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SpringerBriefs in Complexity

Improving Human Performance in Dynamic Tasks

Applications in Management and Industry

Authors: Qudrat-Ullah, Hassan

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  • 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
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eBook 42,79 €
price for Spain (gross)
  • ISBN 978-3-030-28166-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 51,99 €
price for Spain (gross)
  • ISBN 978-3-030-28165-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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.


             


About the authors

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.


            

Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook 42,79 €
price for Spain (gross)
  • ISBN 978-3-030-28166-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 51,99 €
price for Spain (gross)
  • ISBN 978-3-030-28165-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Improving Human Performance in Dynamic Tasks
Book Subtitle
Applications in Management and Industry
Authors
Series Title
SpringerBriefs in Complexity
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-28166-3
DOI
10.1007/978-3-030-28166-3
Softcover ISBN
978-3-030-28165-6
Series ISSN
2191-5326
Edition Number
1
Number of Pages
XIII, 85
Number of Illustrations
14 illustrations in colour
Topics