Reassessing National Innovation Performance through an Entropy CORASO Framework: Evidence from the European Innovation Scoreboard

Authors

DOI:

https://doi.org/10.65069/smart2120266

Keywords:

National innovation performance, European Innovation Scoreboard, Entropy, CORASO, European Union, United Kingdom

Abstract

This study proposes an alternative and objectively grounded assessment of the innovation performance of European Union countries and the United Kingdom by applying a hybrid Entropy CORASO framework to data from the European Innovation Scoreboard 2025. Unlike the official EIS approach, which assigns equal importance to all innovation dimensions, the proposed framework determines criteria weights based on data variability. The Entropy method is used to estimate the relative importance of twelve innovation dimensions, while the CORASO method is applied to generate the final country ranking. The results indicate that the criteria weights are relatively balanced, although Resource and Labour Productivity, Innovators and Attractive Research Systems exhibit the highest discriminatory power. The ranking confirms the leading positions of Sweden, Denmark and the Netherlands, while notable changes are observed among middle ranked countries, particularly Belgium, Italy, Malta and the United Kingdom. The sensitivity analysis further demonstrates that changes in the priority of individual innovation dimensions can substantially affect the final ranking, confirming the multidimensional and methodologically sensitive nature of innovation performance assessment. The findings offer a policy relevant complement to the official EIS ranking and provide a more refined basis for identifying country specific strengths, weaknesses and priorities for improving national innovation systems.

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Published

2026-06-07

How to Cite

Mastilo, A. (2026). Reassessing National Innovation Performance through an Entropy CORASO Framework: Evidence from the European Innovation Scoreboard. Smart Multi-Criteria Analytics and Reasoning Technologies, 2(1), 25-39. https://doi.org/10.65069/smart2120266