Read more
This book is about improving human decision making and performance in complex, dynamic tasks. The defining characteristics of a dynamic decision task are that there are a number of decisions required, that decisions are interdependent and that the environment in which the decision is made is transient and feedback is pervasive. Examples of dynamic tasks include the sustainable management of renewable resources and how businesses might allocate resources for research and development (R&D) projects.
Decision making in dynamic tasks can be improved through training with system dynamics-based interactive learning environments (ILE's) that include systematic debriefing. Some key features of the book include its didactic approach, numerous tables, figures, and the multidimensional evaluative model. Researchers can use the developed "evaluation model" to gauge various decision-aiding technologies. How to Improve Human Performance in Dynamic Tasks appeals to those interested in the design and evaluation of simulation-based decision support systems, as well as policy makers, students, researchers, and industrialists concerned by the issue of improving human performance in organizational tasks.
List of contents
Chapter1: Decision Making and Learning in Dynamic Tasks.- Chapter2: SDILEs in Service of Dynamic Decision Making.- Chapter3: The Experimental Approach.- Chapter4: Results of Experimental Research.- Chapter5: Discussion and Conclusions.- Chapter6: Future Research Directions in Dynamic Decision Making
About the author
Hassan Qudrat-Ullah is a professor of decision sciences with the School of Administrative Studies at York University, Toronto, Canada. He is a well-known scholar in "decision sciences," "energy policy modeling," and "system dynamics" areas. He has authored and edited over 150 refereed publications including 16 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. He is also an appointed member of the Program Advisory and Editorial Board of Springer Complexity, USA. 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.
Summary
This book is about improving human decision making and performance in complex, dynamic tasks. The defining characteristics of a dynamic decision task are that there are a number of decisions required, that decisions are interdependent and that the environment in which the decision is made is transient and feedback is pervasive. Examples of dynamic tasks include the sustainable management of renewable resources and how businesses might allocate resources for research and development (R&D) projects.
Decision making in dynamic tasks can be improved through training with system dynamics–based interactive learning environments (ILE’s) that include systematic debriefing. Some key features of the book include its didactic approach, numerous tables, figures, and the multidimensional evaluative model. Researchers can use the developed “evaluation model” to gauge various decision-aiding technologies. How to Improve Human Performance in Dynamic Tasks appeals to those interested in the design and evaluation of simulation-based decision support systems, as well as policy makers, students, researchers, and industrialists concerned by the issue of improving human performance in organizational tasks.
