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Development and application of the scenario-fractal ESG assessment method for enterprise decision sustainability

企業の意思決定持続可能性のためのシナリオ・フラクタルESG評価手法の開発と応用 (AI 翻訳)

O. Kniaz, P. Pererva, Ihor Franiv, Roman Rusyn-Hrynyk, Kateryna Pelekh

Technology audit and production reserves📚 査読済 / ジャーナル2026-06-19#ESGOrigin: Global経営インパクト: 資金調達対象セクター: metallurgy
DOI: 10.15587/2706-5448.2026.364678
原典: https://doi.org/10.15587/2706-5448.2026.364678
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🤖 gxceed AI 要約

日本語

本研究は、企業の経営判断の持続可能性を評価するためのシナリオ・フラクタルESG評価手法を開発した。理論と実証を組み合わせ、鉄鋼業の脱炭素化ソリューション(Interpipe、Metinvest、SSAB)に適用。SSABのソリューションが最も高い持続可能性指標を示した。

English

This study develops a scenario-fractal ESG assessment method for evaluating sustainability of enterprise decisions. Applied to decarbonization solutions of steel firms Interpipe, Metinvest, and SSAB, it found SSAB's solution had the highest sustainability index, highlighting the importance of balance, scenario stability, and consistency across management levels.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

日本の鉄鋼業界は脱炭素化の課題が大きく、本手法はSSBJや有報へのESG情報開示の質向上に貢献する可能性がある。特に、異なる管理レベルでの一貫性評価は、統合報告書の充実に有用。

In the global GX context

The method addresses global needs for robust ESG assessment under uncertainty, aligning with ISSB and TCFD frameworks. Its multi-level consistency check could inform corporate disclosure quality, especially for carbon-intensive sectors like steel, supporting transition finance evaluation.

👥 読者別の含意

🔬研究者:Provides a novel quantitative ESG method integrating scenario analysis and fractal consistency, applicable to decision-level sustainability assessment.

🏢実務担当者:Offers a structured approach to evaluate and improve the sustainability of specific management decisions, usable for ESG reporting and alternative selection.

🏛政策担当者:Demonstrates how ESG assessment can be standardized across decision levels, potentially informing disclosure mandates and transition finance criteria.

📄 Abstract(原文)

The object of research is a scenario-fractal assessment of the ecology, society, management (ESG assessment) of the sustainability of management decisions of enterprises. The problem of assessing not the general level of sustainability of the enterprise, but specific decisions was solved. Such decisions are made in conditions of military challenges, climate risks, resource instability and increasing requirements for ESG reporting. The theoretical part of the work is based on a combination of various scientific approaches. The methodological part involves the formation of a system of ESG indicators. Also used are the normalization of indicators, eclecticism of weights and a scenario ESG index. The data completeness coefficient and the fractal consistency coefficient, which show the similarity of the ESG profile of the decision at the strategic, tactical and operational levels of management, were separately taken into account. The empirical basis of the research was formed using open data of metallurgical enterprises. The decarbonization solutions of Interpipe Group, Metinvest and SSAB were analyzed. The choice of the industry was made from the standpoint of high carbon intensity of metallurgy and availability of public ESG information. The results of the method showed that the highest sustainability index is for the SSAB solution. Its advantage is related to both the environmental component and social manageability, management evidence and scenario endurance. The Interpipe solution has environmental advantages, but requires strengthening the verifiability of ESG data. The Metinvest solution is distinguished by high decarbonization ambition, but has shortcomings of a social and crisis nature. The results confirm that the sustainability of the solution must be formed through the balance of components, scenario stability and inter-level consistency. The practical use of the obtained results is appropriate in the field of corporate ESG analysis, preparation of ESG reporting and selection of management alternatives. The method is suitable for use in conditions of uncertainty.

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