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Knowledge bases in German regions: what hinders combinatorial knowledge dynamics and how regional innovation policies may help

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  • Tatjana Bennat
  • Rolf Sternberg

Abstract

Due to the greater involvement of users and the co-creation of ideas with suppliers or other firms, innovation processes are increasingly based upon combinatorial knowledge. Thus, innovation is not restricted to research-and-development-driven, science-based knowledge, but is also the result of experiences and creative thinking. This has consequences for regional innovation policies because each knowledge type differs regarding policy requirements. Contributing to the under-researched topic of the barriers of combinatorial knowledge dynamics in practice, the aim of this paper was to guide government policies in transferring theoretical insights into a contemporary, place-based policy approach. In accordance with the knowledge base approach this paper clearly distinguishes between analytical knowledge, synthetic knowledge and symbolic knowledge. The analysis consists of in-depth interviews, conducted in two case-study regions in Germany. This paper deduces several local factors that have hampered combinatorial knowledge dynamics, and identifies obstacles that can only be overcome at the federal state or national levels.

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  • Tatjana Bennat & Rolf Sternberg, 2020. "Knowledge bases in German regions: what hinders combinatorial knowledge dynamics and how regional innovation policies may help," European Planning Studies, Taylor & Francis Journals, vol. 28(2), pages 319-339, February.
    • Handle: RePEc:taf:eurpls:v:28:y:2020:i:2:p:319-339
    DOI: 10.1080/09654313.2019.1656168
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    Cited by:

    1. Tatjana Bennat, 2022. "High Innovativeness of SMEs and the Configuration of Learning-by-Doing, Learning-by-Using, Learning-by-Interacting, and Learning-by-Science: a Regional Comparison Applying Fuzzy Qualitative Comparativ," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(2), pages 1666-1691, June.
    2. Shuaijun Xue & Robert Hassink, 2021. "Combinatorial knowledge bases, proximity and agency across space: the case of the high-end medical device industry in Shanghai," PEGIS geo-disc-2021_04, Institute for Economic Geography and GIScience, Department of Socioeconomics, Vienna University of Economics and Business.
    3. Friedrich, Christoph & Feser, Daniel, 2021. "Combining knowledge bases for system innovation in regions: Insights from an East German case study," University of Göttingen Working Papers in Economics 430, University of Goettingen, Department of Economics.
    4. Alhusen, Harm & Bennat, Tatjana & Bizer, Kilian & Cantner, Uwe & Horstmann, Elaine & Kalthaus, Martin & Proeger, Till & Sternberg, Rolf & Töpfer, Stefan, 2021. "A New Measurement Conception for the ‘Doing-Using-Interacting’ Mode of Innovation," Research Policy, Elsevier, vol. 50(4).
    5. Parrilli, M. Davide & Balavac-Orlić, Merima & Radicic, Dragana, 2023. "Environmental innovation across SMEs in Europe," Technovation, Elsevier, vol. 119(C).

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