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Cited by 942

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A knowledge‐based theory of the firm to guide in strategy formulation

Sveiby, Karl‐Erik·2001·Journal of Intellectual Capital

Abstract

This article is seeking to explore the practical implications of an epistemological approach to strategy formulation. In doing so it tries to expand the field of knowledge management and intellectual capital beyond its operational and often inwardly technological focus to a new theory of the firm. A resource‐based perspective is suggested, using autopoietic epistemology to guide strategy formulation. People use their capacity‐to‐act in order to create value in mainly two directions; by transferring and converting knowledge externally and internally to the organisation. The value grows each time a knowledge transfer or conversion takes place. The strategy formulation issues are concerned with how to utilise the leverage and how to avoid the blockages that prevent sharing and conversion. Activities that form the backbone of a knowledge‐based strategy are to be aimed at improving the capacity‐to‐act both inside and outside the organisation.

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Metadata

Authors
Sveiby, K.
Venue
Journal of Intellectual Capital
Publisher
Emerald
Published
2001-12-01
Volume
2
Issue
4
Pages
344-358
ISSN
1469-1930 (ISSN-L)
OpenAlex
W2028500282
Cited by
942
References
1
FWCI
54.02
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A knowledge‐based theory of the firm to guide in strategy formulation. https://app.cochat.ai/papers/10.1108/14691930110409651
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Sveiby, K. (2001). A knowledge‐based theory of the firm to guide in strategy formulation. Journal of Intellectual Capital. https://doi.org/10.1108/14691930110409651

Data sources

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.