The goal of this paper is to investigate the complementarity of three types of additionalities: input (growth of R&D investments), behavioral (changes in the internal processes of the entity), and output (leveraging social or private returns), occurring as the result of the 7th Framework Programme and Horizon 2020 European Union funds part INFRA. The empirical contribution is based on results of self-created questionnaires conducted in 2016 with the use of CATI/CAWI on the unique sample of N = 401 users of European Union research infrastructures from 32 countries. We create a BehavioralAdditionality Index (BAI), which is a measurement tool that combines eight types (scale, scope, cognitive capacity, challenge, network, follow-up, management, and acceleration) of behavioral additionalities. Based on the results of a logistic regression, we find that there is a positive relationship between input and behavioral additionality, as well as between behavioral additionality and output additionality. This last link, however, is not shown to be strengthened by input additionality. No significant differences in the level of the BAI were found between
EU countries based on their level of innovativeness asThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.