Reexamining field research findings about three critical episodes in Intel Corporation’s evolution the authors find that when autonomous strategic behavior significantly increased relevant organizational knowledge Intel top management provided sustained support; when it did not, top management support stopped. Deploying an extended version of March’s (1991) computational model of organizational learning the authors find that, in stable and in moderately turbulent environments top management is likely to provide sustained support to autonomous strategic behavior only when it augments organizational knowledge that is significantly different from organizational learning already embodied in the firm’s current corporate strategy. Top management support depends on detecting such change in organizational learning by changing the rate of exploitation.
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6 July 2026
Research Article|
May 29 2026
Autonomous strategic behavior, organizational learning and top management support: reexamining field research with computational modeling
Robert A. Burgelman;
Robert A. Burgelman
Graduate School of Business,
Stanford University
, Stanford, California, USA
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Sasanka Sekhar Chanda
Department of Strategic Management,
Indian Institute of Management
, Indore, India
Corresponding author Sasanka Sekhar Chanda sschanda@iimidr.ac.in
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Corresponding author Sasanka Sekhar Chanda sschanda@iimidr.ac.in
Received:
February 06 2023
Revision Received:
February 22 2024
Accepted:
March 22 2024
Online ISSN: 2688-2639
Print ISSN: 2688-2612
© 2026 Emerald Publishing Limited
2026
Emerald Publishing Limited
Licensed re-use rights only
Strategic Management Review (2026) 7 (1): 44–72.
Article history
Received:
February 06 2023
Revision Received:
February 22 2024
Accepted:
March 22 2024
Citation
Burgelman RA, Chanda SS (2026), "Autonomous strategic behavior, organizational learning and top management support: reexamining field research with computational modeling". Strategic Management Review, Vol. 7 No. 1 pp. 44–72, doi: https://doi.org/10.1108/SMR-02-2023-0914
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