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

In the digital transformation age, technologies that optimize decision-making pro- cesses, especially with the adoption of Artificial Intelligence (AI), significantly en- hance 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 ecosys- tems, 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 innova- tion 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 collabora- tion among several actors. To better understand how AI adoption and collaboration influence an ecosystem, the “AI-Collaboration Matrix” was also developed to pro- pose 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.