オーストラリア建設業における炭素取引の組織要因のモデリング：ファジィ論理に基づく評価手法
Modelling organisational factors in carbon trading for the Australian construction industry: a fuzzy logic-based evaluation technique (原題)
Augustine Senanu Komla Kukah, Xiaohua Jin, Robert Osei-Kyei, Srinath Perera
🤖 gxceed AI 要約
日本語
本研究はオーストラリア建設業における炭素取引の組織要因を探求し、ファジィ論理評価手法を用いて総合的な組織要因指数を開発する。文献レビューと専門家調査により18の要因を特定し、成分分析で4つのグループに分類した。結果、組織要因の影響は有意であり、ファジィ論理が炭素取引評価に有用であることを示した。
English
This study explores organisational factors in carbon trading for the Australian construction industry and develops an overall organisational factor index using fuzzy logic. Eighteen factors were identified and grouped into four components. Findings indicate a high overall organisational factor level, demonstrating the utility of fuzzy logic in carbon trading assessment and contributing to the construction industry's climate change response.
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、建設業の脱炭素化が進む中、炭素取引の組織的要因の評価は、今後のカーボンプライシング導入やサプライチェーン排出量削減に示唆を与える。ただし、オーストラリア特有の文脈であり、日本への適用には調整が必要。
In the global GX context
This paper contributes to global carbon trading literature by applying fuzzy logic to assess organisational factors in the construction sector, a sector often overlooked in carbon pricing studies. It offers a methodological template for evaluating non-technical barriers to carbon trading, relevant for countries designing carbon pricing mechanisms.
👥 読者別の含意
🔬研究者:Provides a fuzzy logic-based evaluation framework for organisational factors in carbon trading, applicable to other sectors and regions.
🏢実務担当者:Highlights key organisational factors (incentives, transaction costs, quotas, innovation) that construction firms should manage to engage effectively in carbon trading.
🏛政策担当者:Suggests that policy design should address organisational barriers to enhance construction industry participation in carbon markets.
📄 Abstract（原文）
Purpose This study aims to explore the organisational factors in carbon trading for the Australian construction industry and develop overall organisational factor index level using fuzzy-logic evaluation technique. Design/methodology/approach Detailed review of past literature led to identification of 18 factor list that was ranked by industry experts in Australia through a survey. Purposive sampling technique was adopted. Findings The factors were grouped using component analysis and they were the input variables for the fuzzy logic-based analysis. The four components were: Incentives and technology factors (ITFs), Transaction costs and project complexity factors (TCPC), Carbon quota and standardisation factors (CQS) and Technological innovation factors (TIF). The findings of this study indicated that overall organisational factor level is high implying the influence of organisational factors in carbon trading in construction is significant. Originality/value This study demonstrates how fuzzy logic methodology is useful as an evaluation technique in carbon trading assessment. Furthermore, the findings contribute towards the construction industry’s fight against climate change menace.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1108/jedt-06-2025-0322first seen 2026-08-19 04:37:42
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