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Cited by 200

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

Business model configurations and performance: A qualitative comparative analysis in Formula One racing, 2005-2013

Open access
Aversa, P., Furnari, S., Haefliger, S.·2015·Industrial and Corporate Change

Abstract

We investigate the business model configurations associated with high and low firm performance by conducting a qualitative comparative analysis of firms competing in Formula One racing. We find that configurations of two business models—one focused on selling technology to competitors, the other one on developing and trading human resources with competitors—are associated with high performance. We also investigate why these configurations are high-performing and find that they are underpinned by capability-enhancing complementarities, accelerating firms’ learning and supporting the development of focused firms’ capabilities.

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Crossref · 10.1093/icc/dtv012

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Metadata

Authors
Aversa, P., Furnari, S., & Haefliger, S.
Venue
Industrial and Corporate Change
Published
2015-05-12
Volume
24
Issue
3
Pages
655-676
ISSN
  • 0960-6491 (ISSN-L)
  • 1464-3650
OpenAlex
W2280909647
Cited by
200
References
7
FWCI
38.37
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Business model configurations and performance: A qualitative comparative analysis in Formula One racing, 2005-2013. https://app.cochat.ai/papers/10.1093/icc/dtv012
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Aversa, P., Furnari, S., & Haefliger, S. (2015). Business model configurations and performance: A qualitative comparative analysis in Formula One racing, 2005-2013. Industrial and Corporate Change. https://doi.org/10.1093/icc/dtv012

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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.