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Local search and the evolution of technological capabilities

Stuart, Toby E., Podolny, Joel M.·2007·Strategic Management Journal

Abstract

The assumption that ‘local search’ constrains the direction of corporate R&D is central in evolutionary perspectives on technological change and competition. In this paper, we propose a network-analytic approach for identifying the evolution of firms' technological positions. The approach (1) permits graphical and quantitative assessments of the extent to which firms' search behavior is locally bounded, and (2) enables firms to be positioned and grouped according to the similarities in their innovative capabilities. The utility of the proposed framework is demonstrated by an analysis of strategic partnering and the evolution of the technological positions of the 10 largest Japanese semiconductor producers from 1982 to 1992.

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Metadata

Authors
Stuart, T. E., & Podolny, J. M.
Venue
Strategic Management Journal
Publisher
Wiley
Published
2007-07-05
Volume
17
Issue
S1
Pages
21-38
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
OpenAlex
W2167915553
Cited by
1,249
References
4
FWCI
206.47
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Local search and the evolution of technological capabilities. https://app.cochat.ai/papers/10.1002/smj.4250171004
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Stuart, T. E., & Podolny, J. M. (2007). Local search and the evolution of technological capabilities. Strategic Management Journal. https://doi.org/10.1002/smj.4250171004

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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.