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The Use of Fuzzy Logic in Corporate Innovative Potential Assessment

Author

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  • Nawrocki Tomasz L.

    (Silesian University of Technology, Zabrze, Poland)

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.

Suggested Citation

  • Nawrocki Tomasz L., 2019. "The Use of Fuzzy Logic in Corporate Innovative Potential Assessment," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 23(1), pages 29-44, March.
    • Handle: 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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    References listed on IDEAS

    as
    1. Robert E. Morgan & Pierre Berthon, 2008. "Market Orientation, Generative Learning, Innovation Strategy and Business Performance Inter‐Relationships in Bioscience Firms," Journal of Management Studies, Wiley Blackwell, vol. 45(8), pages 1329-1353, December.
    2. Mariana Mazzucato, 2006. "Innovation and Stock Prices: a Review of some Recent Work," Revue de l'OFCE, Presses de Sciences-Po, vol. 97(5), pages 159-179.
    3. Simpson, Penny M. & Siguaw, Judy A. & Enz, Cathy A., 2006. "Innovation orientation outcomes: The good and the bad," Journal of Business Research, Elsevier, vol. 59(10-11), pages 1133-1141, October.
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    More about this item

    Keywords

    corporate innovative potential; innovativeness assessment; fuzzy logic; Mamdani fuzzy model;
    All these keywords.

    JEL classification:

    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other
    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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