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Cited by 272

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

Changes in firm knowledge couplings and firm innovation performance: The moderating role of technological complexity

Open access
Yayavaram, Sai, Chen, Wei‐Ru·2015·Strategic Management Journal

Abstract

We investigate the effect of changes in a firm's knowledge couplings on its innovation performance. We develop arguments to explain how changes in couplings among existing knowledge domains and those between new and existing knowledge domains affect the generation of valuable inventions. We also examine how observed domain complexity, an indicator of the inherent interdependencies among knowledge domains, moderates the effects of changes in a firm's knowledge couplings on innovation performance. Our results suggest that a change in couplings among existing knowledge domains hurts innovation outcomes, but not when the degree of domain complexity is high, whereas coupling new and existing knowledge domains leads to improved outcomes, but not when the degree of domain complexity is high . Copyright © 2013 John Wiley & Sons, Ltd.

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Crossref · 10.1002/smj.2218

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Metadata

Authors
Yayavaram, S., & Chen, W.
Venue
Strategic Management Journal
Publisher
Wiley
Published
2014-01-02
Volume
36
Issue
3
Pages
377-396
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
OpenAlex
W1876509706
Cited by
272
References
53
FWCI
10.94
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Changes in firm knowledge couplings and firm innovation performance: The moderating role of technological complexity. https://app.cochat.ai/papers/10.1002/smj.2218
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Yayavaram, S., & Chen, W. (2015). Changes in firm knowledge couplings and firm innovation performance: The moderating role of technological complexity. Strategic Management Journal. https://doi.org/10.1002/smj.2218

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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.