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Cited by 897

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Strategic resources: Traits, configurations and paths to sustainable competitive advantage

Black, Janice A., Boal, Kimberly B.·2007·Strategic Management Journal

Abstract

The resource-based view (RBV) of the firm holds that certain assets with certain characteristics will lead to sustainable competitive advantage. All the traits are required to be present to result in sustainable competitive advantage. Such a trait approach overlooks the dynamics of the creation of firm resources especially the strategically important factors as identified by the resource based view theory. We propose that the resources are made up of factor networks which have specific interfactor and inter-resource relationships that result in the characteristic traits being evidenced. These strategic resource factor relationships include network type, available substitutes and cogency relationships (compensatory, enhancing and suppressing.) Specific configurations that lead to high or very high support of sustainable competitive advantage are proposed. Twenty-two specific paths to sustainable competitive advantage for a factor, contingent on resource factor traits and relationship configurations, are proposed. The implications, upon confirmation of these configurations, are discussed.

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Metadata

Authors
Black, J. A., & Boal, K. B.
Venue
Strategic Management Journal
Publisher
Wiley
Published
2007-06-14
Volume
15
Issue
S2
Pages
131-148
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
OpenAlex
W2138285147
Cited by
897
References
5
FWCI
189.26
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Strategic resources: Traits, configurations and paths to sustainable competitive advantage. https://app.cochat.ai/papers/10.1002/smj.4250151009
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Black, J. A., & Boal, K. B. (2007). Strategic resources: Traits, configurations and paths to sustainable competitive advantage. Strategic Management Journal. https://doi.org/10.1002/smj.4250151009

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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.