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Cited by 467

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Ambidexterity under scrutiny: Exploration and exploitation via internal organization, alliances, and acquisitions

Open access
Stettner, Uriel, Lavie, Dovev·2014·Strategic Management Journal

Abstract

Prior research on ambidexterity has limited its concern to balancing exploration and exploitation via particular modes of operation. Acknowledging the interplay of tendencies to explore versus exploit via the internal organization, alliance, and acquisition modes, we claim that balancing these tendencies within each mode undermines firm performance because of conflicting routines, negative transfer, and limited specialization. Nevertheless, by exploring in one mode and exploiting in another, i.e., balancing across modes, a firm can avoid some of these impediments. Thus, we advance ambidexterity research by asserting that balance across modes enhances performance more than balance within modes. Our analysis of 190 U.S .‐based software firms further reveals that exploring via externally oriented modes such as acquisitions or alliances, while exploiting via internal organization, enhances these firms' performance . Copyright © 2013 John Wiley & Sons, Ltd.

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Metadata

Authors
Stettner, U., & Lavie, D.
Venue
Strategic Management Journal
Publisher
Wiley
Published
2013-11-21
Volume
35
Issue
13
Pages
1903-1929
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
OpenAlex
W1619449136
Cited by
467
References
8
FWCI
48.75
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Ambidexterity under scrutiny: Exploration and exploitation via internal organization, alliances, and acquisitions. https://app.cochat.ai/papers/10.1002/smj.2195
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Stettner, U., & Lavie, D. (2014). Ambidexterity under scrutiny: Exploration and exploitation via internal organization, alliances, and acquisitions. Strategic Management Journal. https://doi.org/10.1002/smj.2195

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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