The Use of Fuzzy Logic in Corporate Innovative Potential Assessment

Nawrocki Tomasz L. ()
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Nawrocki Tomasz L.: Silesian University of Technology, Zabrze, Poland

Econometrics. Advances in Applied Data Analysis, 2019, vol. 23, issue 1, 29-44

Abstract: The paper aims to present an empirical application of an originally developed model for corporate potential innovativeness assessment and comparison. The proposed model provides a framework for combined static and dynamic potential innovativeness assessment with the use of fuzzy logic. Fuzzy logic is used to assess corporate potential innovativeness from two perspectives: resources conditioning innovation activities in an enterprise, and the engagement of an enterprise in their continuous development. In this context, selected companies from the information technology sector listed on the Warsaw Stock Exchange were examined. The need for corporate innovativeness measurement and evaluation for management purposes arises from its growing importance in building enterprise value and achieving long-term competitive advantage. The proposed model enables the fairly current and good orientation in both general and a more in-depth innovativeness potential level of the assessed enterprises. This can be the basis for various comparison analysis and managerial decisions regarding e.g. innovation management as well as managing corporate image and reputation.

Keywords: corporate innovative potential; innovativeness assessment; fuzzy logic; Mamdani fuzzy model (search for similar items in EconPapers)
JEL-codes: C69 M10 O32 Q55 (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:eaiada:v:23:y:2019:i:1:p:29-44:n:3

DOI: 10.15611/eada.2019.1.03

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