Mehr lesen
Computer simulation-based education and training is a multi-billion dollar industry. With the increased complexity of organizational decision making, projected demand for computer simulation-based decisional aids is on the rise. The objective of this book is to enhance systematically our understanding of and gain insights into the general process by which human facilitated ILEs are effectively designed and used in improving users' decision making in dynamic tasks. This book is divided into four major parts. Part I serves as an introduction to the subject of "decision making in dynamic tasks", its importance and its complexity. Part II provides background material, drawing upon the 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 Fish Bank ILE, 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 provide a powerful basis for understating important phenomena of training with human facilitated simulation-based learning environments, thereby, help to drive critical lessons to be learned. This book provides the reader with both a comprehensive understanding of the phenomena encountered in decision making with human facilitated ILEs and a unique way of studying the effects of these phenomena on people's ability to make better decision in complex, dynamic tasks. This book is intended to be of use to managers and practitioners, researchers and students of dynamic decision making. The background material of Part II provides a solid base to understand and organize the existing experimental research literature and approaches.
Über den Autor / die Autorin
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.
Zusammenfassung
Computer simulation-based education and training is a multi-billion dollar industry. With the increased complexity of organizational decision making, projected demand for computer simulation-based decisional aids is on the rise. The objective of this book is to enhance systematically our understanding of and gain insights into the general process by which human facilitated ILEs are effectively designed and used in improving users’ decision making in dynamic tasks. This book is divided into four major parts. Part I serves as an introduction to the subject of “decision making in dynamic tasks”, its importance and its complexity. Part II provides background material, drawing upon the 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 Fish Bank ILE, 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 provide a powerful basis for understating important phenomena of training with human facilitated simulation-based learning environments, thereby, help to drive critical lessons to be learned. This book provides the reader with both a comprehensive understanding of the phenomena encountered in decision making with human facilitated ILEs and a unique way of studying the effects of these phenomena on people’s ability to make better decision in complex, dynamic tasks. This book is intended to be of use to managers and practitioners, researchers and students of dynamic decision making. The background material of Part II provides a solid base to understand and organize the existing experimental research literature and approaches.
Zusatztext
“In this book it is intended to give ways of
training with Human-Facilitated Interactive Learning Environments-ILEs, in
order to have better decision making in complex dynamic tasks. … This is an
outstanding book scientifically rigorous, fundamental and valuable in ‘Training
with Human-Facilitated Interactive Learning Environments’, simultaneously
conceptual and operative. Written by highly reputed contributors it is an
essential reading for managers and practitioners, researchers, and students of
dynamic decision making.” (Manuel Alberto M. Ferreira, International Journal of
Latest Trends in Finance & Economic Sciences,
Vol. 5 (2), 2015)
Bericht
"In this book it is intended to give ways of training with Human-Facilitated Interactive Learning Environments-ILEs, in order to have better decision making in complex dynamic tasks. ... This is an outstanding book scientifically rigorous, fundamental and valuable in 'Training with Human-Facilitated Interactive Learning Environments', simultaneously conceptual and operative. Written by highly reputed contributors it is an essential reading for managers and practitioners, researchers, and students of dynamic decision making." (Manuel Alberto M. Ferreira, International Journal of Latest Trends in Finance & Economic Sciences, Vol. 5 (2), 2015)
