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Entering the black box of platform orchestration : a metaphoric co-evolutionary framework for platform-based ecosystems

Author

Listed:
  • Xavier Parisot

    (IKI-SEA - The Institute for Knowledge and Innovation South East Asia (Bangkok University))

  • Thierry Isckia

    (LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], IMT-BS - MMS - Département Management, Marketing et Stratégie - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris])

  • Pierre Vialle

    (LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], IMT-BS - MMS - Département Management, Marketing et Stratégie - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris])

Abstract

Since the first empirical definition of business ecosystems (BEs), its central orchestration dynamic has been defined as co-evolutive. If the nature of the associated mechanisms is still debated, the co-evolutionary nature of inter-organizational innovation processes has been largely demonstrated. Platform-based ecosystems are characterized by a flexible and scalable architecture of cooperation designed to leverage collective intelligence. In such a context, platforms serve as a backbone for inter-organizational collaboration and facilitate interactions. But for a platform-based ecosystem to flourish inter-organizational coevolutionary processes have to be triggered. To better understand how platform-based ecosystems achieve such goal, an empirical and theoretical characterization of the associated co-evolutionary processes is of utmost importance. However, current analogical transpositions of co-evolutionary mechanisms from biology to strategic management are still disparate and partial. To leverage our understanding of co-evolutionary mechanisms involved in biological complex adaptive systems, the application of a metaphorical transposition is necessary. The metaphorical transposition of coevolutionary mechanisms in organizational sciences enables the distinction between several mechanisms: mimicry, co-adaptation, and 3 different forms of co-evolutive mutualisms. This distinction allows a better understanding of platforms coordination processes, thus opening the way for the empirical identification of specific generative mechanisms and their related triggering factors.

Suggested Citation

  • Xavier Parisot & Thierry Isckia & Pierre Vialle, 2019. "Entering the black box of platform orchestration : a metaphoric co-evolutionary framework for platform-based ecosystems," Post-Print hal-02264571, HAL.
  • Handle: RePEc:hal:journl:hal-02264571
    Note: View the original document on HAL open archive server: https://hal.science/hal-02264571v1
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