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Cited by 207

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Entrepreneurial Access and Absorption of Knowledge Spillovers: Strategic Board and Managerial Composition for Competitive Advantage

Audretsch, David B., Lehmann, Erik·2006·Journal of Small Business Management

Abstract

The resource theory of the firm implies that knowledge is a key resource bestowing a competitive advantage for entrepreneurial firms. However, it remains rather unclear up to now how new ventures and small businesses can access knowledge resources. The purpose of this study was to suggest two strategies, in particular, that facilitate entrepreneurial access to and absorption of external knowledge spillovers: the attraction of managers and directors with an academic background. Based on data on board composition of 295 high-technology firms, the results clearly demonstrate the strong link between geographical proximity to research-intense universities and board composition.

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Crossref · 10.1111/j.1540-627x.2006.00161.x

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Metadata

Authors
Audretsch, D. B., & Lehmann, E.
Venue
Journal of Small Business Management
Published
2006-04
Volume
44
Issue
2
Pages
155-166
ISSN
  • 0047-2778 (ISSN-L)
  • 1540-627X
OpenAlex
W2027625845
Cited by
207
References
3
FWCI
26.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Entrepreneurial Access and Absorption of Knowledge Spillovers: Strategic Board and Managerial Composition for Competitive Advantage. https://app.cochat.ai/papers/10.1111/j.1540-627x.2006.00161.x
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Audretsch, D. B., & Lehmann, E. (2006). Entrepreneurial Access and Absorption of Knowledge Spillovers: Strategic Board and Managerial Composition for Competitive Advantage. Journal of Small Business Management. https://doi.org/10.1111/j.1540-627x.2006.00161.x

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.