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For long time the measurement of innovation has been in the forefront ofpolicy makers' and researchers' agenda worldwide. Therefore, there is anongoing debate about which indicators should be used to measure innovation.Recent approaches have favoured the use of composite innovation indicators.However, there is no consensus about the appropriate methodology to aggregatethe varying dimensions of innovation into a single summary indicator. One ofthe best known examples of composite innovation indicators is the EuropeanInnovation Scoreboard (EIS). It is a relevant tool for benchmarking innovationin Europe. Still, the EIS lacks a proper scheme for weighting the includedindicators according to their relative importance. In this context, we proposean appraisal methodology permitting to take into consideration the interactionof criteria and robustness concerns related to the elicitation of the weightsassigned to the elementary indicators. With this aim, we apply thehierarchical-SMAA-Choquet integral approach. This integrated multicriteriadecision making (MCDM) method helps the users to rank and benchmark countries'innovation performance taking into account the importance and interaction ofcriteria assigned by themselves, rather than equal weights or weightsexogenously fixed by external experts.

Robust measurement of innovation performances in Europe with a hierarchy of interacting composite indicators