DocumentCode
1800020
Title
TrustCV : Reputation-based trust for collectivist digital business ecosystems
Author
Isherwood, Donovan ; Coetzee, Marijke
Author_Institution
Acad. for Comput. Sci. & Software Eng., Univ. of Johannesburg, Johannesburg, South Africa
fYear
2014
fDate
23-24 July 2014
Firstpage
420
Lastpage
424
Abstract
This research proposes a trust and reputation model to support collectivist digital business ecosystems for regions such as Africa, where collectivist culture norms and behaviours are common. As trusting behaviour is strongly influenced by cultural norms and beliefs, trust should not only be considered from a technical perspective, but also from a cultural perspective. A multi-level group trust and reputation model is proposed to support group harmony using social network metrics. The implementation of the model ensures that collectivist communities are more comfortable when transacting with each other, thereby improving economic performance. The performance of Trustcv is measured through multi-agent simulations, giving interesting results when compared to simulations of existing trust models. The results indicate that Trustcv can successfully be used to support trust in collectivist digital business ecosystems.
Keywords
economics; multi-agent systems; social networking (online); trusted computing; collectivist culture norms; collectivist digital business ecosystems; cultural norms; economic performance; group harmony; multiagent simulations; multilevel group trust; reputation model; reputation-based trust; social network metrics; trust models; trusting behaviour; Business; Communities; Computational modeling; Ecosystems; Educational institutions; Peer-to-peer computing; Social network services; collectivist digital business ecosystem; culture; social network analysis; trust and reputation;
fLanguage
English
Publisher
ieee
Conference_Titel
Privacy, Security and Trust (PST), 2014 Twelfth Annual International Conference on
Conference_Location
Toronto, ON
Print_ISBN
978-1-4799-3502-4
Type
conf
DOI
10.1109/PST.2014.6890970
Filename
6890970
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