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Cited by 429

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Entry Strategies Under Competing Standards: Hybrid Business Models in the Open Source Software Industry

Bonaccorsi, Andrea, Giannangeli, Silvia, Rossi, Cristina·2006·Management Science

Abstract

The paper analyzes the strategies of software firms that have entered the open source (OS) field. The notion of the OS business model is discussed in the light of a substantial body of theoretical literature concerning strategic management and the economics of innovation, as well as specialized literature on OS. Empirical evidence based on a survey of 146 Italian software firms shows that firms have adapted to an environment dominated by incumbent standards by combining the offering of proprietary and OS software under different licensing schemes, thus choosing a hybrid business model. The paper examines the determinants of the degree of openness toward OS and discusses the stability of hybrid models in the evolution of the industry.

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Metadata

Authors
Bonaccorsi, A., Giannangeli, S., & Rossi, C.
Venue
Management Science
Published
2006-07
Volume
52
Issue
7
Pages
1085-1098
ISSN
  • 0025-1909 (ISSN-L)
  • 1526-5501
OpenAlex
W3125469391
Cited by
429
References
4
FWCI
45.01
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Entry Strategies Under Competing Standards: Hybrid Business Models in the Open Source Software Industry. https://app.cochat.ai/papers/10.1287/mnsc.1060.0547
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Bonaccorsi, A., Giannangeli, S., & Rossi, C. (2006). Entry Strategies Under Competing Standards: Hybrid Business Models in the Open Source Software Industry. Management Science. https://doi.org/10.1287/mnsc.1060.0547

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.