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Successful Patterns of Scientific Knowledge Sourcing: Mix and Match

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  • Sofka, Wolfgang
  • Aschhoff, Birgit

Abstract

Valuable knowledge emerges increasingly outside of firm boundaries, in particular in public research institutions and universities. The question is how firms organize their interactions with universities effectively to acquire knowledge and apply it successfully. Literature has so far largely ignored that firms may combine different types of interactions with universities for optimizing their collaboration strategies. We argue conceptually that firms need diverse (broad) and highly developed (deep) combinations of various interactions with universities to maximize returns from these collaborations. Our empirical investigation rests upon a survey of more than 800 firms in Germany. We find that both the diversity and intensity of collaborative engagements with universities propel innovation success. However, broadening the spectrum of interactions is more beneficial with regard to innovation success. Applying latent class cluster analysis we identify four distinct patterns of interaction. Our findings show that formal forms of interaction (joint/contract) research provide the best balance between joint knowledge development and value capture.

Suggested Citation

  • Sofka, Wolfgang & Aschhoff, Birgit, 2008. "Successful Patterns of Scientific Knowledge Sourcing: Mix and Match," ZEW Discussion Papers 08-033, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:7305
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    Cited by:

    1. Nuttaneeya (Ann) Torugsa & Anthony Arundel, 2013. "Private–Public Collaboration And Innovation Performance: Does Training Matter?," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 17(03), pages 1-20.
    2. Grimpe, Christoph & Hussinger, Katrin, 2008. "Formal and Informal Technology Transfer from Academia to Industry: Complementarity Effects and Innovation Performance," ZEW Discussion Papers 08-080, ZEW - Leibniz Centre for European Economic Research.
    3. Michele Cincera & Pierre De Clercq & Thomas Gillet, 2015. "Optimal Openness Level and Economic Performance of Firms: Evidence from Belgian CIS Data," Working Papers TIMES² 2015-14, ULB -- Universite Libre de Bruxelles.

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    More about this item

    Keywords

    Technology transfer; industry-science links; open innovation; university knowledge;
    All these keywords.

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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