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Editor's Choice Business model configurations and performance: A qualitative comparative analysis in Formula One racing, 2005–2013

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  • Paolo Aversa
  • Santi Furnari
  • Stefan Haefliger

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.

Suggested Citation

  • Paolo Aversa & Santi Furnari & Stefan Haefliger, 2015. "Editor's Choice Business model configurations and performance: A qualitative comparative analysis in Formula One racing, 2005–2013," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(3), pages 655-676.
    • Handle: RePEc:oup:indcch:v:24:y:2015:i:3:p:655-676.
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    File URL: http://hdl.handle.net/10.1093/icc/dtv012
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    Cited by:

    1. Chammassian, Raffi Gabriel & Sabatier, Valerie, 2020. "The role of costs in business model design for early-stage technology startups," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    2. Abbate, Tindara & Cesaroni, Fabrizio & Cinici, Maria Cristina & Villari, Massimo, 2019. "Business models for developing smart cities. A fuzzy set qualitative comparative analysis of an IoT platform," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 183-193.
    3. Best, Bernadette & Miller, Kristel & McAdam, Rodney & Moffett, Sandra, 2021. "Mission or margin? Using dynamic capabilities to manage tensions in social purpose organisations’ business model innovation," Journal of Business Research, Elsevier, vol. 125(C), pages 643-657.
    4. Lee, Hyeonsuh, 2023. "Unraveling the effect of pre-entry knowledge of founders on experimentation in nascent industries: A configurational approach," Journal of Business Research, Elsevier, vol. 167(C).
    5. Fredrich, Viktor & Bouncken, Ricarda B. & Tiberius, Victor, 2022. "Dyadic business model convergence or divergence in alliances? – A configurational approach," Journal of Business Research, Elsevier, vol. 153(C), pages 300-308.
    6. Pittino, Daniel & Visintin, Francesca & Lauto, Giancarlo, 2017. "A configurational analysis of the antecedents of entrepreneurial orientation," European Management Journal, Elsevier, vol. 35(2), pages 224-237.
    7. Remo-Diez, Nieves & Mendaña-Cuervo, Cristina & Arenas-Parra, Mar, 2023. "Exploring the asymmetric impact of sustainability reporting on financial performance in the utilities sector: A longitudinal comparative analysis," Utilities Policy, Elsevier, vol. 84(C).
    8. Baglieri, Daniela & Baldi, Francesco & Tucci, Christopher L., 2018. "University technology transfer office business models: One size does not fit all," Technovation, Elsevier, vol. 76, pages 51-63.
    9. Villani, Elisa & Linder, Christian & Lechner, Christian & Muller, Lina, 2021. "How do non-innovative firms start innovation and build legitimacy? The case of professional service firms," Journal of Business Research, Elsevier, vol. 137(C), pages 614-625.
    10. Aversa, Paolo & Guillotin, Olivier, 2018. "Firm technological responses to regulatory changes: A longitudinal study in the Le Mans Prototype racing," Research Policy, Elsevier, vol. 47(9), pages 1655-1673.
    11. Mariachiara Barzotto, 2024. "Educational (mis)match in the context of new manufacturing: A qualitative comparative analysis study in five European countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2116-2138, April.
    12. Del Sarto, Nicola & Isabelle, Diane A. & Di Minin, Alberto, 2020. "The role of accelerators in firm survival: An fsQCA analysis of Italian startups," Technovation, Elsevier, vol. 90.
    13. Laudien, Sven M. & Reuter, Ute & Sendra Garcia, Francisco Javier & Botella-Carrubi, Dolores, 2024. "Digital advancement and its effect on business model design: Qualitative-empirical insights," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    14. Joan Enric Ricart & Yuliya Snihur & Carlos Carrasco-Farré & Pascual Berrone, 2020. "Grassroots Resistance to Digital Platforms and Relational Business Model Design to Overcome It: A Conceptual Framework," Strategy Science, INFORMS, vol. 5(3), pages 271-291, September.
    15. Onur Burak Celik, 2020. "Survival of Formula One Drivers," Social Science Quarterly, Southwestern Social Science Association, vol. 101(4), pages 1271-1281, July.
    16. Iheanachor, Nkemdilim & David-West, Yinka & Umukoro, Immanuel Ovemeso, 2021. "Business model innovation at the bottom of the pyramid – A case of mobile money agents," Journal of Business Research, Elsevier, vol. 127(C), pages 96-107.
    17. Mena, Carlos & Karatzas, Antonios & Hansen, Carsten, 2022. "International trade resilience and the Covid-19 pandemic," Journal of Business Research, Elsevier, vol. 138(C), pages 77-91.
    18. Lawton, Thomas C. & De Villa, Maria Andrea & Santamaria-Alvarez, Sandra Milena, 2024. "Making Sense of Socio-Political Risks in International Business: A Configurational Approach to Embracing Complexity," Journal of International Management, Elsevier, vol. 30(2).
    19. Brenes, Esteban R. & Ciravegna, Luciano & Pichardo, Caleb A., 2019. "Managing institutional voids: A configurational approach to understanding high performance antecedents," Journal of Business Research, Elsevier, vol. 105(C), pages 345-358.

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