The IIT consortium consists of five partners in five different EU member states. Each consortium partner has a specific responsibility and together, the partners have the insight and networks to cover 11 EU member states in the study.
Aalto University (Finland)is the coordinator of the project and responsible for conceptualizing the extensive field work to be conducted among small, medium sized and large companies in eleven member states. Aalto University has a good track record in following and initiating new innovation management practices in both the public and private sector and this experience will be utilized in the high level dissemination of lessons learned.
The University of Manchester (UK)is responsible for leading the rigorous data analysis and drawing bottom-up policy recommendations rising from the study of the extensive and rich interview reports. The University of Manchester is also responsible for leading the methodological aspects of data analysis
Zabala Innovation Consulting (Spain) is responsible for the activities targeting companies and for providing insights into the analysis regarding innovation policy recommendations for countries more severely hit by the economic crisis.
Joanneum Research Center (Austria) is responsible for a forward looking national and European level innovation policy analysis and a series of high level policy expert workshops aiming at recommending with regard to future development paths for individual member states as well as Europe as an entity.
The University of Twente (The Netherlands) is responsible for cross-industry comparisons and the analysis of the rich and extensive interview reports with novel categorizations giving novel insights into innovation practices among different types of companies. The University of Twente will also be responsible for leading the industry specific recommendations of innovation policies and innovation support.
The Advisory Group members and the dissemination partners (e.g. ERT and OECD) complement the consortium in a way that elevates the expected impact to a very high level.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 649351