• 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