Overview
- Demonstrates the utility of laboratory-based experimental methods in dealing with dynamic tasks
- Features a comprehensive evaluation model for testing the effectiveness of decision-aiding technologies
- Provides evidence as to the cost-benefit approaches to decision-making, proving more effort is needed to improve human performance in dynamic tasks
Part of the book series: SpringerBriefs in Complexity (BRIEFSCOMPLEXITY)
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Table of contents (6 chapters)
Keywords
- human performance in dynamic tasks
- interactive learning environments
- renewable resources
- simulation-based education and training
- system dynamics
- characteristics of debriefing
- debriefing and task performance in dynamic tasks
- debriefing on stuctural knowledge
- debriefing on heuristics knowledge
- decision support systems
- dynamics decisions in a simulation environment
- debriefing based ILE
About this book
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.
Authors and Affiliations
About the author
Hassan Qudrat-Ullah is a professor of decision sciences at York University, Toronto Canada. Dr. Hassan, although a citizen of Canada, is truly a global citizen. He has received education from Asia (Pakistan and Singapore), Europe (Norway), and North America (USA). Teaching and Learning is his passion. Hassan is an active researcher in “decision sciences” and “energy policy” area. He has authored over 80 refereed publications including eight books which are adopted by many schools in the world. Hassan is also an appointed member of the Program Advisory and Editorial Board of Springer Complexity, USA. He is Editor-in-Chief of the International Journal of Complexity in Applied Science and Technology. Hassan loves traveling and the exploration of various cultures across the globe. He has been to 133 countries: part business and part pleasure. Hassan is also a director of the board of Swiss Federation of Private Business Schools, Switzerland. Hassan has been honored as a State Guest of Pakistan in 2016 and 2017.
Bibliographic Information
Book Title: Improving Human Performance in Dynamic Tasks
Book Subtitle: Applications in Management and Industry
Authors: Hassan Qudrat-Ullah
Series Title: SpringerBriefs in Complexity
DOI: https://doi.org/10.1007/978-3-030-28166-3
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-28165-6Published: 25 September 2019
eBook ISBN: 978-3-030-28166-3Published: 30 August 2019
Series ISSN: 2191-5326
Series E-ISSN: 2191-5334
Edition Number: 1
Number of Pages: XIII, 85
Number of Illustrations: 14 illustrations in colour
Topics: Complex Systems, Operations Research/Decision Theory, Administration, Organization and Leadership, Sustainable Development, Educational Technology, Data-driven Science, Modeling and Theory Building