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Improving the Readiness of Enterprises to Develop Sustainable Innovation Strategies through Fuzzy Logic Models

Author

Listed:
  • Viacheslav Makedon
  • Valentin Myachin
  • Tetiana Aloshyna
  • Iryna Cherniavska
  • Nataliia Karavan

Abstract

The article is aimed at enhancing the strategic readiness of enterprises to adopt sustainable innovation strategies by implementing fuzzy logic-based expert systems. These systems focus on evaluating an enterprise's preparedness for innovation by using a structured assessment framework. The study seeks to establish a comprehensive indicator for gauging the readiness of innovation-active enterprises, integrating financial health indicators and strategic opportunity utilization. Methodologically, the study applies fuzzy logic inference, utilizing the Mamdani approach for defuzzification to measure the “degree of readiness to implement an innovation strategy.” Two key variables – “level of crisis state of enterprise” and “use of strategic opportunities” – are derived from financial assessments and strategic analysis tools like SWOT and the ADL/LC model. A key finding of the study is the formulation of a readiness index that can assist enterprises in identifying their current capabilities and readiness level for sustainable innovation adoption. The fuzzy expert system provides a structured approach to support management decision-making, offering a strategic tool that aligns with the need for innovation in modern enterprises. Ultimately, the study underscores the importance of preparing enterprises to navigate the complex demands of innovation by fostering a systematic, adaptable approach that supports strategic development and sustainable growth in dynamic markets.

Suggested Citation

  • Viacheslav Makedon & Valentin Myachin & Tetiana Aloshyna & Iryna Cherniavska & Nataliia Karavan, 2025. "Improving the Readiness of Enterprises to Develop Sustainable Innovation Strategies through Fuzzy Logic Models," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 165-179.
    • Handle: RePEc:bas:econst:y:2025:i:5:p:165-179
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    File URL: http://archive.econ-studies.iki.bas.bg/2025/2025_05/2025_05_09.pdf
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    References listed on IDEAS

    as
    1. Mehdi Keshavarz-Ghorabaee & Maghsoud Amiri & Mohammad Hashemi-Tabatabaei & Edmundas Kazimieras Zavadskas & Arturas Kaklauskas, 2020. "A New Decision-Making Approach Based on Fermatean Fuzzy Sets and WASPAS for Green Construction Supplier Evaluation," Mathematics, MDPI, vol. 8(12), pages 1-24, December.
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    More about this item

    JEL classification:

    • F65 - International Economics - - Economic Impacts of Globalization - - - Finance
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship

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