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Cited by 1,854

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Invited Editorial: A Natural-Resource-Based View of the Firm: Fifteen Years After

Open access
Hart, Stuart L., Dowell, Glen·2011·Journal of Management
DOI 10.1177/0149206310390219
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Abstract

The authors revisit Hart’s natural-resource-based view (NRBV) of the firm and summarize progress that has been made in testing elements of that theory and reevaluate the NRBV in light of a number of important developments that have emerged in recent years in both the resource-based view literature and in research on sustainable enterprise. First, the authors consider how the NRBV can both benefit from recent work in dynamic capabilities and can itself inform such work. Second, they review recent research in the areas of clean technology and business at the base of the pyramid and suggest how the NRBV can help inform research on the resources and capabilities needed to enter and succeed in these domains.

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Show all 7 references

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Cited by

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Metadata

Authors
Hart, S. L., & Dowell, G.
Venue
Journal of Management
Publisher
SAGE Publications
Published
2010-12-10
Volume
37
Issue
5
Pages
1464-1479
ISSN
  • 0149-2063 (ISSN-L)
  • 1557-1211
DOI
10.1177/0149206310390219
OpenAlex
W2138384227
Cited by
1,854
References
7
FWCI
67.43
Type
journal article
Language
en
Open access
green
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)

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CoChat. (2026). Citation check: Invited Editorial: A Natural-Resource-Based View of the Firm: Fifteen Years After. https://app.cochat.ai/papers/10.1177/0149206310390219
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Hart, S. L., & Dowell, G. (2011). Invited Editorial: A Natural-Resource-Based View of the Firm: Fifteen Years After. Journal of Management. https://doi.org/10.1177/0149206310390219

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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.