehensive analysis of the gathered data to illustrate the lessons to be learned.

Better Decision Making in Complex, Dynamic Tasks will be useful for managers and practitioners, researchers, and students of dynamic decision making.

Praise for Better Decision Making in Complex, Dynamic Tasks:

"...rich in content, full with unique insights, and a self-sufficient volume on the design, development and application of system dynamics based simulations that are implemented as interactive learning environments (ILEs). Practitioners and researchers interested in seeking evidence for the efficacy of ILEs’ use in decision-making will find this book a must read."

Prof. Carmine Bianchi, Scientific Coordinator of CED4-System Dynamics Group, University of Palermo, Italy