Improving human performance in dynamic tasks : applications in management and industry / Hassan Qudrat-Ullah.

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Improving human performance in dynamic tasks : applications in management and industry / Hassan Qudrat-Ullah.

9783030281663 (electronic book)
3030281663 (electronic book)
9783030281656

Cham : Springer, [2020]

©2020

English

1 online resource : illustrations.

10.1007/978-3-030-28166-3 doi

HD30.23 .Q37 2020eb

658.4/03

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.

Includes bibliographical references and index.

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Online resource; title from PDF title page (SpringerLink, viewed September 13, 2019).

SpringerBriefs in complexity.

Print version: 9783030281656

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