• DocumentCode
    1613744
  • Title

    Fuzzy logic based model to measure knowledge sharing

  • Author

    ZadJabbar, B. ; Mohseni, S. ; Wongthongtham, P.

  • Author_Institution
    Curtin Univ. of Technol., Perth, WA, Australia
  • fYear
    2009
  • Firstpage
    507
  • Lastpage
    510
  • Abstract
    Nowadays, trust is one of the most important variables in business. Lack of trust has a direct impact on business componentspsila confidence. Trustworthiness can create value and leads business to obtain high market share. Trust is also the most important variable in knowledge sharing on the basis of the knowledge context. A different kind of trust is required in knowledge sharing. Complexity and structured level of knowledge are the two important factors in knowledge classification. In this paper competence-based trust and benevolence-based trust are discussed. Effective knowledge sharing can be encouraged by improving the different types of trust. In this paper, we discuss on trust definition and trust measurement in knowledge sharing. We propose to improve knowledge sharing within a community to lead organizations to high level of productivity.
  • Keywords
    fuzzy logic; knowledge management; benevolence-based trust; business component; competence-based trust; fuzzy logic; knowledge classification; knowledge sharing measurement; trustworthiness; Australia; Business communication; Costs; Delay; Ecosystems; Electronic mail; Fuzzy logic; Monitoring; Productivity; Team working; fuzzy logic; knowledge; knowledge sharing; trust;
  • 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.2009.5276692
  • Filename
    5276692