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Cross-Industry Spatially Localized Innovation Networks

Author

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  • Alexander Karlik

    (Saint Petersburg Stte University of Economics)

  • Vladmir Platonov

    (Saint Petersburg State University of Economics)

Abstract

This article’s objective is to develop conceptual approach to the study of key decision-making factors of cross-industry spatially localized innovation networks regularities by the application of quantitative and qualitative data of St. Petersburg Innovation and Technology Cluster of Machinery Manufacturing and Metalworking. The paper is based on the previous research findings which conclude that such networks have a set of opportunities and constraints for innovation. The hypothesis is that in the clusters, representing a special type of these networks, the spatial proximity partly offsets the negative impact of industrial distance. The authors propose a structural and logical model of strategic decision-making to analyze these effects on innovation. They specify network’s influences on performance: cognitive diversity; knowledge and expertise; structural autonomy and equivalence. The model is applied to spatially localized cross-industry cluster and then improved in accordance with the obtained results for accounting resource flows. It allowed to take into account the dynamics of innovation activity and to develop the practical implications in the particular business context. The analysis identified the peculiarities of spatially localized crossindustry innovation cooperation in perspective of the combinations of tangible resources, information and other intangible resources for the renewal of mature industries. The research results can be used in business as well as in industrial and regional economic policy. In the conclusion, the article outlines future research directions: a comprehensive empirical study with the analysis of data on the factors of cross-industry cooperation which were identified in this paper with testing of causal relations; the developing an approach to the study of spatially localized networks based on the exchange of primary resources in the economic system stability framework.

Suggested Citation

  • Alexander Karlik & Vladmir Platonov, 2016. "Cross-Industry Spatially Localized Innovation Networks," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1218-1232.
    • Handle: RePEc:ura:ecregj:v:1:y:2016:i:4:p:1218-1232
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    References listed on IDEAS

    as
    1. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    2. Nobuya Fukugawa, 2006. "Determining Factors in Innovation of Small Firm Networks: A case of Cross Industry Groups in Japan," Small Business Economics, Springer, vol. 27(2), pages 181-193, October.
    3. Aleksandr Tatarkin & Yevgeniy Animitsa, 2012. "Formation of paradigmatic theory of regional economy," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 22-32.
    4. Nooteboom, Bart & Van Haverbeke, Wim & Duysters, Geert & Gilsing, Victor & van den Oord, Ad, 2007. "Optimal cognitive distance and absorptive capacity," Research Policy, Elsevier, vol. 36(7), pages 1016-1034, September.
    5. Aleksandr Tatarkin & Yevgeniy Animitsa, 2012. "Formation of paradigmatic theory of regional economy," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 11-21.
    6. Vladimir Platonov & Jukka-Pekka Bergman, 2011. "Cross-Border Cooperative Network in the Perspective of Innovation Dynamics," International Journal of Knowledge-Based Organizations (IJKBO), IGI Global, vol. 1(1), pages 1-19, January.
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    Cited by:

    1. Strgey Dyatlov & Oleg Lobanov & Weidi Zhou, 2018. "The Management of Regional Information Space in the Conditions of Digital Economy," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1194-1206.

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