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Cited by 1,738

The DOI matches its Crossref record.

Strategy safari: a guided tour through the wilds of strategic management

·1999·Choice Reviews Online

Abstract

Strategy Safari, the international bestseller on business strategy by leading management thinker Henry Mintzberg and his colleagues Bruce Ahlstrand and Joseph Lampel, is widely considered a classic work in the field. No other book synthesizes the entire history and evolution of strategic management in so lively and entertaining a fashion. Since the initial publication of Strategy Safari, managers, consultants, and academics all over the world have found this book an indispensable and delightful tool it has been translated into more than ten languages, including Chinese, Russian, and French, and has been used in top MBA programs worldwide. Strategy makes sense of a field that often seems to make no sense. Mintzberg, Ahlstrand, and Lampel pair their sweeping vision of strategy making with an authoritative catalog in which they identify ten schools of strategy that have emerged over the past four decades. Why struggle through the vast, confusing terrain of strategy formation? With clarity and depth, Strategy Safari maps the strategic landscape and facilitates intelligent, informed strategy formation.

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Metadata

Venue
Choice Reviews Online
Published
1999-02-01
Volume
36
Issue
06
Pages
36-3419-36-3419
ISSN
  • 0009-4978 (ISSN-L)
  • 1523-8253
OpenAlex
W1483763241
Cited by
1,738
References
0
Type
book review
Language
en
Open access
closed

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CoChat. (2026). Citation check: Strategy safari: a guided tour through the wilds of strategic management. https://app.cochat.ai/papers/10.5860/choice.36-3419
The paper
Strategy safari: a guided tour through the wilds of strategic management. (1999). Choice Reviews Online. https://doi.org/10.5860/choice.36-3419

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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.