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.
