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Cited by 211

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Transfer in context: replication and adaptation in knowledge transfer relationships

Open access
Williams, Charles·2007·Strategic Management Journal

Abstract

This paper explores the role of replication and adaptation in knowledge transfer relationships. I develop a model of knowledge transfer in which firms replicate because knowledge is ambiguous and adapt because knowledge depends on context. In the model, firms replicate more when knowledge is discrete and adapt more when they understand the interactions between different areas of knowledge. Replication and adaptation lead to successful knowledge transfer, which leads to improved performance of the receiving unit. The predictions are tested using a survey of cross‐border knowledge transfer relationships among firms in the telecommunications industry. The results are largely consistent with the model and point to potential areas for future research, such as the drivers of replication, the depreciation rate of knowledge, and the role of understanding in organizational knowledge. Copyright © 2007 John Wiley & Sons, Ltd.

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Metadata

Authors
Williams, C.
Venue
Strategic Management Journal
Publisher
Wiley
Published
2007-05-04
Volume
28
Issue
9
Pages
867-889
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
OpenAlex
W1995387473
Cited by
211
References
6
FWCI
20.07
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Transfer in context: replication and adaptation in knowledge transfer relationships. https://app.cochat.ai/papers/10.1002/smj.614
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Williams, C. (2007). Transfer in context: replication and adaptation in knowledge transfer relationships. Strategic Management Journal. https://doi.org/10.1002/smj.614

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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.