• DocumentCode
    461048
  • Title

    Efficient Identification of Leading-Edge Expertise: Screening vs. Pyramiding

  • Author

    von Hippel, E. ; Franke, Nikolaus ; Prügl, Reinhard

  • Author_Institution
    Sch. of Manage., Massachusetts Inst. of Technol., Cambridge, MA
  • Volume
    2
  • fYear
    2006
  • fDate
    8-13 July 2006
  • Firstpage
    884
  • Lastpage
    897
  • Abstract
    In order to find ideas for leading edge innovations, the lead user method recently gained much interest. A very important step in this method is the identification of lead users. Recently, there is a notable switch towards a technique we term "pyramiding". Instead of selecting the most appropriate users from a large but finite sample ("screening"), the pyramiding technique, a modified version of the snowball sampling method, relies on the fact that people with a strong interest in a topic or field tend to know people more expert than themselves: For example, good IT professionals tend to know the identity of IT people who are even more skilled than they are. In this article, we empirically compare the efficiency of both methods and identify the factors impacting the efficiency of the pyramiding method. For this we conduct a large scale experiment in which we simulate 292 pyramiding "chains". Findings have implications for managing efficient search for leading-edge expertise
  • Keywords
    human resource management; innovation management; sampling methods; IT people; IT professionals; finite sample screening method; lead user method; leading edge innovations; leading-edge expertise identification; pyramiding method; snowball sampling method; Companies; Innovation management; Large-scale systems; Manufacturing; Marketing and sales; Product development; Sampling methods; Switches; Technological innovation; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technology Management for the Global Future, 2006. PICMET 2006
  • Conference_Location
    Istanbul
  • Print_ISBN
    1-890843-14-8
  • Type

    conf

  • DOI
    10.1109/PICMET.2006.296621
  • Filename
    4077464