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The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Business models for open innovation: Matching heterogeneous open innovation strategies with business model dimensions

Open access
Saebi, Tina, Foss, Nicolai J.·2015·European Management Journal

Abstract

Research on open innovation suggests that companies benefit differentially from adopting open innovation strategies; however, it is unclear why this is so. One possible explanation is that companies’ business models are not attuned to open strategies. Accordingly, we propose a contingency model of open business models by systematically linking open innovation strategies to core business model dimensions, notably the content, structure, governance of transactions. We further illustrate a continuum of open innovativeness, differentiating between four types of open business models. We contribute to the open innovation literature by specifying the conditions under which business models are conducive to the success of open innovation strategies.

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Metadata

Authors
Saebi, T., & Foss, N. J.
Venue
European Management Journal
Publisher
Elsevier BV
Published
2015-06
Volume
33
Issue
3
Pages
201-213
ISSN
0263-2373 (ISSN-L)
OpenAlex
W3125706980
Cited by
503
References
8
FWCI
78.33
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Business models for open innovation: Matching heterogeneous open innovation strategies with business model dimensions. https://app.cochat.ai/papers/10.1016/j.emj.2014.11.002
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Saebi, T., & Foss, N. J. (2015). Business models for open innovation: Matching heterogeneous open innovation strategies with business model dimensions. European Management Journal. https://doi.org/10.1016/j.emj.2014.11.002

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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.