Modelling Innovation Paths of European Firms Using Fuzzy Balanced Scorecard

Petr Hájek (), Jan Stejskal (), Michaela Kotková Stříteská () and Viktor Prokop ()
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Petr Hájek: University of Pardubice
Jan Stejskal: University of Pardubice
Michaela Kotková Stříteská: University of Pardubice
Viktor Prokop: University of Pardubice

A chapter in Reliability and Statistical Computing, 2020, pp 35-46 from Springer

Abstract: Abstract Because innovation processes are complex, uncertain and highly dimensional, modelling innovation paths is a very challenging task. 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 measurement, 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; Performance measurement; Balanced scorecard; Fuzzy sets; Qualitative comparative analysis (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-030-43412-0_3

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DOI: 10.1007/978-3-030-43412-0_3

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