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Cited by 635

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

The knowledge spillover theory of entrepreneurship

Acs, Zoltan J., Audretsch, David B., Lehmann, Erik E.·2013·Small Business Economics

Abstract

According to the knowledge spillover theory of entrepreneurship, the context in which decision-making is derived can influence one’s determination to become an entrepreneur. In particular, a context that is rich in knowledge generates entrepreneurial opportunities from those ideas. By commercializing ideas that evolved from an incumbent organization via the creation of a new firm, the entrepreneur (human capital) not only serves as a conduit for the spillover of knowledge, but also for the ensuing innovative activity and enhanced economic performance through resource allocation. The knowledge spillover theory of entrepreneurship brings together contemporary theories and thoughts of entrepreneurship with prevailing theories of economic growth, geography, and strategy and therefore explains not just why some people choose to become an entrepreneur, but also why this matters significantly for the economy and society.

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Metadata

Authors
Acs, Z. J., Audretsch, D. B., & Lehmann, E. E.
Venue
Small Business Economics
Published
2013-10-22
Volume
41
Issue
4
Pages
757-774
ISSN
  • 0921-898X (ISSN-L)
  • 1573-0913
OpenAlex
W4211165822
Cited by
635
References
5
FWCI
37.87
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The knowledge spillover theory of entrepreneurship. https://app.cochat.ai/papers/10.1007/s11187-013-9505-9
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Acs, Z. J., Audretsch, D. B., & Lehmann, E. E. (2013). The knowledge spillover theory of entrepreneurship. Small Business Economics. https://doi.org/10.1007/s11187-013-9505-9

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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.