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

Corporate effects and dynamic managerial capabilities

Adner, Ron, Helfat, Constance E.·2003·Strategic Management Journal

Abstract

Corporate effects in variance decomposition capture heterogeneity of business performance derived from factors internal to firms at the corporate level. Most estimates of corporate effects do not include effects associated with fluctuations in returns over time, except insofar as the fluctuations affect the average corporate return for the time period in question. Exclusion of the time‐varying dimension of the corporate effect makes it difficult to fully understand the effect of corporate strategy and the actions of corporate managers, particularly in response to a changing environment. The evidence in this article shows that within a single industry, where managers face the same external environment, time‐varying corporate effects associated with corporate level managerial decisions are statistically significant. We introduce the concept of dynamic managerial capabilities to underpin the finding of heterogeneity in managerial decisions and firm performance in the face of changing external conditions. Copyright © 2003 John Wiley & Sons, Ltd.

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Metadata

Authors
Adner, R., & Helfat, C. E.
Venue
Strategic Management Journal
Publisher
Wiley
Published
2003-09-12
Volume
24
Issue
10
Pages
1011-1025
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
OpenAlex
W1997097379
Cited by
1,756
References
3
FWCI
43.65
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Corporate effects and dynamic managerial capabilities. https://app.cochat.ai/papers/10.1002/smj.331
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Adner, R., & Helfat, C. E. (2003). Corporate effects and dynamic managerial capabilities. Strategic Management Journal. https://doi.org/10.1002/smj.331

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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.