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The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Entry in the presence of dueling options

Folta, Timothy B., O'Brien, Jonathan P.·2004·Strategic Management Journal

Abstract

This paper investigates the influence of industry uncertainty on the decision by established firms to enter a new industry. Specifically, we examine the tension between the option to defer , which discourages entry in the presence of uncertainty, and the option to grow , which may encourage entry in the presence of uncertainty when there are early mover advantages. Empirical analysis on data from a broad array of industries revealed that the effect of uncertainty on entry is not monotonic. Our findings are the first to find support for the nonmonotonic effect of uncertainty that has only recently emerged in theoretical treatments of real options theory, and amplify the importance of considering both the option to defer and the option to grow when contemplating entry. Furthermore, we found evidence that the relationship between uncertainty and entry is moderated by: (a) irreversibility, which influences the value of the option to defer; (b) the total value of growth opportunities; and (c) early mover advantages, which magnify the value of growth options. Copyright © 2003 John Wiley & Sons, Ltd.

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Metadata

Authors
Folta, T. B., & O'Brien, J. P.
Venue
Strategic Management Journal
Publisher
Wiley
Published
2003-11-04
Volume
25
Issue
2
Pages
121-138
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
OpenAlex
W2081142080
Cited by
320
References
47
FWCI
7.18
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Entry in the presence of dueling options. https://app.cochat.ai/papers/10.1002/smj.368
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Folta, T. B., & O'Brien, J. P. (2004). Entry in the presence of dueling options. Strategic Management Journal. https://doi.org/10.1002/smj.368

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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.