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Cited by 336

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

Managing Strategic Nets: A Capability Perspective

Möller, Kristian, Svahn, Senja·2003·Marketing Theory

Abstract

This conceptual article focuses on the management of strategic business networks. Networks are seen to offer firms collective benefits beyond those of a single firm or market transaction. We aim to contribute to the development of the emerging theory of network management by integrating notions from the Industrial Network Approach, strategic management, and the Dynamic Capabilities View. Our starting premise is that the characteristics of the task that organizations try to accomplish through forming a specific strategic net, influence the management of that net and thus the capabilities required. In other words, we expect different types of strategic nets to require different managerial skill sets or capabilities. On the basis of this premise, we suggest a classification system for different types of strategic nets, identify key management issues that arise in operating in a network context, and consequently identify the basic capabilities required in managing different types of strategic nets.

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Metadata

Authors
Möller, K., & Svahn, S.
Venue
Marketing Theory
Published
2003-06
Volume
3
Issue
2
Pages
209-234
ISSN
  • 1470-5931 (ISSN-L)
  • 1741-301X
OpenAlex
W2159347204
Cited by
336
References
6
FWCI
29.52
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Managing Strategic Nets: A Capability Perspective. https://app.cochat.ai/papers/10.1177/14705931030032002
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Möller, K., & Svahn, S. (2003). Managing Strategic Nets: A Capability Perspective. Marketing Theory. https://doi.org/10.1177/14705931030032002

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.