Modelling organisational factors in carbon trading for the Australian construction industry: a fuzzy logic-based evaluation technique

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.

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Publication Details

Journal
Journal of Engineering Design and Technology
Published
2026-08-17
DOI
https://doi.org/10.1108/jedt-06-2025-0322
Primary Topic
Sustainable Building Design and Assessment
Type
article
Field-Weighted Citation Impact
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article

Modelling organisational factors in carbon trading for the Australian construction industry: a fuzzy logic-based evaluation technique

Xiaohua Jin, Augustine Senanu Komla Kukah, Srinath Perera, Robert Osei-Kyei
Journal of Engineering Design and Technology
Sustainable Building Design and Assessment
article

Modelling organisational factors in carbon trading for the Australian construction industry: a fuzzy logic-based evaluation technique

Xiaohua Jin, Augustine Senanu Komla Kukah, Srinath Perera, Robert Osei-Kyei
article en

Abstract

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.

Journal of Engineering Design and Technology
Western Sydney University (AU)
Openalex Percentile: Top 13%
Sustainable Building Design and Assessment
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Modelling organisational factors in carbon trading for the Australian construction industry: a fuzzy logic-based evaluation technique — Xiaohua Jin, Augustine Senanu Komla Kukah, et al. · Journal of Engineering Design and Technology (2026) | TGRS Research Map | TGRS