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Do Networks Matter for Innovation? The usefulness of the economic network approach in analysing innovation

Oerlemans, Leon A.G., Meeus, Marius T.H., Boekema, Frans W.M.·1998·Tijdschrift voor Economische en Sociale Geografie

Abstract

Economic network theory emphasises the importance of external resource mobilisation. In this paper, the relations between the mobilisation and use of internal and external resources in innovation processes, and the innovative performance of firms, are explored empirically, using an adapted version of Håkansson's (1987) economic network model. The main research question was: to what extent do network variables contribute to the innovative performance of firms? To answer this question, we assessed the explanatory power of economic network theory within the empirical study of innovation. Firms were found to engage in various configurations of internal and external resource bases, enabling them to innovate with better results. The relations in the estimated models are strongly influenced by moderating variables such as sector, and type and level of innovations produced. Our main conclusion is that models that include both internal and external resources explain the innovative performance better than models in which only internal resources are used.

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Metadata

Authors
Oerlemans, L. A. G., Meeus, M. T. H., & Boekema, F. W. M.
Venue
Tijdschrift voor Economische en Sociale Geografie
Publisher
Wiley
Published
1998-08
Volume
89
Issue
3
Pages
298-309
ISSN
  • 0040-747X (ISSN-L)
  • 1467-9663
OpenAlex
W2138021882
Cited by
224
References
0
FWCI
17.83
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Do Networks Matter for Innovation? The usefulness of the economic network approach in analysing innovation. https://app.cochat.ai/papers/10.1111/1467-9663.00029
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Oerlemans, L. A. G., Meeus, M. T. H., & Boekema, F. W. M. (1998). Do Networks Matter for Innovation? The usefulness of the economic network approach in analysing innovation. Tijdschrift voor Economische en Sociale Geografie. https://doi.org/10.1111/1467-9663.00029

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.