• DocumentCode
    2924001
  • Title

    Knowledge assimilation in R&D alliance: The effectiveness of firms´ internal and external capabilities

  • Author

    Wang, Ming-Chao ; Lee, Cheng-Yu

  • Author_Institution
    Dept. of Bus. Adm., Nat. Cheng Kung Univ., Tainan, Taiwan
  • fYear
    2011
  • fDate
    27-30 June 2011
  • Firstpage
    379
  • Lastpage
    382
  • Abstract
    This paper applies organizational learning and network theory to understand the contingencies of the relationship between technological diversity and firm performance in R&D alliance. It focuses on two aspects of organizational capabilities (learning speed and network centrality of the firm) as potential enhancements to the firm´s financial performance. To carry out these empirical examinations, we constructed a data set comprising the alliance and patenting activities of firms in various U.S. industries. This study points out the disadvantage of a high level of technological diversity among alliance firms. It also explores the internal and external capabilities of firms, as measured by learning speed and network centrality, and the positive effects of these capabilities on firm performance. The study´s implications and future research directions are discussed.
  • Keywords
    data assimilation; innovation management; knowledge management; network theory (graphs); organisational aspects; patents; technology management; R&D alliance; U.S. industries; data set; financial performance; firm performance; internal-external capabilities; knowledge assimilation; network theory; organizational learning; patenting activities; technological diversity; Analytical models; Collaboration; Industries; Knowledge engineering; Manufacturing; Marketing and sales; Patents; R&D alliance; learning speed; network centrality; organizational capabilities; technological diversity;
  • 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.2011.5995969
  • Filename
    5995969