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The transformative power of artificial intelligence within innovation ecosystems: a review and a conceptual framework

Author

Listed:
  • Giustina Secundo

    (University LUM Giuseppe Degennaro)

  • Claudia Spilotro

    (University LUM Giuseppe Degennaro)

  • Johanna Gast

    (MBS School of Business)

  • Vincenzo Corvello

    (University of Messina)

Abstract

In the digital transformation age, technologies that optimize decision-making processes, especially with the adoption of Artificial Intelligence (AI), significantly enhance the potential for collaboration within Innovation Ecosystems. This indicates the value of building an AI-based innovation ecosystem. Our study aims to explore how emerging trends in AI platforms and technologies shape innovation ecosystems, allowing novel forms of value creation. Employing a structured literature review, the study examines 244 relevant publications collected from the Scopus database. Findings led to the introduction of a new paradigm—the “AI innovation ecosystem.” Through it, organizations can transform their traditional operating models into more agile, innovative, and value-driven businesses. The development of a framework about AI’s impact on innovation ecosystems highlights fundamental key points for optimal decision-making processes emerging from the collaboration among several actors. To better understand how AI adoption and collaboration influence an ecosystem, the “AI-Collaboration Matrix” was also developed to propose four main categories of AI-based Innovation Ecosystems. Together, these new frameworks provide a comprehensive tool for organizations seeking to capitalize on AI’s transformative power in a collaborative and innovative context. Finally, the paper highlights AI’s promise for innovation ecosystems to create value beyond economic gains, aligning with societal benefits and environmental sustainability.

Suggested Citation

  • Giustina Secundo & Claudia Spilotro & Johanna Gast & Vincenzo Corvello, 2025. "The transformative power of artificial intelligence within innovation ecosystems: a review and a conceptual framework," Review of Managerial Science, Springer, vol. 19(9), pages 2697-2728, September.
    • Handle: RePEc:spr:rvmgts:v:19:y:2025:i:9:d:10.1007_s11846-024-00828-z
    DOI: 10.1007/s11846-024-00828-z
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    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O36 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Open Innovation

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