A situation retrieval model for cognitive decision support in digital business ecosystems

Lu, J; Niu, L; Zhang, G

A situation retrieval model for cognitive decision support in digital business ecosystems

Lu, J

Niu, L Zhang, G

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Industrial Electronics, 2013, 60 (3), pp. 1059 - 1069
Issue Date:: 2013-01-01

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Field	Value	Language
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.author	Niu, L	en_US
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.date.issued	2013-01-01	en_US
dc.identifier.citation	IEEE Transactions on Industrial Electronics, 2013, 60 (3), pp. 1059 - 1069	en_US
dc.identifier.issn	0278-0046	en_US
dc.identifier.uri	http://hdl.handle.net/10453/47107
dc.description.abstract	This paper presents a novel situation retrieval (SR) model for supporting cognition-driven decision processes in digital business ecosystems. Cognitive decision support in digital ecosystems is concerned with decision makers' cognitive processes. This study aims to facilitate cognitive decision support to decision makers on the basis of current business intelligence (BI) platform. Underlying foundations of the SR model are two types of mental constructs: situation awareness (SA) and mental models of decision makers and the model of naturalistic decision making (NDM). These mental constructs and NDM are integrated into the BI application framework. Our experiments showed that the SR model was playing a nontrivial role to help decision makers develop enhanced SA and reuse their past experience to make better decisions. © 2012 IEEE.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0880739
dc.relation.ispartof	IEEE Transactions on Industrial Electronics	en_US
dc.relation.isbasedon	10.1109/TIE.2012.2188253	en_US
dc.subject.classification	Electrical & Electronic Engineering	en_US
dc.title	A situation retrieval model for cognitive decision support in digital business ecosystems	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	60	en_US
utslib.for	080605 Decision Support and Group Support Systems	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	in_progress
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	60	en_US

Abstract:

This paper presents a novel situation retrieval (SR) model for supporting cognition-driven decision processes in digital business ecosystems. Cognitive decision support in digital ecosystems is concerned with decision makers' cognitive processes. This study aims to facilitate cognitive decision support to decision makers on the basis of current business intelligence (BI) platform. Underlying foundations of the SR model are two types of mental constructs: situation awareness (SA) and mental models of decision makers and the model of naturalistic decision making (NDM). These mental constructs and NDM are integrated into the BI application framework. Our experiments showed that the SR model was playing a nontrivial role to help decision makers develop enhanced SA and reuse their past experience to make better decisions. © 2012 IEEE.

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

http://hdl.handle.net/10453/23501