Yanina Goncharenko

Work place: Dragomanov Ukrainian State University/Department of Higher Mathematics, Kyiv, 01001, Ukraine

E-mail: ya.v.honcharenko@udu.edu.ua

Website: https://orcid.org/0009-0009-2541-7631

Research Interests:

Biography

Yanina Goncharenko, PhD
Date and place of birth: 1974, Kyiv, Ukraine.
Education: Dragomanov Ukrainian State University, 1996, Institute of Mathematics of NASU, 2001.
Affiliation and functions: PhD in Probability Theory and Mathematical Statistics since 2004, Professor of the Department of Higher Mathematics at Dragomanov Ukrainian State University since 2018.
Research interests: mathematical modeling, statistics, probability theory.
Publications: more than 150 papers.

Author Articles
Mathematical Model of Strategic Diagnostics of Enterprise in the Circular Economy Adaptation Process

By Oleksandr Trukhan Zarina Poberezhna Maksym Zaliskyi Yanina Goncharenko

DOI: https://doi.org/10.5815/ijieeb.2026.01.04, Pub. Date: 8 Feb. 2026

The article considers the development of strategic diagnostics of an enterprise in the condition of adaptation to a circular economy. In the context of global economic and environmental changes, strategic diagnostics is an important tool for assessing the effectiveness of the implemented changes and adapting to new challenges. The authors emphasize the importance of implementing the principles of a circular economy, which involve minimizing waste and reusing resources. It is obvious that in the process of adapting an enterprise to the conditions of a circular economy, strategic diagnostics plays an important role, which allows assessing the enterprise readiness to transition to a new economic model, determining its competitive advantages and developing effective development strategies. A set of strategic diagnostics tools with their adaptation to the conditions of a circular economy is systematized. It is substantiated that the proposed tools allow enterprises to effectively adapt to the conditions of a circular economy, reduce environmental impact, increase competitiveness, and find new opportunities for sustainable economic development. An algorithm for using strategic diagnostics of the enterprise in the context of adaptation to circular economy is developed. The presented algorithm allows enterprises to effectively adapt to the conditions of the circular economy, increase competitiveness, and ensure long-term business sustainability.

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