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The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Knowledge Networks and Innovative Performance in an Industrial District: The Case of a Footwear District in the South of Italy

Open access
Boschma, Ron A., ter Wal, Anne L. J.·2007·Industry & Innovation

Abstract

The traditional district literature tends to assume that: (1) the competitiveness of firms depends on external sources of knowledge; (2) all firms in a district benefit from knowledge externalities; (3) relying on external knowledge relationships necessarily means these are confined to the district area. Our case study of the Barletta footwear district in the South of Italy suggests otherwise. Based on social network analysis, we demonstrate that the local knowledge network is quite weak and unevenly distributed among the local firms. A strong local network position of a firm tended to increase their innovative performance, and so did their connectivity to extra‐local firms. So, it mattered being connected either locally or non‐locally: being co‐located was surely not enough. Having a high absorptive capacity seemed to raise only indirectly, through non‐local relationships, the innovative performance of firms.

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Crossref · 10.1080/13662710701253441

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Metadata

Authors
Boschma, R. A., & ter Wal, A. L. J.
Venue
Industry & Innovation
Published
2007-05
Volume
14
Issue
2
Pages
177-199
ISSN
  • 1366-2716 (ISSN-L)
  • 1469-8390
OpenAlex
W2105153825
Cited by
657
References
35
FWCI
101.50
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Knowledge Networks and Innovative Performance in an Industrial District: The Case of a Footwear District in the South of Italy. https://app.cochat.ai/papers/10.1080/13662710701253441
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Boschma, R. A., & ter Wal, A. L. J. (2007). Knowledge Networks and Innovative Performance in an Industrial District: The Case of a Footwear District in the South of Italy. Industry & Innovation. https://doi.org/10.1080/13662710701253441

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

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