This book is about improving human decision making and performance in complex tasks. Utilizing systems thinking approach, this book presents innovative and insightful solutions to various managerial issues in various domains including agriculture, education, climate change, digital transformation, health care, supply chains, and sustainability. Practical insights and operational causal models are systematically presented. The key features of the didactic approach of this book are core knowledge, numerous tables and figures throughout the text, system archetypes, and causal loop models.

This book serves as a text for college and university courses on Systems Thinking for Management Decision Making in Complex Tasks. Researchers use the developed "causal models" to design and evaluate various decision-aiding technologies. It is used as a source of practical information for a broad community of decision-makers, researchers, and practitioners concerned with the issue of improving human performance in complex organizational tasks.

Autorentext

Hassan Qudrat-Ullah is a professor of decision sciences with the School of Administrative Studies at York University, Toronto, Canada. Dr. Hassan is a well-known scholar in "decision sciences,"energy policy modeling," and "system dynamics" areas. He has authored and edited over 100 refereed publications including 13 books (including edited volumes), 40 journal articles, and numerous conference proceedings and presentations.

In 2017, he won York University's Faculty of Liberal Arts and Professional Studies' Excellence in Research Award. Dr. Hassan is also an appointed member of the Program Advisory and Editorial Board of Springer Complexity, USA. Hassan has been honored as State Guest of Pakistan in 2016 and 2017. Dr. Hassan loves traveling and the exploration of various cultures across the globe. He has been to 139 countries: part business and part pleasure.