Software, transformation and ESRS: systematic assessment of current research on impact potential of ESG management software for sustainable business transformation
ソフトウェア、変革および欧州サステナビリティ報告基準(ESRS):持続可能なビジネス変革のためのESG管理ソフトウェアの影響可能性に関する現在の研究の体系的評価 (AI 翻訳)
Carolin Rautenberg, D. Michelis
🤖 gxceed AI 要約
日本語
本研究は、EU企業サステナビリティ報告指令(CSRD)の枠組みのもと、ESG管理ソフトウェアが持続可能なビジネス変革に与える影響を体系的文献レビューにより評価。分散した技術群を5つの機能クラスターに整理し、10の変革影響次元を導き出した。変革測定指標の未熟さを指摘し、欧州サステナビリティ報告基準(ESRS)のKPI活用への更なる探求を促す。実証研究の必要性を強調している。
English
This systematic literature review evaluates the impact potential of ESG management software for sustainable business transformation in the context of the EU CSRD. It consolidates disparate technologies into five functionality clusters and identifies ten transformation impact dimensions. The study highlights the nascent state of transformation metrics and calls for empirical research and exploration of ESRS KPIs for measurement.
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
本論文はEUのCSRD/ESRSを対象とするが、日本でもSSBJ基準の実装が進む中、ESGソフトウェアによる開示・変革支援の枠組みは示唆に富む。ただし、日本の規制・実務との直接的な接続は弱く、参考情報としての価値に留まる。
In the global GX context
This paper directly addresses the EU regulatory push (CSRD/ESRS) for digitalized ESG reporting, offering a structured framework linking software functionalities to transformation outcomes. It adds to global discourse on how technology can bridge compliance and strategic sustainability, relevant for jurisdictions adopting similar disclosure standards (e.g., ISSB, SEC).
👥 読者別の含意
🔬研究者:Provides a consolidated taxonomy of ESG software functionalities and transformation dimensions, identifying research gaps and calling for empirical validation.
🏢実務担当者:Offers a framework for selecting and implementing ESG management software to drive sustainable transformation beyond compliance.
🏛政策担当者:Highlights the role of technology standards and KPIs (e.g., ESRS) in enabling measurable transformation, informing regulatory design.
📄 Abstract(原文)
In the field of twin transformation combining sustainability and digitalisation, the purpose of this paper is to examine the impact potential of environmental, social and governance (ESG) management software for sustainable business transformation in the context of the EU Corporate Sustainability Reporting Directive. As the regulatory context necessitates companies to adopt technology to meet the rigorous data requirements, ESG management software is highlighted as a crucial enabler, offering transformative capabilities beyond compliance. Through a systematic literature review, this study bridges a fragmented research landscape focusing on individual technologies yet jointly embodied in ESG management software and generates an overarching perspective. The authors consolidated the identified disparate technologies into five ESG management software functionality clusters and derived ten sustainable business transformation impact dimensions. Highlighting a nascent development of transformation measurement metrics, they finally call for further exploration into the applicability of European Sustainability Reporting Standards key performance indicators for transformation measurement. The reviewed articles are mostly of conceptual nature which provide limited insight into industry practice. Thus, the authors underscore the need for empirical research and call for future reports from practice. They encourage scholars to further explore ESG management software functionalities, impact dimensions and transformation measurement frameworks. For practitioners, insights into the impact potential of such technologies for sustainable business transformation are offered. It includes a framework to operate such systems overcoming limitations and implementing best practices. In the twin transformation research field, the authors provide novel insights in understanding how ESG software technology can drive sustainable business transformation framed by the regulatory requirements of the Corporate Sustainability Reporting Directive.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1108/bl-12-2025-0289first seen 2026-05-23 05:46:22 · last seen 2026-05-27 05:00:28
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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。