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Cited by 906

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Exploration, exploitation, and financial performance: analysis of S&P 500 corporations

Open access
Uotila, Juha, Maula, Markku, Keil, Thomas, Zahra, Shaker A.·2009·Strategic Management Journal

Abstract

The literature suggests that established firms need to balance their exploration and exploitation activities in order to achieve superior performance. Yet, previous empirical research has modeled this balance as the interaction of orthogonal activities. In this study, we show that there is a trade‐off between exploration and exploitation and that the optimal balance between exploration and exploitation depends upon environmental conditions. Using a novel methodology to measure the relative exploration versus exploitation orientation, we find an inverted U‐shaped relationship between the relative share of explorative orientation and financial performance. This relationship is positively moderated by the R&D intensity of the industry in which the firm operates. Copyright © 2008 John Wiley & Sons, Ltd.

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Crossref · 10.1002/smj.738

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Metadata

Authors
Uotila, J., Maula, M., Keil, T., & Zahra, S. A.
Venue
Strategic Management Journal
Publisher
Wiley
Published
2008-11-27
Volume
30
Issue
2
Pages
221-231
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
OpenAlex
W2112571414
Cited by
906
References
10
FWCI
57.03
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Exploration, exploitation, and financial performance: analysis of S&P 500 corporations. https://app.cochat.ai/papers/10.1002/smj.738
The paper
Uotila, J., Maula, M., Keil, T., & Zahra, S. A. (2009). Exploration, exploitation, and financial performance: analysis of S&P 500 corporations. Strategic Management Journal. https://doi.org/10.1002/smj.738

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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.