• DocumentCode
    1819962
  • Title

    The role of text mining of patent in Mergers and Acquisitions

  • Author

    Lu Huang ; Ying Guo ; Yanhua Zhao ; Yue Wang ; Porter, Alan L.

  • Author_Institution
    Sch. of Manage. & Econ., Beijing Inst. of Technol., Beijing, China
  • fYear
    2013
  • fDate
    July 28 2013-Aug. 1 2013
  • Firstpage
    2271
  • Lastpage
    2282
  • Abstract
    Technology strategy plays an increasingly important role in today´s Mergers and Acquisitions (M&A) activity, especially that aiming to obtain key technology capabilities. A big challenge that faces corporate managers and government policy makers is how to bring technology development prospects into play in order to help enterprises complement and strengthen their advantages. In this study, based on text mining of patents, we devise a method for extracting technology intelligence to facilitate M&A, focusing on potential targets by assessing technological synergy value for a firm. We present results pertaining to technology M&A in the field of numerical control systems in China.
  • Keywords
    business data processing; corporate acquisitions; data mining; patents; technology management; text analysis; China; M&A activity; corporate managers; government policy makers; mergers and acquisitions; numerical control systems; patent; technology development prospects; technology intelligence; technology strategy; text mining; Companies; Computer numerical control; Correlation; Market research; Patents; Technology management; Text mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technology Management in the IT-Driven Services (PICMET), 2013 Proceedings of PICMET '13:
  • Conference_Location
    San Jose, CA
  • Type

    conf

  • Filename
    6641687