• DocumentCode
    1823136
  • Title

    Effects of relational embeddedness on knowledge acquisition: An empirical study in China

  • Author

    Guannan Xu ; Yuan Zhou ; Lei Xu

  • Author_Institution
    Sch. of Public Policy & Manage., Tsinghua Univ., Beijing, China
  • fYear
    2013
  • fDate
    July 28 2013-Aug. 1 2013
  • Firstpage
    1396
  • Lastpage
    1403
  • Abstract
    This paper aims to explore the influential mechanism of upstream and downstream relational embeddedness on knowledge acquisition in different context of environmental dynamics. The upstream relational embeddedness is evaluated by firm´s trust, information sharing and joint problem solving with its suppliers, and the downstream relational embeddedness is evaluated by such attributes with clients. Based on the survey data from 157 Chinese manufacturing firms analyzed with multivariate linear regression, the empirical results show that upstream and downstream relational embeddedness has positively effects on knowledge acquisition through mutual trust, information sharing and joint problem solving. Moreover, high technological dynamics enhances the effects of upstream embeddedness. The results imply that firms should participate in manufacturing networks and manage inter-firm relationships properly to acquire new knowledge and achieve competitive advantages.
  • Keywords
    information management; knowledge acquisition; knowledge management; manufacturing industries; organisational aspects; problem solving; regression analysis; China; Chinese manufacturing firms; downstream relational embeddedness; environmental dynamics; firm mutual trust; information sharing; joint problem solving; knowledge acquisition; multivariate linear regression; upstream relational embeddedness; Information management; Joints; Knowledge acquisition; Problem-solving; Technological innovation;
  • 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
    6641814