Analysis of the Supply Chain Data Disclosure Gap in Fast Fashion Brands Due to Global ESG Regulations: Focusing on the Korean Fashion Transparency Index (K-FTI)
グローバルESG規制によるファストファッションブランドのサプライチェーンデータ開示ギャップの分析：韓国ファッション透明性指数（K-FTI）に焦点を当てて (AI 翻訳)
Min Sook Kim
🤖 gxceed AI 要約
日本語
本研究は、韓国のファストファッションブランドにおけるサプライチェーン開示のデータギャップをK-FTIを用いて分析する。OS IDやGOTS/GRS認証を活用し、宣言的な報告からデータ駆動型のトレーサビリティへ移行することで、グリーンウォッシングリスクに対処する実践的ロードマップを提案する。
English
This study analyzes the data gap in supply chain disclosures of South Korean fast fashion brands using the Korean Fashion Transparency Index (K-FTI). It proposes using global supply chain identifiers (OS ID) and certification databases (GOTS/GRS) to move from declarative reporting to data-driven traceability, thereby addressing greenwashing risks. The research provides a practical roadmap for brands to enhance supply chain transparency.
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
韓国ファッション業界向けの研究だが、日本でもSSBJ対応やサプライチェーンScope 3開示が進む中、OS IDなどの国際標準識別子を活用したデータ検証手法は参考になる。特にグリーンウォッシング対策として、宣言的開示からトレーサビリティへの移行は日本のアパレル企業にも示唆を与える。
In the global GX context
While focused on South Korea, this study introduces a methodology that combines global supply chain identifiers and certification databases to enhance ESG disclosure authenticity. This is highly relevant to global efforts under ISSB and CSRD to move beyond self-declaratory reporting, and offers a practical framework for multi-tier supply chain transparency in the fashion industry.
👥 読者別の含意
🔬研究者:This paper presents a method for empirically assessing supply chain disclosure gaps using OS ID and certification databases, offering a replicable framework for future research on greenwashing detection.
🏢実務担当者:Corporate sustainability teams can use the proposed roadmap to integrate traceability tools and certification data into their ESG reporting processes, reducing greenwashing risk.
🏛政策担当者:Regulators can leverage the K-FTI approach as a model for establishing data-driven transparency standards in fashion supply chains.
📄 Abstract（原文）
Purpose – This research aims to analyze the data gap (Data Gap) in the South Korean fashion industry by constructing a reputation status comparison table. Furthermore, it overcomes the methodological limitations of prior studies that relied on declarative disclosures, thereby addressing corporate greenwashing. Design/Methodology/Approach – This study evaluates disclosure authenticity by introducing interconnectivity with global supply chain identification frameworks (OS ID) and internationally recognized certification databases (GOTS/GRS) as core metrics. Additionally, it proposes a practical supply chain data management roadmap for domestic brands, reflecting the recent restructuring trends in fashion business models Findings – By transitioning from declaratory reporting to data-driven traceability using OS ID and GOTS/GRS certifications, companies can bridge data gaps across multi-tier supply chains. This validation process provides a highly effective mechanism to substantiate sustainable claims and proactively mitigate greenwashing risks in the market. Research Implications – The integration of standardized identifiers and verified certification databases establishes a robust benchmark for supply chain transparency. For policymakers and industry associations, this research serves as a foundational guide for establishing rigorous ESG compliance guidelines. For corporate executives, the findings offer a strategic roadmap to overhaul existing business models. Ultimately, these practical methodologies empower investors and consumers to make informed, data-backed decisions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.16980/jitc.22.3.202606.605first seen 2026-07-26 05:35:32
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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。