Auditable Intelligence for Sustainable and Fair E-Commerce: A Governance Framework for Packaging, Circular Logistics, Accessibility, and ESG Disclosure
持続可能で公正なEコマースのための監査可能な知能：包装、循環型物流、アクセシビリティ、ESG開示のためのガバナンスフレームワーク (AI 翻訳)
Alistair Vance, Sora Tanaka, Mateo Benitez
🤖 gxceed AI 要約
日本語
本論文は、Eコマースの持続可能性課題（包装廃棄物、物流排出、返品率、アクセシビリティ、ESG開示）に対し、AIを監査可能な意思決定支援として用いる4層ガバナンスフレームワークを提案する。素材循環性、運用最適化、デジタル公正性、開示保証の各層から構成され、設計原則と監査手順を示す。AIによる持続可能性ガバナンスは、出力のトレーサビリティと独立検証が不可欠と結論付ける。
English
This paper proposes a four-layer governance framework for sustainable e-commerce, using AI as an auditable decision-support layer for packaging waste, last-mile emissions, high return rates, accessibility, and ESG disclosure. The layers cover material circularity, operational optimization, digital fairness, and disclosure assurance. It provides design principles and audit procedures, concluding that AI-enabled sustainability governance is credible only when outputs are traceable and independently verifiable.
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
日本でもEコマース市場は拡大しており、SSBJや有報でのESG開示対応が急務。本フレームワークは、物流・包装の循環性とAIを組み合わせた監査可能なガバナンスを提供し、日本企業の統合報告書やTCFD/ISSB対応に示唆を与える。
In the global GX context
Globally, the framework aligns with ISSB and CSRD disclosure requirements, addressing links between internal optimization, user experience, and external reporting. It offers an auditable approach to AI in sustainability, relevant for e-commerce firms facing regulatory pressure on packaging and circularity.
👥 読者別の含意
🔬研究者:Researchers gain a structured framework to study AI-auditability in e-commerce sustainability, with indicators and design principles for empirical testing.
🏢実務担当者:Practitioners can use the audit procedures and indicators to improve ESG disclosure credibility and operational sustainability in e-commerce.
🏛政策担当者:Policymakers can draw on the framework to develop standards for verifiable AI-assisted ESG reporting and circular economy regulations.
📄 Abstract（原文）
E-commerce has become a routine infrastructure for consumption, yet its convenience iscoupled with environmental, social, and governance challenges that are difficult to evaluatewith traditional sustainability tools. Packaging waste, last-mile emissions, high return rates,uneven accessibility, and vague sustainability claims interact across software systems, fulfillmentnetworks, and public reporting. This article develops an integrated governance frameworkfor sustainable and fair e-commerce that treats artificial intelligence not as a substitute foraccountability but as an auditable layer of decision support. Building on recent studies ofhybrid intelligence for packaging claims, digital accessibility metrics, cluster-based warehousing,and generative AI for circular logistics, the paper synthesizes literature on circular economy,reverse logistics, green supply chains, algorithmic fairness, accessibility standards, and ESGreporting. The central contribution is a four-layer framework: material circularity, operationaloptimization, digital fairness, and disclosure assurance. The article argues that sustainablee-commerce requires measurable connections between what firms optimize internally, what usersexperience on platforms, and what firms disclose externally. It proposes design principles,indicators, and audit procedures for researchers and practitioners. The paper concludes thatAI-enabled sustainability governance is credible only when its outputs are traceable, contestable,and anchored in independently verifiable evidence.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.20936900first seen 2026-07-18 06:05:10
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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。