Cross-Industry Spatially Localized Innovation Networks

Alexander Karlik () and Vladmir Platonov ()
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Alexander Karlik: Saint Petersburg Stte University of Economics
Vladmir Platonov: Saint Petersburg State University of Economics

Economy of region, 2016, vol. 1, issue 4, 1218 - 1232

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.

Keywords: spatially localized innovation networks; cross-industry cooperation; clusters; innovation-driven development; resource-based view; resource flows; industrial policy; cognitive diversity; industrial distance; industry (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (1)

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