• DocumentCode
    2584871
  • Title

    Empirical research on the technology opportunities analysis based on morphology analysis and conjoint analysis

  • Author

    Jiwu, Wang ; Lucheng, Huang ; Jiang, Li ; Jian, Li

  • Author_Institution
    Sch. of Econ. & Manage., Harbin Eng. Univ., Harbin
  • fYear
    2008
  • fDate
    27-31 July 2008
  • Firstpage
    2041
  • Lastpage
    2047
  • Abstract
    This paper presents an empirical study on the technology opportunities potential analysis with a case example of LED by combining bibliometrics analysis, morphology analysis and conjoint analysis methods. At first, bibliometrics analysis and technology morphology matrix are used to establish all kind of technology configurations in possibility; then, the technology unoccupied configurations are identified by the documents keywords vectors; at last the priority of each technology configuration can be calculated by the conjoint analysis based on the citationof technology documents. The results reveal that this proposed method not only can solve the limitations of using single method, but also can prioritize the unoccupied territory of technology configurations, in order to identify and evaluate the technology opportunities more scientifically.
  • Keywords
    citation analysis; light emitting diodes; technological forecasting; technology management; LED; bibliometrics analysis; conjoint analysis; morphology analysis; technological forecasting; technology configuration; technology document citation; technology morphology matrix; technology opportunities potential analysis; Africa; Bibliometrics; Citation analysis; Cities and towns; Databases; Economic forecasting; Engineering management; Morphology; Technology forecasting; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of Engineering & Technology, 2008. PICMET 2008. Portland International Conference on
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-890843-17-5
  • Electronic_ISBN
    978-1-890843-18-2
  • Type

    conf

  • DOI
    10.1109/PICMET.2008.4599824
  • Filename
    4599824