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Cited by 295

The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.

The three faces of corporate renewal: Institution, revolution, and evolution

Mezias, Stephen J., Glynn, Mary Ann·1993·Strategic Management Journal

Abstract

We examine corporate renewal by taking a structural approach and focusing on the routines and rules that are part of large, established, bureaucratic organizations. We characterize approaches to the management of innovation in terms of three different themes–institutional, revolutional, and evolutional strategies. The first two approaches involve intentional efforts to encourage innovation, either within the current organizational paradigm (institutionalizing innovation) or moving away from it (revolutionary innovation), while the evolutional approach involves less conscious efforts to manage what is viewed as a random, probabilistic process. This paper uses simulation methodology to explore the effectiveness of these strategies on organizational innovation, performance, and resources. The behavior of the simulated organizational units is guided by assumptions of a learning model. Results indicate that innovation strategies sometimes have unintended effects that are both positive and negative in nature. Several lessons on managing innovation are offered.

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Crossref · 10.1002/smj.4250140202

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Metadata

Authors
Mezias, S. J., & Glynn, M. A.
Venue
Strategic Management Journal
Publisher
Wiley
Published
1993-02
Volume
14
Issue
2
Pages
77-101
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
OpenAlex
W2022792865
Cited by
295
References
87
FWCI
29.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The three faces of corporate renewal: Institution, revolution, and evolution. https://app.cochat.ai/papers/10.1002/smj.4250140202
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Mezias, S. J., & Glynn, M. A. (1993). The three faces of corporate renewal: Institution, revolution, and evolution. Strategic Management Journal. https://doi.org/10.1002/smj.4250140202

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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.