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The adoption of sustainable construction materials is critical for achieving sustainable development goals, particularly in areas like NCR where the air quality index tends to be higher. Although the adoption of sustainable materials is influenced by many factors, the present study examined the adoption intention using a structured literature review by applying an extended social cognitive theory (SCT) to understand consumer behavior and decision-making. This novelty of extending SCT enabled researcher to comprehend other influencing dimensions of consumer behavior. To achieve the aim of the research, the present study used a structured questionnaire was developed using structured literature review to collect data from respondents located in NCR. A total of 212 valid responses using convenient & purposive sampling were collected from respondents located in different regions of NCR. Data were analysed using SPSS 30 & PLS-SEM, using reflective and formative measurement models to confirm the core and extended constructs. Reliability and validity were established using Cronbach’s alpha (0.789). CR and AVE were established for each construct, followed by path analysis to evaluate the impact of each construct on the adoption intention. The results revealed that environmental knowledge (β = 0.332, p = 0.022), perceived trust & risk reduction (β = 0.233, p = 0.014), & perceived design (β = 0.321, p = 0.021) were found to be significant; hence, the hypotheses H 1 , H 4 & H 5 were found to be accepted. Whereas, self-efficacy (β = 0.247, p = 0.104), and outcome expectancy (β = 0.183, p = 0.211), had shown an insignificant effect on the adoption intention of sustainable material, and therefore H 2 and H 3 were rejected. The study is a sample specific support the extended SCT theory which offered a practical insights for policymakers and industry stakeholders. Enhancing consumer awareness, strengthening trust mechanisms and promoting design adaptability are essential components in fostering the adoption of sustainable materials in NCR.
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Sao et al. (2026) studied this question.
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