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Cited by 163

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

Understanding academic entrepreneurship: Exploring the emergence of university spin-off ventures using process theories

Rasmussen, Einar·2011·International Small Business Journal: Researching Entrepreneurship

Abstract

This article explores how the use of process theories can lead to a better understanding of the university spin-off venture formation process. The most frequently used conceptualization of the new venture formation process is the stage model or life-cycle theory. However, no conceptual framework exists to describe how the venturing process proceeds from one stage to the next. Based on a longitudinal study of the initiation and early development of four university spin-offs, this article shows that life-cycle, teleological, dialectic and evolutionary theories explain different aspects of the spin-off venturing process. In combination, these theories may provide a more holistic understanding of the academic entrepreneurship process. The assumptions of each theory suggest important implications for further research on academic entrepreneurship and entrepreneurial processes in general.

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Metadata

Authors
Rasmussen, E.
Venue
International Small Business Journal: Researching Entrepreneurship
Published
2011-02-14
Volume
29
Issue
5
Pages
448-471
ISSN
  • 0266-2426 (ISSN-L)
  • 1741-2870
OpenAlex
W2056882015
Cited by
163
References
3
FWCI
17.57
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Understanding academic entrepreneurship: Exploring the emergence of university spin-off ventures using process theories. https://app.cochat.ai/papers/10.1177/0266242610385395
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Rasmussen, E. (2011). Understanding academic entrepreneurship: Exploring the emergence of university spin-off ventures using process theories. International Small Business Journal: Researching Entrepreneurship. https://doi.org/10.1177/0266242610385395

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.