• DocumentCode
    1614859
  • Title

    Adaptive business intelligence for an open negotiation environment

  • Author

    Aciar, S. ; Avesani, P. ; De la Rosa, J.L. ; Hormazabal, N. ; Serra, A.

  • Author_Institution
    Univ. of Girona, Girona, Spain
  • fYear
    2009
  • Firstpage
    517
  • Lastpage
    522
  • Abstract
    Engineering of negotiation model allows to develop effective heuristic for business intelligence. Digital ecosystems demand open negotiation models. To define in advance effective heuristics is not compliant with the requirement of openness. The new challenge is to develop business intelligence in advance exploiting an adaptive approach. The idea is to learn business strategy once new negotiation model rise in the e-market arena. In this paper we present how recommendation technology may be deployed in an open negotiation environment where the interaction protocol models are not known in advance. The solution we propose is delivered as part of the ONE Platform, open source software that implements a fully distributed open environment for business negotiation.
  • Keywords
    competitive intelligence; electronic commerce; information retrieval; learning (artificial intelligence); adaptive business intelligence; digital ecosystem; e-market; interaction protocol model; learning technology; open negotiation environment; open source software; recommendation technology; Business communication; Design engineering; Ecosystems; Electronic mail; Encoding; Intelligent agent; Open source software; Proposals; Protocols; Software agents; Intelligent Digital Ecosystems and Technologies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Ecosystems and Technologies, 2009. DEST '09. 3rd IEEE International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4244-2345-3
  • Electronic_ISBN
    978-1-4244-2346-0
  • Type

    conf

  • DOI
    10.1109/DEST.2009.5276732
  • Filename
    5276732