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Cited by 616

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Adaptation in vertical relationships: beyond incentive conflict

Gulati, Ranjay, Lawrence, Paul R., Puranam, Phanish·2005·Strategic Management Journal

Abstract

In this study, we extend the analysis of adaptation in theories of economic organization beyond traditional considerations of incentive conflict (hold‐up). We conceptualize adaptation as coordinated and cooperative response to change, and define the adaptive capacity of a vertical relationship as the ability to generate coordinated and cooperative responses across procurer and supplier to changes in procurement conditions. We draw on the concepts of differentiation and integration to dimensionalize the adaptive capacity of different modes of procurement. Using data on all component classes procured internally and externally by Ford and Chrysler, we show that different procurement modes differ in terms of their adaptive capacity and performance. We also show that performance differences across modes of procurement arise as a function of the match between adaptive capacity and adaptation requirements associated with the exchange, and not only the match between governance form and transaction hazards. Copyright © 2005 John Wiley & Sons, Ltd.

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Metadata

Authors
Gulati, R., Lawrence, P. R., & Puranam, P.
Venue
Strategic Management Journal
Publisher
Wiley
Published
2005-03-11
Volume
26
Issue
5
Pages
415-440
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
OpenAlex
W1978822194
Cited by
616
References
16
FWCI
49.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Adaptation in vertical relationships: beyond incentive conflict. https://app.cochat.ai/papers/10.1002/smj.458
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Gulati, R., Lawrence, P. R., & Puranam, P. (2005). Adaptation in vertical relationships: beyond incentive conflict. Strategic Management Journal. https://doi.org/10.1002/smj.458

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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.