Unpacking mental models through laboratory experiments

Gary, MS; Wood, RE

Unpacking mental models through laboratory experiments

Gary, MS Wood, RE

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Publisher:: WILEY
Publication Type:: Journal Article
Citation:: System Dynamics Review, 2016, 32, (2), pp. 99-127
Issue Date:: 2016-04-01

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Full metadata record

Field	Value	Language
dc.contributor.author	Gary, MS
dc.contributor.author	Wood, RE
dc.date.accessioned	2022-08-09T20:16:20Z
dc.date.available	2022-08-09T20:16:20Z
dc.date.issued	2016-04-01
dc.identifier.citation	System Dynamics Review, 2016, 32, (2), pp. 99-127
dc.identifier.issn	0883-7066
dc.identifier.issn	1099-1727
dc.identifier.uri	http://hdl.handle.net/10453/159824
dc.description.abstract	This article summarizes the findings from three laboratory studies investigating the content of decision makers' mental models and the relationship between mental models and performance on microworld simulations. We examine three different components of mental models: perceived causal relationships, high-level strategies, and decision rules. The findings advance our understanding of the effects of different levels of complexity, different causal diagram presentations, and different learning paths on mental models and performance. Copyright © 2017 System Dynamics Society.
dc.language	English
dc.publisher	WILEY
dc.relation.ispartof	System Dynamics Review
dc.relation.isbasedon	10.1002/sdr.1560
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1503 Business and Management
dc.subject.classification	Business & Management
dc.title	Unpacking mental models through laboratory experiments
dc.type	Journal Article
utslib.citation.volume	32
utslib.for	1503 Business and Management
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
utslib.copyright.status	closed_access	*
dc.date.updated	2022-08-09T20:16:19Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	32
utslib.citation.issue	2

Abstract:

This article summarizes the findings from three laboratory studies investigating the content of decision makers' mental models and the relationship between mental models and performance on microworld simulations. We examine three different components of mental models: perceived causal relationships, high-level strategies, and decision rules. The findings advance our understanding of the effects of different levels of complexity, different causal diagram presentations, and different learning paths on mental models and performance. Copyright © 2017 System Dynamics Society.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/159824