持続可能な建設資材の障壁と報告された採用：新興建設経済における構造モデル

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:障壁の知覚と採用行動は別の経験的問いであることを示し、SEMによる採用行動研究の設計示唆を与える。

🏢実務担当者:建設資材の持続可能調達において、規制・性能不確実性への対応が採用を促す可能性を示唆する。

🏛政策担当者:新興国建設セクターでは、コスト補助よりも規制の明確化と性能情報整備が採用促進に有効かもしれない。

Purpose This study extends prior empirical work on the multidimensional barriers to sustainable construction material (SCM) adoption by examining whether the established barrier domains are statistically associated with variation in self-reported implementation behavior. Therefore, it shifts the analytical focus from barrier identification and aggregate adoption readiness to the structural relationships between established barrier constructs and reported SCM implementation in Nigeria's architecture, engineering and construction (AEC) sector. Design/methodology/approach This study employs partial least squares structural equation modeling (PLS-SEM) to examine associations between the established barrier constructs and self-reported SCM adoption. The analysis uses survey responses from AEC professionals in Nigeria. The previously established barrier structure served as the measurement foundation for the PLS-SEM model and was assessed for indicator reliability, internal consistency, convergent validity, and discriminant validity. The structural model then estimated the associations between the barrier constructs and self-reported SCM adoption, with professional experience included as an additional single-factor variable. Findings Regulatory complexity and performance uncertainty was the only barrier construct significantly associated with self-reported SCM adoption (β = 0.208, p = 0.018), although the effect size was small (f2 = 0.022). Cost burden and supply constraints showed essentially no association with adoption (β = 0.000, p = 0.999), while institutional fragmentation and incentive deficiency, as well as policy weakness and market apathy, were also non-significant. Professional experience was positively associated with adoption (β = 0.133, p = 0.034). The model explained 7.8% of the variance in self-reported SCM adoption (R2 = 0.078; adjusted R2 = 0.057). Because the design is cross-sectional, these associations are correlational and may partly reflect greater regulatory engagement among adopters. Originality/value This study extends prior barrier identification and readiness assessment research by shifting the analytical focus from the structure and aggregate severity of SCM barriers to their associations with reported implementation behavior. It demonstrates that barrier salience and structural association with adoption represent distinct empirical questions. Barrier domains perceived as severe at the sectoral level do not necessarily explain variation in reported SCM implementation when considered simultaneously. This distinction provides a more discriminating basis for identifying institutional intervention priorities.

• openalex https://doi.org/10.1108/sasbe-01-2026-0032first seen 2026-09-17 04:59:51