Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 676

The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.

Knowledge Networks, Collaboration Networks, and Exploratory Innovation

Wang, Chunlei, Rodan, Simon, Fruin, Mark, Xu, Xiaoyan·2014·Academy of Management Journal

Abstract

Innovation in firms is doubly embedded: in a social network of collaborations between researchers, and in a knowledge network composed of linkages between knowledge elements. The two networks are decoupled. Their structural features are distinct and influence researchers' exploratory innovation differently. Using the patent data of a leading U.S. microprocessor manufacturer, we constructed the firm's collaboration and knowledge networks, and examined the effects of two structural features in the two networks—structural holes and degree centrality—on researchers' exploratory innovation. Our findings show that a researcher with knowledge elements rich in structural holes in the knowledge network tends to explore fewer new knowledge elements from outside the firm, while structural holes in the collaboration network increase exploratory innovation. The average degree centrality of a researcher's knowledge elements in the knowledge network has an inverted-U-shaped relationship with his or her exploratory innovation, while degree centrality in the collaboration network has a negative effect. This study suggests that knowledge and social networks influence where researchers search for discoveries.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.5465/amj.2011.0917

Cites

89 of 89 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 89 references

Metadata

Authors
Wang, C., Rodan, S., Fruin, M., & Xu, X.
Venue
Academy of Management Journal
Published
2014-04
Volume
57
Issue
2
Pages
484-514
ISSN
  • 0001-4273 (ISSN-L)
  • 1948-0989
OpenAlex
W2067744768
Cited by
676
References
89
FWCI
50.74
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Knowledge Networks, Collaboration Networks, and Exploratory Innovation. https://app.cochat.ai/papers/10.5465/amj.2011.0917
The paper
Wang, C., Rodan, S., Fruin, M., & Xu, X. (2014). Knowledge Networks, Collaboration Networks, and Exploratory Innovation. Academy of Management Journal. https://doi.org/10.5465/amj.2011.0917

Data sources

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.