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The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Business model innovation and competitive imitation: The case of sponsor‐based business models

Open access
Casadesus‐Masanell, Ramon, Zhu, Feng·2013·Strategic Management Journal

Abstract

This paper provides the first formal model of business model innovation. Our analysis focuses on sponsor‐based business model innovations where a firm monetizes its product through sponsors rather than setting prices to its customer base. We analyze strategic interactions between an innovative entrant and an incumbent where the incumbent may imitate the entrant's business model innovation once it is revealed. The results suggest that an entrant needs to strategically choose whether to reveal its innovation by competing through the new business model, or conceal it by adopting a traditional business model. We also show that the value of business model innovation may be so substantial that an incumbent may prefer to compete in a duopoly rather than to remain a monopolist. Copyright © 2012 John Wiley & Sons, Ltd.

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Metadata

Authors
Casadesus‐Masanell, R., & Zhu, F.
Venue
Strategic Management Journal
Publisher
Wiley
Published
2012-09-20
Volume
34
Issue
4
Pages
464-482
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
OpenAlex
W1947085615
Cited by
870
References
7
FWCI
94.70
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Business model innovation and competitive imitation: The case of sponsor‐based business models. https://app.cochat.ai/papers/10.1002/smj.2022
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Casadesus‐Masanell, R., & Zhu, F. (2013). Business model innovation and competitive imitation: The case of sponsor‐based business models. Strategic Management Journal. https://doi.org/10.1002/smj.2022

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.