• DocumentCode
    2924035
  • Title

    Accumulation of knowledge capabilities: The perspective of knowledge-based view and network theory

  • Author

    Wang, Ming-Chao ; Fang, Shih-Chieh

  • Author_Institution
    Dept. of Bus. Adm., Nat. Cheng Kung Univ., Tainan, Taiwan
  • fYear
    2011
  • fDate
    27-30 June 2011
  • Firstpage
    383
  • Lastpage
    387
  • Abstract
    Studying network structures and network content from knowledge-based view and network theory, we conceptualize a framework of knowledge network. Our approach defines sequences as the set of network structure, knowledge heterogeneous, and knowledge cognition a firm coordinates with partners to accumulate knowledge capabilities. Using a sample of 144 high-technology firms in Taiwan, we empirically identify three critical factors of knowledge network and demonstrate their relationships that the firm can facilitate its innovative performance by considering the effect of knowledge cognition. The network structure can provide us with significant insight about the circulation of knowledge within a firm´s relationships if we also disclose the content of the network. In short, while knowledge flow within a firm´s relationships are discussed with regard to the network structure and content, the ability of the firm to manage and benefit from such knowledge becomes the critical issues in network research. We discuss the implications of these findings for research on the accumulation of knowledge capabilities.
  • Keywords
    knowledge management; network theory (graphs); innovative performance; knowledge based view; knowledge capabilities; knowledge cognition; knowledge heterogeneous; network structure; network theory; Cognition; Indexes; Knowledge based systems; Knowledge engineering; Organizations; Social network services; Technological innovation; innovative performance; knowledge flow; knowledge networks; knowledge-based view; network theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technology Management Conference (ITMC), 2011 IEEE International
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-61284-951-5
  • Type

    conf

  • DOI
    10.1109/ITMC.2011.5995970
  • Filename
    5995970