Tracks > Track 2: AI and Open Innovation

Track 2: AI and Open Innovation

This track delves into the intersection of Open Innovation (OI) and Artificial Intelligence (AI), highlighting AI's role in enhancing collaboration, optimizing knowledge flows, and improving decision-making in OI ecosystems. With AI's growing capacity to process large data volumes, it is becoming a key enabler of more efficient and innovative open systems across industries like agriculture, healthcare, and materials science. This track aims to bring together scholars, industry leaders, and policymakers to explore the following key themes:

1. AI as an Enabler of Open Innovation Ecosystems: AI-powered tools optimize knowledge sharing and co-creation processes, facilitating the functioning of OI ecosystems.

2. Managing AI-Driven Knowledge Flows in OI Ecosystems: AI helps manage vast data in OI, enhancing data management, partner selection, and value co-creation.

3. Ethical Considerations and Data Ownership in AI-Enhanced OI: With AI’s growing role in OI, ethical concerns around data privacy, intellectual property (IP), and governance need careful attention.

4. Industry Case Studies: AI-Enhanced Innovation: Explore real-world examples of industries using AI to drive innovation, overcome challenges, and co-create value.

5. The Future of AI and OI: Challenges and Opportunities: Discuss the future potential of AI-OI synergy, including emerging trends like dynamic capabilities, Industry 4.0, and value appropriation.

Keywords: Open innovation, Artifical Intelligence, Collaboration, Value Creation

Organizer: Antonio Crupi crupi.antonio@unime.it 

Co-organizers: Alessandra Costa, Fabrizio Cesaroni