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Cross-Sectoral Digital Platform as a Tool for Innovation Ecosystem Development

Author

Listed:
  • Leyla Gamidullaeva

    (Department of Management and Economic Security, Penza State University, 440026 Penza, Russia
    Department of Applied and Business Informatics, K.G. Razumovsky Moscow State University of Technologies and Management (FCU), 109004 Moscow, Russia)

  • Tatyana Tolstykh

    (Department of Industrial Management, National University of Science & Technology (MISIS), 119049 Moscow, Russia
    Department of Industrial Economics, Plekhanov Russian University of Economics, 119049 Moscow, Russia)

  • Andrey Bystrov

    (Department of Industrial Economics, Plekhanov Russian University of Economics, 119049 Moscow, Russia)

  • Alexey Radaykin

    (Department of Industrial Economics, Plekhanov Russian University of Economics, 119049 Moscow, Russia)

  • Nadezhda Shmeleva

    (Department of Economics, National University of Science & Technology (MISIS), 119049 Moscow, Russia)

Abstract

At present, issues of ecosystem self-organization and the mechanisms for their sustainable development have been insufficiently explored in academic literature. The key idea of our research is that for enterprises interacting in different industries based on a network partnership, a special tool is needed to ensure the openness of interaction between participants in the transfer of knowledge, technology, information, and resources. The authors argue that the development and practical implementation of a cross-sectoral digital ecosystem platform will allow for the synchronizing of the scientific and technological progress of several industries, making the most effective use of the synergistic effect from the interaction of ecosystem actors and ensuring the transparency and openness of the ongoing processes therein. The authors demonstrate their propositions with the example of unmanned aircraft system (UAS) industry. The proposed model and mechanism of cross-sectoral interaction can be replicated in different technological niches, such as robotics, neurotechnology, quantum technologies, etc. The conclusions arising from the conducted research provide scientists, government bodies, and decision-makers with the necessary information for a better understanding of practical mechanisms and tools that allow for the implementation of self-organization and sustainable development in modern innovation ecosystems.

Suggested Citation

  • Leyla Gamidullaeva & Tatyana Tolstykh & Andrey Bystrov & Alexey Radaykin & Nadezhda Shmeleva, 2021. "Cross-Sectoral Digital Platform as a Tool for Innovation Ecosystem Development," Sustainability, MDPI, vol. 13(21), pages 1-24, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:11686-:d:662459
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    References listed on IDEAS

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    Cited by:

    1. Fedor Zagumennov, 2021. "In-Firm Planning and Business Processes Management Using Deep Neural Networks," GATR Journals jber213, Global Academy of Training and Research (GATR) Enterprise.

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