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The Effects Of Teacher Firms' Characteristics And Student Firms' Absorptive Capacity On Firm Performance In Technology Alliances

Author

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  • GUNNO PARK

    (Technology Management, Economics & Policy Program (TEMEP), Seoul National University, San 56-1, Shillim-Dong, Gwanak-Gu, Seoul 151-742, South Korea)

  • JINA KANG

    (Technology Management, Economics & Policy Program (TEMEP), Seoul National University, San 56-1, Shillim-Dong, Gwanak-Gu, Seoul 151-742, South Korea;
    Department of Industrial Engineering, College of Engineering, Seoul National University, San 56-1, Shillim-Dong, Gwanak-Gu, Seoul 151-742, South Korea)

Abstract

With the dramatically changing technology and market environments, the importance of technology alliance to develop new products and technologies by utilizing firms' external knowledge has increased. In order to provide insight on the relationship between teacher characteristics and technology alliance performances, this study conceptualized an alliance structure according to Lane and Lubatkin's 'dyadic construct,' consisting of student firms which absorb knowledge and teacher firms that transfer knowledge. Then we analyzed the relationship between teacher firms' relative characteristics and student firms' performance of the technology alliance, using the empirical data of the Korean IT firms that are listed on Korean stock market during 1999–2005. From this analysis, we find that teacher characteristics, such as technology capability, technology similarity, and capability for knowledge transfer, influence the performance of technology alliance.

Suggested Citation

  • Gunno Park & Jina Kang, 2009. "The Effects Of Teacher Firms' Characteristics And Student Firms' Absorptive Capacity On Firm Performance In Technology Alliances," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 393-409.
    • Handle: RePEc:wsi:ijimxx:v:13:y:2009:i:03:n:s1363919609002352
    DOI: 10.1142/S1363919609002352
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    Cited by:

    1. Shichun Xu & Erin Cavusgil & Seyda Deligonul, 2016. "Number Of R&D Alliances And Innovation Output — Nonlinear Relationship Evidence From The Pharmaceutical Industry," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(06), pages 1-22, August.

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