IDEAS home Printed from https://ideas.repec.org/a/wsi/ijitmx/v04y2007i03ns0219877007001119.html
   My bibliography  Save this article

Local Firm'S Knowledge Acquisition In The Global Manufacturing Network: Evidence From Chinese Samples

Author

Listed:
  • XIAOBO WU

    (School of Management, Zhejiang University, Hangzhou 310058, China)

  • XUEFENG LIU

    (School of Management, Zhejiang Universtiy, Faculty Member of School of Management, Xiamen University, Xiamen 361005, China)

  • JIAN DU

    (School of Management, Zhejiang University, Hangzhou 310058, China)

Abstract

The Global Manufacturing Network (GMN) is a new manufacturing system, which provides great opportunities for local firms in developing countries to acquire knowledge and upgrade capabilities through collaborations in the GMN. This paper hypothesizes that local firm's potential absorptive capacity has a positive impact on its knowledge acquisition in the GMN, and the association between them is moderated by network embeddedness. Using data from Chinese manufacturing firms, this paper confirms the hypothesis that local firm's potential absorptive capacity can contribute to its knowledge acquisition in the GMN, and the hypothesis of the moderating effect of network embeddedness is partially supported by the results.

Suggested Citation

  • Xiaobo Wu & Xuefeng Liu & Jian Du, 2007. "Local Firm'S Knowledge Acquisition In The Global Manufacturing Network: Evidence From Chinese Samples," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 4(03), pages 267-281.
  • Handle: RePEc:wsi:ijitmx:v:04:y:2007:i:03:n:s0219877007001119
    DOI: 10.1142/S0219877007001119
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219877007001119
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0219877007001119?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tanoos, James J, 2017. "East Asian Trade Cooperation versus US and EU Protectionist Trends and their Association to Chinese Steel Exports," Asian Journal of Economics and Empirical Research, Asian Online Journal Publishing Group, vol. 4(1), pages 1-7.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:ijitmx:v:04:y:2007:i:03:n:s0219877007001119. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijitm/ijitm.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.