• DocumentCode
    2754796
  • Title

    Applying scenario technology analysis for new product dynamic strategic planning

  • Author

    Luo, C.M. ; Kuo, Y. ; Huang, Y.C.

  • Author_Institution
    Dept. of Technol. Manage., Hsing Kuo Univ. of Manage., Tainan, Taiwan
  • fYear
    2010
  • fDate
    2-5 June 2010
  • Firstpage
    565
  • Lastpage
    568
  • Abstract
    This article intends to discuss the possibility of how to quickly improve the function of adaptive prediction direction for scenario analysis (SA) in technology-intensive industries. Therefore, this study is based on SA theory that combines the technology life cycle (TLC) viewpoint with the goal-oriented properties of path analysis model (PAM) to build an adapted SA for the purpose of dynamic technology forecasting. Using the goal-oriented properties of PAM, the adapted SA can quickly evaluate changes in the technical development of a market´s dynamic schedule and can identify the gap between expectations and reality. This study proposes an adapted SA that allows the generation of both qualitative and quantitative scenarios that can be used as a helpful planning tool for dynamic assessment.
  • Keywords
    production planning; research and development management; strategic planning; technological forecasting; adaptive prediction direction; dynamic technology forecasting; goal-oriented property; path analysis model; product dynamic strategic planning; scenario technology analysis; technology life cycle; technology-intensive industries; Demand forecasting; Economic forecasting; Job shop scheduling; Predictive models; Strategic planning; Technological innovation; Technology forecasting; Technology management; Technology planning; Technology social factors; Scenario analysis; Technology forecasting; technical development strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of Innovation and Technology (ICMIT), 2010 IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-6565-1
  • Electronic_ISBN
    978-1-4244-6566-8
  • Type

    conf

  • DOI
    10.1109/ICMIT.2010.5492757
  • Filename
    5492757