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Cited by 205

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Knowledge Acquisition, Network Reliance, and Early‐Stage Technology Venture Outcomes

Sullivan, Diane M., Marvel, Matthew R.·2011·Journal of Management Studies

Abstract

Knowledge acquisition is central to entrepreneurship when explaining successful venturing. However, little is known about how knowledge acquisition during early venture development affects desirable venture outcomes. This study draws on the knowledge‐based view and social network theory to develop and test a conceptual model of knowledge acquisition using a sample of early‐stage technology entrepreneurs operating in university‐affiliated incubators. We examine how an entrepreneur's acquisition of different types of knowledge and reliance on their network for knowledge relate to outcomes of product/service innovativeness and first‐year venture sales. Results suggest that acquiring technology knowledge positively relates to the innovativeness of products/services developed by entrepreneurs. Moreover, entrepreneurs can enhance this positive relationship by relying more on networks for technology knowledge acquisition.

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Crossref · 10.1111/j.1467-6486.2010.00998.x

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Metadata

Authors
Sullivan, D. M., & Marvel, M. R.
Venue
Journal of Management Studies
Publisher
Wiley
Published
2011-03-17
Volume
48
Issue
6
Pages
1169-1193
ISSN
  • 0022-2380 (ISSN-L)
  • 1467-6486
OpenAlex
W2142466392
Cited by
205
References
8
FWCI
14.68
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Knowledge Acquisition, Network Reliance, and Early‐Stage Technology Venture Outcomes. https://app.cochat.ai/papers/10.1111/j.1467-6486.2010.00998.x
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Sullivan, D. M., & Marvel, M. R. (2011). Knowledge Acquisition, Network Reliance, and Early‐Stage Technology Venture Outcomes. Journal of Management Studies. https://doi.org/10.1111/j.1467-6486.2010.00998.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.