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The difficulties involved in developing business models open to innovation communities: the case of a crowdsourcing platform

Author

Listed:
  • Valérie Chanal

    (PACTE - Pacte, Laboratoire de sciences sociales - UPMF - Université Pierre Mendès France - Grenoble 2 - UJF - Université Joseph Fourier - Grenoble 1 - IEPG - Sciences Po Grenoble - Institut d'études politiques de Grenoble - CNRS - Centre National de la Recherche Scientifique)

  • Marie-Laurence Caron-Fasan

    (CERAG - Centre d'études et de recherches appliquées à la gestion - UPMF - Université Pierre Mendès France - Grenoble 2 - CNRS - Centre National de la Recherche Scientifique)

Abstract

Recent literature on open innovation suggests that firms can improve their performance by "opening" their business models, in other words, they can reduce their R&D costs by incorporating external knowledge. This implies that firms will be able to capture value through knowledge produced outside the organization. This, however, presents a number of difficulties notably where the knowledge produced is the result of collective creativity carried out by communities of peers. Here, tension can arise when some of the business actors involved take, or attempt to obtain, financial benefit from part of the value created by the online communities. The purpose of this article is to address the following research question: what are the main strategic difficulties encountered by firms whose business models rely on public web communities to create value? Our study used a collaborative research approach, and our empirical data is based on the longitudinal strategic analysis of a web start-up, CrowdSpirit, a collaborative web-based platform which enables communities to imagine and design innovative products. Our research highlights three main points that need to be addressed in further research on open business models. First, we highlight the fact that the ‘openness' of the business model to online communities leads to the development of a multi-level incentive model adapted to the different profiles of the various contributors. Second, we suggest that crowdsourcing platforms act as intermediaries in multi-sided markets and, as such, are at the core of a knowledge-sharing and IP transfer process between multiple actors. Finally, we suggest that the business model design and development can be considered as an ongoing learning process.

Suggested Citation

  • Valérie Chanal & Marie-Laurence Caron-Fasan, 2010. "The difficulties involved in developing business models open to innovation communities: the case of a crowdsourcing platform," Post-Print halshs-00544357, HAL.
  • Handle: RePEc:hal:journl:halshs-00544357
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    Citations

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    Cited by:

    1. Emmanuel W. Ayaburi & Jaeung Lee & Michele Maasberg, 0. "Understanding Crowdsourcing Contest Fitness Strategic Decision Factors and Performance: An Expectation-Confirmation Theory Perspective," Information Systems Frontiers, Springer, vol. 0, pages 1-14.
    2. Héloïse Berkowitz & Antoine, Souchaud, 2019. "Collective intelligence and co-dependent organization: the role of chartered accountants in crowdlending," Post-Print hal-02525737, HAL.
    3. Cao, Lanlan & Navare, Jyoti & Jin, Zhongqi, 2018. "Business model innovation: How the international retailers rebuild their core business logic in a new host country," International Business Review, Elsevier, vol. 27(3), pages 543-562.
    4. Isabelle Liotard, 2012. "Les plateformes d'innovation sur Internet : arrangements contractuels, intermédiation et gestion de la propriété intellectuelle," Post-Print hal-00680366, HAL.
    5. Leimeister, Jan Marco & Zogaj, Shkodran, 2013. "Neue Arbeitsorganisation durch Crowdsourcing: Eine Literaturstudie," Arbeitspapiere 287, Hans-Böckler-Stiftung, Düsseldorf.
    6. Nguyen Hoang Thuan & Pedro Antunes & David Johnstone, 2016. "Factors influencing the decision to crowdsource: A systematic literature review," Information Systems Frontiers, Springer, vol. 18(1), pages 47-68, February.
    7. Handan Vicdan & Mar Perezts, & A. Fuat Firat, 2021. "License to heal: Understanding a healthcare Platform Organization as a Multi-level Surveillant Assemblage," Post-Print hal-03173184, HAL.
    8. Lambert, Susan C. & Davidson, Robyn A., 2013. "Applications of the business model in studies of enterprise success, innovation and classification: An analysis of empirical research from 1996 to 2010," European Management Journal, Elsevier, vol. 31(6), pages 668-681.
    9. Patrizia Di Tullio & Diego Valentinetti & Michele Antonio Rea, 2018. "Integrating The Business Model Puzzle: A Systematic Literature Review," International Journal of Business Research and Management (IJBRM), Computer Science Journals (CSC Journals), vol. 9(1), pages 1-46, June.
    10. Benedikt Simmert & Philipp Alexander Ebel & Christoph Peters & Eva Alice Christiane Bittner & Jan Marco Leimeister, 2019. "Conquering the Challenge of Continuous Business Model Improvement," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 451-468, August.
    11. Emmanuel W. Ayaburi & Jaeung Lee & Michele Maasberg, 2020. "Understanding Crowdsourcing Contest Fitness Strategic Decision Factors and Performance: An Expectation-Confirmation Theory Perspective," Information Systems Frontiers, Springer, vol. 22(5), pages 1227-1240, October.
    12. Handan Vicdan & Mar Pérezts & A. Fuat Firat, 2021. "License to heal : Understanding a healthcare Platform Organization as a Multi-level Surveillant Assemblage," Post-Print hal-03207191, HAL.
    13. Bijoylaxmi Sarmah & Zillur Rahman, 2017. "Transforming Jewellery Designing: Empowering Customers through Crowdsourcing in India," Global Business Review, International Management Institute, vol. 18(5), pages 1325-1344, October.
    14. Vincenzo Vignieri, 2021. "Crowdsourcing as a mode of open innovation: Exploring drivers of success of a multisided platform through system dynamics modelling," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(1), pages 108-124, January.
    15. Inna Lyubareva & Pierre-Jean Benghozi & Teaiki Fidele, 2014. "Online Business Models in Creative Industries. Diversity and Structure," Post-Print hal-01258823, HAL.

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