| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910367256803321 |
|
|
Autore |
Qudrat-Ullah Hassan |
|
|
Titolo |
Improving Human Performance in Dynamic Tasks : Applications in Management and Industry / / by Hassan Qudrat-Ullah |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2020.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (91 pages) : illustrations |
|
|
|
|
|
|
Collana |
|
Understanding Complex Systems, , 2191-5326 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
System theory |
Operations research |
Decision making |
School management and organization |
Sustainable development |
Educational technology |
Sociophysics |
Econophysics |
Complex Systems |
Operations Research/Decision Theory |
Administration, Organization and Leadership |
Sustainable Development |
Educational Technology |
Data-driven Science, Modeling and Theory Building |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di contenuto |
|
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 . |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
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. . |
|
|
|
|
|
| |