• DocumentCode
    173253
  • Title

    Empowering the Delphi decision-making process using expert search from social networks

  • Author

    Barbosa, Carlos Eduardo ; Moreira de Souza, Jano ; Oliveira, Juliano

  • Author_Institution
    COPPE - Grad. Sch. & Res. in Eng., Univ. Fed. do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
  • fYear
    2014
  • fDate
    5-8 Oct. 2014
  • Firstpage
    630
  • Lastpage
    635
  • Abstract
    Delphi is a traditional method for supporting the decision-making process. It relies on a panel of experts who collaboratively reach a consensus about a given topic. This method may be empowered with new communication technologies which can gather a larger and more geographically distant expert group. In this work, we discuss in depth the gathering of a panel of experts for Delphi, which may be constrained by geographic location and competence levels, using methods to find experts in social networks. The Delphi process was also adapted to use social network analysis methods to find experts, thus allowing faster expert selection from small local groups to huge worldwide groups.
  • Keywords
    decision making; expert systems; forecasting theory; social networking (online); Delphi decision-making process; expert search; expert selection; geographic location; social network analysis methods; Context; Decision making; Electronic mail; LinkedIn; Military computing; Research and development; Delphi; decision-making; expert selection; social network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Type

    conf

  • DOI
    10.1109/SMC.2014.6973979
  • Filename
    6973979