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Transformation of accounting for payments with buyers and customers in non-financial statements

非財務諸表における買い手および顧客との決済の会計の変革 (AI 翻訳)

A. Uzhva, Oleksandr Biloivanenko

Ukrainian Journal of Applied Economics and Technology📚 査読済 / ジャーナル2026-05-31#ESGOrigin: Global
DOI: 10.36887/2415-8453-2026-2-35
原典: https://doi.org/10.36887/2415-8453-2026-2-35

🤖 gxceed AI 要約

日本語

本論文は、持続可能な開発の文脈において、買い手・顧客との決済に関する会計・分析支援にESG要素を統合する方法論を提案する。伝統的な会計手法を非財務情報の開示要件に対応させるため、予測モデルや統合的分析ツールの活用を提唱している。

English

This paper proposes a methodology for integrating ESG components into the accounting and analytical support for settlements with buyers and customers in the context of sustainable development. It argues for transforming traditional accounting approaches to incorporate non-financial factors and predictive models for better management decisions.

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

日本ではSSBJや有価証券報告書での非財務情報開示が進む中、本論文は会計処理へのESG統合の理論的基礎を提供する。ただし、具体的な実務指針はなく、日本の制度との直接的な関連は薄い。

In the global GX context

Globally, as frameworks like ISSB and CSRD emphasize non-financial disclosure, this paper contributes a theoretical accounting perspective on integrating ESG into settlement processes. It lacks empirical application but aligns with the trend toward integrated reporting.

👥 読者別の含意

🔬研究者:会計学・ESG統合の理論研究に興味のある研究者に、会計と非財務情報の融合に関する枠組みを提供する。

🏢実務担当者:実務への直接的な示唆は限定的だが、ESG情報を会計システムに組み込む概念的な方向性を理解するのに役立つ。

📄 Abstract(原文)

Modern transformations of the accounting and analytical paradigm, driven by globalization, digitalization of the economy, and the implementation of the concept of sustainable development, have led to a rethinking of the role of information support for managing settlements with buyers and customers. The evolution of approaches to corporate reporting and increased requirements for the disclosure of non-financial information actualize the need to integrate ESG components into the accounting and analytical support system. At the same time, this transforms approaches to assessing settlement quality, shifting the emphasis from retrospective analysis of financial indicators to the development of predictive models that account for a complex set of environmental, social, and managerial determinants, thereby increasing the analytical depth and predictive value of management decisions. The purpose of the article is to substantiate and develop a methodology for an integrated accounting and analytical approach to assessing the quality of settlements with buyers and customers based on a combination of financial and non-financial indicators in the context of sustainable development. In the research process, methods of comparison, analysis, theoretical and logical generalization were applied. The methodological basis was the dialectical research method. The article explores the theoretical and methodological principles of accounting and analytical support for settlements with buyers and customers in the context of sustainable development. The need to transform traditional approaches to accounting and settlement analysis is justified by the growing role of non-financial factors in shaping enterprises’ financial results. The impact of non-financial reporting on the content of accounting information is examined, and the prerequisites for integrating ESG components into the system for assessing settlement quality are identified. An integrated approach to developing a system of analytical indicators that combines financial and non-financial indicators is proposed. It is proposed to improve methodological approaches to the accounting reflection of settlements by expanding analytical accounting and incorporating ESG characteristics of counterparties. The feasibility of using integrated analytical tools to assess risks and make management decisions is demonstrated. Keywords: settlements with buyers and customers, accounting and analytical support, ESG indicators, integral index, sustainable development, financial and analytical models, risk management.

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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。