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Opportunities for digital tracking technologies in the precast concrete sector in Sweden

スウェーデンのプレキャストコンクリート部門におけるデジタル追跡技術の機会 (AI 翻訳)

Maryam Olaoti Shehu, Roma Almeida, Krushna Mahapatra

Frontiers in Built Environment📚 査読済 / ジャーナル2025-04-24#エネルギー転換Origin: EU経営インパクト: コスト削減対象セクター: construction
DOI: 10.3389/fbuil.2025.1566784
原典: https://doi.org/10.3389/fbuil.2025.1566784
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🤖 gxceed AI 要約

日本語

本研究は、スウェーデンのプレキャストコンクリート産業におけるデジタル追跡技術(DTT)の採用要因を、混合手法(計量書誌分析、ソーシャルメディア感情分析、ステークホルダーインタビュー)で調査。PESTLE・SWOT分析とMLPフレームワークを用い、高コストやインフラ不足などの障壁と、効率向上や循環経済適合などの機会を特定。RFIDやQRコード、デジタル製品パスポートがトレーサビリティ向上に寄与すると示唆。

English

This study examines factors influencing adoption of digital tracking technologies (DTT) in Sweden's precast concrete sector using mixed methods (bibliometrics, sentiment analysis, interviews). It identifies barriers like high costs and infrastructure gaps, and opportunities such as efficiency gains and circular economy alignment. RFID, QR codes, and digital product passports can enhance traceability. Policy interventions and collaboration are needed.

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

日本の建設業界では、カーボンニュートラルと循環経済への移行が急務であり、デジタル技術によるトレーサビリティ向上は、建設資材のCO2排出削減や資源効率向上に寄与する可能性がある。本研究の知見は、日本の建設分野におけるDXとGXの統合を検討する際の参考となる。

In the global GX context

Globally, the construction sector faces pressure to decarbonize and adopt circular practices. This study provides insights into digital tracking technologies that can enhance material traceability, supporting circular economy goals. It highlights systemic barriers and opportunities, offering lessons for policy and industry collaboration in other countries.

👥 読者別の含意

🔬研究者:Provides a framework for analyzing digital technology adoption in construction with a sociotechnical lens.

🏢実務担当者:Identifies actionable opportunities for implementing DTT in precast concrete operations.

🏛政策担当者:Highlights the need for cohesive policies and incentives to support digitalization and circularity in construction.

📄 Abstract(原文)

The construction sector is a major consumer of natural resources and a significant contributor to environmental degradation through resource depletion, waste generation, and greenhouse gas emissions. As the industry shifts toward sustainable and circular practices, improving material traceability and resource efficiency becomes crucial. Digital Tracking Technologies (DTT) offer a promising solution, yet their adoption in the precast concrete sector remains limited, necessitating an in-depth examination of influencing factors. This study explores DTT adoption in Sweden’s precast concrete industry, addressing a critical gap in understanding how digital technologies support Circular Economy (CE) objectives. By identifying key barriers and drivers, the research provides a holistic view of the challenges and opportunities shaping this transition. A mixed-methods approach was employed, integrating bibliometric analysis, social media sentiment analysis, and stakeholder interviews. Data analysis was conducted using VOS Viewer, Orange Data Miner, and NVivo, while findings were interpreted through a sociotechnical lens. The study utilizes PESTLE and SWOT analyses within the Multi-Level Perspective (MLP) framework to examine dynamics at the niche, regime, and landscape levels. Findings highlight systemic barriers such as high investment costs, fragmented infrastructure, limited knowledge, and cultural resistance. However, opportunities exist, including enhanced operational efficiency, improved information dissemination, CE alignment, supportive policies, and targeted incentives. Innovations like RFID tags, QR codes, and Digital Product Passports can enhance material traceability and circularity. Given regime inertia and landscape pressures, cohesive policy interventions and industry collaboration are essential. This study provides actionable insights for industry stakeholders, policymakers, and sustainability advocates to advance digital innovation and sustainable construction practices.

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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。