• DocumentCode
    2795837
  • Title

    Notice of Retraction
    Technology linkage, R&D networks, and offshore R&D: Taiwan-based firms in China

  • Author

    Meng-Chun Liu ; Ming-Wen Hu

  • Author_Institution
    Chung-Hua Instn. for Economic Res., Taipei
  • Volume
    7
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    3756
  • Lastpage
    3761
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    With the advance of globalization, R&D internationalization has become a trend, with the outreach including the less-advanced economies. This paper sets out to examine empirically the factors underlying R&D intensity of the Taiwan-based MNCs in China for 2003-06, with a specific focus on the effect of their cross-border technology linkages and R&D networks. Our empirical evidence from Taiwanese subsidiaries in China indicate that in addition to firmpsilas specific assets, the formation of technology linkages and R&D networking intends to drive MNCs to have higher R&D investment even in a developing host country. Our findings may also refer to Dunningpsilas OLI framework in some way.
  • Keywords
    investment; research and development management; R&D investment; Taiwan-based firms; Taiwanese subsidiaries; cross-border technology; offshore R&D internationalization; Couplings; Globalization; Machine learning; Mathematical model; Procurement; Production; Technological innovation; R&D Internationalization; R&D Network; R&D Strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4621058
  • Filename
    4621058