Supplier performance in a digital ecosystem

Fabregues, A; Madrenas-Ciurana, J; Sierra, C; Debenham, J

Supplier performance in a digital ecosystem

Fabregues, A Madrenas-Ciurana, J Sierra, C

Debenham, J

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Publication Type:: Conference Proceeding
Citation:: 2009 3rd IEEE International Conference on Digital Ecosystems and Technologies, DEST '09, 2009, pp. 459 - 464
Issue Date:: 2009-12-15

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Field	Value	Language
dc.contributor.author	Fabregues, A	en_US
dc.contributor.author	Madrenas-Ciurana, J	en_US
dc.contributor.author	Sierra, C https://orcid.org/0000-0003-0839-6233	en_US
dc.contributor.author	Debenham, J	en_US
dc.date.issued	2009-12-15	en_US
dc.identifier.citation	2009 3rd IEEE International Conference on Digital Ecosystems and Technologies, DEST '09, 2009, pp. 459 - 464	en_US
dc.identifier.isbn	9781424423460	en_US
dc.identifier.uri	http://hdl.handle.net/10453/11920
dc.description.abstract	Autonomous entities in a digital ecosystem are expected to interact, negotiate and make agreements. The work introduced in this paper focuses on how these autonomous entities evaluate and rank the other participants in the digital ecosystem using past experiences. These past experiences allow agents to learn a probabilistic model of the behaviour of the others. We introduce a trust measure based on this probabilistic model of behaviour and a software tool that helps in the decision making process of how to choose the right partner for our next agreemeent. ©2009 IEEE.	en_US
dc.relation.ispartof	2009 3rd IEEE International Conference on Digital Ecosystems and Technologies, DEST '09	en_US
dc.relation.isbasedon	10.1109/DEST.2009.5276775	en_US
dc.title	Supplier performance in a digital ecosystem	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
dc.location.activity	Istanbul, Turkey	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 Software
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

Autonomous entities in a digital ecosystem are expected to interact, negotiate and make agreements. The work introduced in this paper focuses on how these autonomous entities evaluate and rank the other participants in the digital ecosystem using past experiences. These past experiences allow agents to learn a probabilistic model of the behaviour of the others. We introduce a trust measure based on this probabilistic model of behaviour and a software tool that helps in the decision making process of how to choose the right partner for our next agreemeent. ©2009 IEEE.

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http://hdl.handle.net/10453/11920