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Cited by 2,208

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

The evolution of cooperation in strategic alliances: Initial conditions or learning processes?

Doz, Yves L.·2007·Strategic Management Journal
DOI 10.1002/smj.4250171006
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Abstract

We examine how the learning, along several dimensions (environment, task, process, skills, goals), that takes place in strategic alliances between firms mediates between the initial conditions and the outcomes of these alliances. Through a longitudinal case study of two projects in one alliance, replicated and extended in another four projects in two alliances, a framework was developed to analyze the evolution of cooperation in strategic alliances. Successful alliance projects were highly evolutionary and went through a sequence of interactive cycles of learning, reevaluation and readjustment. Failing projects, conversely, were highly inertial, with little learning, or divergent learning between cognitive understanding and behavioral adjustment, or frustrated expectations. Although strategic alliances may be a special case of organizational learning, we believe analyzing the evolution of strategic alliances helps transcend too simple depictions of inertia and adaptation, in particular by suggesting that initial conditions may lead to a stable ‘imprinting’ of fixed processes that make alliances highly inertial or to generative and evolutionary processes that make them highly adaptive, depending on how they are set.

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Show all 6 references

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Cited by

Metadata

Authors
Doz, Y. L.
Venue
Strategic Management Journal
Publisher
Wiley
Published
2007-07-05
Volume
17
Issue
S1
Pages
55-83
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
DOI
10.1002/smj.4250171006
OpenAlex
W2043988622
Cited by
2,208
References
6
FWCI
467.42
Type
journal article
Language
en
Open access
closed
Licence
doi.wiley.com/10.1002/tdm_license_1.1 (tdm, 2980 d)

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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.