Improving Human Performance in Dynamic Tasks: Applications in Management and Industry

Description

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 appealsto 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. Front Matter ....Pages i-xiii Decision Making and Learning in Dynamic Tasks (Hassan Qudrat-Ullah)....Pages 1-8 SDILEs in Service of Dynamic Decision Making (Hassan Qudrat-Ullah)....Pages 9-27 The Experimental Approach (Hassan Qudrat-Ullah)....Pages 29-43 Results of Experimental Research (Hassan Qudrat-Ullah)....Pages 45-54 Discussion and Conclusions (Hassan Qudrat-Ullah)....Pages 55-66 Future Research Directions in Dynamic Decision Making (Hassan Qudrat-Ullah)....Pages 67-71 Back Matter ....Pages 73-85