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Improving human performance in dynam...

Qudrat-Ullah, Hassan.

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Improving human performance in dynamic tasks = applications in management and industry /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Improving human performance in dynamic tasks/ by Hassan Qudrat-Ullah.
Reminder of title:	applications in management and industry /
Author:	Qudrat-Ullah, Hassan.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xiii, 85 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Decision making. -
Online resource:	https://doi.org/10.1007/978-3-030-28166-3
ISBN:	9783030281663

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

Improving human performance in dynamic tasksapplications in management and industry /[electronic resource] :by Hassan Qudrat-Ullah. - Cham :Springer International Publishing :2020. - xiii, 85 p. :ill., digital ;24 cm. - SpringerBriefs in complexity,2191-5326. - SpringerBriefs in complexity..

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.

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.

ISBN: 9783030281663

Standard No.: 10.1007/978-3-030-28166-3doiSubjects--Topical Terms:

517204
Decision making.

LC Class. No.: HD30.23 / .Q37 2020

Dewey Class. No.: 658.403

Improving human performance in dynamic tasks = applications in management and industry /
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505 0 $a 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.
520 $a 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.
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