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  5. Decision tree for adaptation after radical changes: linking dynamic capabilities, ambidexterity, and strategic alliances
 
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Decision tree for adaptation after radical changes: linking dynamic capabilities, ambidexterity, and strategic alliances

Author(s)
Cozzolino, Alessio  
Verona, Gianmario  
Uri
http://hdl.handle.net/10197/28768
Date Issued
2024-05-24
Date Available
2025-08-19T10:40:04Z
Abstract
We developed a decision tree that integrates relevant organizational adaptation theories to respond to radical changes. The understanding of organizational adaptation often requires a combination of multiple theoretical lenses, especially considering today’s radical changes in technologies, markets, and regulations. However, the research streams on adaptation and change are often disconnected and we lack a unifying adaptation framework that might reveal the synergistic contribution of each theoretical perspective to the problem. To fill this important lacuna, we integrate four relevant scholarly perspectives on the topic: dynamic capabilities, ambidexterity, vertical alliances, and horizontal strategic alliances. Our main contribution is an integrative decision tree that unveils when and why each perspective is most appropriate to respond to radical changes. Our research also unpacks dynamic capabilities theory by suggesting when ambidexterity, vertical, and horizontal alliances are appropriate to integrate the upper-level theory of dynamic capabilities, and how they can overcome some of its limitations. The paper also clarifies that, in order to adapt ambidextrously after radical changes destroying core and/or complementary assets, companies need specific alliance strategies.
Other Sponsorship
Open Access funding provided by the IReL Consortium
Type of Material
Journal Article
Publisher
Springer
Journal
Journal of Management and Governance
Volume
28
Issue
3
Start Page
745
End Page
769
Copyright (Published Version)
2024 the Authors
Subjects

Business landscape

Strategic organizatio...

Radical changes

DOI
10.1007/s10997-024-09702-2
Language
English
Status of Item
Peer reviewed
ISSN
1385-3457
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by/3.0/ie/
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Cozzolino & Verona JMG 2024 accepted.pdf

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642.22 KB

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6349aef84b2cc81d492e62c019e94a95

Owning collection
Business Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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