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Cited by 537

The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.

Relational Contracts and Organizational Capabilities

Open access
Gibbons, Robert, Henderson, Rebecca·2012·Organization Science

Abstract

A large literature identifies unique organizational capabilities as a potent source of competitive advantage, yet our knowledge of why capabilities fail to diffuse more rapidly—particularly in situations in which competitors apparently have strong incentives to adopt them and a well-developed understanding of how they work—remains incomplete. In this paper we suggest that competitively significant capabilities often rest on managerial practices that in turn rely on relational contracts (i.e., informal agreements sustained by the shadow of the future). We argue that one of the reasons these practices may be difficult to copy is that effective relational contracts must solve the twin problems of credibility and clarity and that although credibility might, in principle, be instantly acquired, clarity may take time to develop and may interact with credibility in complex ways so that relational contracts may often be difficult to build.

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Crossref · 10.1287/orsc.1110.0715

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Metadata

Authors
Gibbons, R., & Henderson, R.
Venue
Organization Science
Published
2012-10
Volume
23
Issue
5
Pages
1350-1364
ISSN
  • 1047-7039 (ISSN-L)
  • 1526-5455
OpenAlex
W2028611915
Cited by
537
References
62
FWCI
61.51
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Relational Contracts and Organizational Capabilities. https://app.cochat.ai/papers/10.1287/orsc.1110.0715
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Gibbons, R., & Henderson, R. (2012). Relational Contracts and Organizational Capabilities. Organization Science. https://doi.org/10.1287/orsc.1110.0715

Data sources

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.