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持続可能なブルーエコノミーにおける社会的・環境的説明責任のためのガバナンス基盤としてのスマートポート

Smart ports as governance infrastructures for social and environmental accountability in the sustainable blue economy (原題)

K. Logožar

Discover Sustainability📚 査読済 / ジャーナル2026-08-17#AI×ESG対象セクター: transport
DOI: 10.1007/s43621-026-04358-4
原典: https://doi.org/10.1007/s43621-026-04358-4
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🤖 gxceed AI 要約

日本語

本論文は、スマートポートが物流デジタル基盤であるだけでなく、海洋フローを可視化・測定・追跡・説明可能にするガバナンス基盤として機能することを示すVAFフレームワークを提案する。AI、デジタルツイン、ブロックチェーン等の技術が持続可能なブルーエコノミー目標を支援する一方、適切なガバナンスがなければ環境・社会的外部性への説明責任が弱まることを論じる。

English

This paper proposes the VAF framework, arguing that smart ports can serve as governance infrastructures that make maritime flows visible and accountable. It integrates digital technologies like AI, digital twins, and blockchain with governance mechanisms to support sustainable blue economy goals, while cautioning that without proper governance, digitalization may reinforce throughput optimization and weak accountability.

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

日本は港湾のデジタル化(例:CONPAS、港湾DX)を推進しており、本フレームワークは港湾運営の持続可能性と説明責任を統合する視点を提供する。SSBJ開示やサプライチェーン排出量算定において、港湾データの可視化はスコープ3算定の基盤となり得る。

In the global GX context

Globally, this framework aligns with ISSB and CSRD trends requiring enhanced environmental accountability in supply chains. It offers a conceptual basis for integrating digital observability with sustainability reporting, relevant for maritime regulators and port authorities under growing pressure to decarbonize.

👥 読者別の含意

🔬研究者:Provides an integrative framework linking port digitalization to socio-environmental accountability, offering propositions for empirical testing.

🏢実務担当者:Port authorities and maritime supply chain actors can use VAF to design governance mechanisms that ensure digital systems enhance sustainability rather than undermine it.

🏛政策担当者:Highlights the need for governance arrangements to prevent digitalization from exacerbating environmental and social externalities in ports.

📄 Abstract(原文)

Digital transformation is increasingly reshaping maritime transport and port systems, yet its implications for sustainable blue economy governance remain insufficiently theorised. This paper develops the Visibility to Accountability Framework for Smart Port Governance (VAF), an integrative conceptual framework that explains how smart ports can function not only as digital logistics infrastructures but also as governance infrastructures that make maritime flows visible, measurable, traceable, and accountable. Using theory synthesis and framework development, the paper integrates research on smart ports and port digitalisation; socio-technical systems; port governance; collaborative and network governance; environmental and ocean governance; data governance; and socio-environmental accountability. It argues that technologies such as port community systems, digital twins, artificial intelligence, blockchain-enabled traceability, sensor networks, and emissions-monitoring platforms can support sustainable blue economy objectives by improving visibility, reducing information asymmetries, enabling environmental monitoring, and strengthening coordination among port actors. However, digitalisation does not automatically produce sustainability benefits. Without appropriate governance arrangements, digital port systems may reinforce throughput-oriented optimisation, data concentration, exclusion of smaller actors, cyber vulnerability, and weak accountability for environmental and social externalities. The VAF specifies how digital observability can be converted into socio-environmental accountability through coordination, translation, verification, and responsibility mechanisms. The contribution is an integrative framework linking digital technologies, governance mechanisms, failure pathways, and sustainable blue economy outcomes, offering propositions for future empirical research and implications for port authorities, policymakers, and maritime supply chain actors.

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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。