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Cited by 555

The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.

Entrepreneurial Storytelling, Future Expectations, and the Paradox of Legitimacy

Open access
Garud, Raghu, Schildt, Henri A., Lant, Theresa K.·2014·Organization Science

Abstract

Prior research highlights storytelling as a means for entrepreneurs to establish venture legitimacy and gain stakeholder support. We extend this line of research by examining the role that projective stories play in setting expectations and the dynamics that ensue. Such attention highlights a paradox—the very expectations that are set through projective stories to gain venture legitimacy can also serve as the source of future disappointments. Because of inherent uncertainties that projective stories mask, ventures will likely deviate from their early projections, thereby disappointing stakeholders. This, in turn, can result in a loss of legitimacy. Recognizing that entrepreneurship is an ongoing process, we examine the constraints and possibilities of maintaining or regaining legitimacy through revised storytelling. We conclude the paper with implications for research on entrepreneurial storytelling as an ongoing process.

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Metadata

Authors
Garud, R., Schildt, H. A., & Lant, T. K.
Venue
Organization Science
Published
2014-10
Volume
25
Issue
5
Pages
1479-1492
ISSN
  • 1047-7039 (ISSN-L)
  • 1526-5455
OpenAlex
W2096277470
Cited by
555
References
99
FWCI
38.71
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Entrepreneurial Storytelling, Future Expectations, and the Paradox of Legitimacy. https://app.cochat.ai/papers/10.1287/orsc.2014.0915
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Garud, R., Schildt, H. A., & Lant, T. K. (2014). Entrepreneurial Storytelling, Future Expectations, and the Paradox of Legitimacy. Organization Science. https://doi.org/10.1287/orsc.2014.0915

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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.