Innovation Management

Research Institute for Innovation Management

Economics and management of innovation and entrepreneurship

Managing innovation and its impacts has never been so critical. The extraordinary potential offered by digital technologies and artificial intelligence carries the risks of widening the socio-economic gaps. Companies and organisations are reshaping their business models in the light of new technologies, overlooking the impact on the organisation and the relationships with their internal and external stakeholders. Technological and organisational innovation should aim at improving the living conditions and protecting the natural environment,  while understanding and neutralising the possible negative impacts due to unmanaged innovation. The successful integration of innovation into companies, organisations and society requires basic and applied multidisciplinary research combining techno-economic expertise and human sciences guided by innovative vision.


Global value chains, Legal issues, Multi-actor approach and interactive innovation, Open innovation, Resilient economy, Systemic innovation, User-driven innovation Digital technologies, Internet of things, Social Development, Organisational Innovation, Business model innovation, Business analytics and strategy, Sustainable innovation

High-impact and award-winning projects

Cross-sectoral cooperation in culture and creative industry

The Culture and Creative Industry (CCI) sector lacks a transnational and cross-sectoral shared vision on what could be its contribution to economic and social growth in central Europe, along with a cooperation system to foster innovation processes. COCO4CCI project (Culture and Creative Industries Cooperation Collider) will build capacities for cross-sectoral cooperation in advanced manufacturing (AVM), by mapping CCI potentials aimed to create a transnational CCI collider network. A training programme will accompany facilitators in technology development, future trends setting and a mind-set definition in advanced manufacturing.

Researcher: Giovanni Vaia
Duration: 01/04/2019 - 31/03/2022