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インテリジェンス：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に対し、AIを活用した監査可能なガバナンスフレームワークを提案。包装廃棄物、ラストマイル排出、返品率、アクセシビリティ、ESG開示を統合し、4層（素材循環性、運用最適化、デジタル公正性、開示保証）で構成。AIの出力が追跡可能で検証可能であることを重視し、設計原則と監査手順を示す。
English
This paper proposes an auditable governance framework for sustainable and fair e-commerce using AI. It integrates packaging waste, last-mile emissions, return rates, accessibility, and ESG disclosure into four layers: material circularity, operational optimization, digital fairness, and disclosure assurance. Emphasizing traceable and verifiable AI outputs, it offers design principles and audit procedures for practitioners.
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Eコマース市場の拡大に伴い、包装廃棄物削減や物流効率化が重要課題。SSBJや有報でのESG開示が進む中、本フレームワークは日本企業のサプライチェーン開示や統合報告に応用可能。特に監査可能性の強調は、日本独自のガバナンス文化に適合しうる。
In the global GX context
Globally, e-commerce sustainability is under scrutiny from TCFD/ISSB and CDP, especially regarding Scope 3 logistics and packaging claims. This framework bridges circular economy and ESG disclosure with AI auditability, relevant for companies complying with CSRD or SEC climate rules. It provides a structured approach to link internal operations with external reporting.
👥 読者別の含意
🔬研究者:Offers a conceptual integration of AI, circular economy, and ESG disclosure for e-commerce, providing testable hypotheses and design principles.
🏢実務担当者:Provides actionable indicators and audit procedures for e-commerce firms to align packaging, logistics, and disclosure with sustainability goals.
🏛政策担当者:Suggests standards for auditable AI governance in e-commerce, informing regulations on green claims and digital fairness.
📄 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.20936901first seen 2026-07-18 06:05:25
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
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。