DocumentCode :
3447204
Title :
Task-centered research: understanding, augmenting and discovering managerial expertise
Author :
Prietula, M.J. ; Lawrence, Stephen R. ; Greene, David P.
Author_Institution :
Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume :
4
fYear :
1988
fDate :
5-8 Jan 1988
Firstpage :
245
Lastpage :
253
Abstract :
A research framework, called task-centered research, is described for studying managerial expertise in complex task environments. A difficult, complex, and real-world task forms the focus for research aimed at understanding reasoning expertise in management. Three research efforts within the framework are presented to illustrate how it can be instantiated in practice and in the context of managerial decision-making. One effort is explicitly oriented to the study of reasoning in experts and novices. The second involves the construction of an expert system that both models the expert´s methods and augments managerial decision-making. The third effort concerns the application of machine learning techniques for discovering rules that form the knowledge-base of expert judgement
Keywords :
DP management; behavioural sciences computing; complex task environments; expert judgement; expert system; experts; knowledge-base; machine learning; management; managerial decision-making; managerial expertise; novices; reasoning expertise; rules; task-centered research; Artificial intelligence; Cognitive science; Environmental management; Expert systems; Fabrics; Humans; Machine learning; Modems; Resource management; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences, 1988. Vol.IV. Applications Track., Proceedings of the Twenty-First Annual Hawaii International Conference on
Conference_Location :
Kailua-Kona, HI
Print_ISBN :
0-8186-0844-7
Type :
conf
DOI :
10.1109/HICSS.1988.11990
Filename :
11990
Link To Document :
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