Modelling Innovation Paths of European Firms Using Fuzzy Balanced Scorecard  
Author Petr Hájek


Co-Author(s) Jan Stejskal; Michaela Stříteská; Viktor Prokop


Abstract Modelling innovation paths is considered a difficult task because innovation processes are complex, uncertain and highly dimensional. As traditional regression models fail to address these issues, here we propose a novel approach for the modelling. The approach integrates Balanced Scorecard, a method used for strategic performance assessment, and fuzzy set qualitative comparative analysis. In addition to key performance indicators, strategic goals are taken into consideration in the modelling. We provide empirical evidence for the effectiveness of the approach on a large dataset of European firms. We show that several innovation pathways can be identified for these firms, depending on their strategic goals. These results may be of relevance for the decision making of innovative firms and other actors of innovation system.


Keywords innovation, balanced scorecard, fuzzy sets, qualitative comparative analysis
    Article #:  DSBFI19-55
Proceedings of ISSAT International Conference on Data Science in Business, Finance and Industry
July 3-5, 2019 - Da Nang, Vietnam