{"title":"A technical support model for the construction of zero-carbon buildings","authors":"Mazen M. Omer , Asrul Nasid Masrom , Tirivavi Moyo , Nadiyah Alhabib Adhbeea , Innocent Chigozie Osuizugbo","doi":"10.1016/j.clwas.2025.100312","DOIUrl":null,"url":null,"abstract":"<div><div>This study aims to develop a technical support model for the construction of zero-carbon buildings (ZCB). Accordingly, the study’s objectives are to identify the components of the technical support model, analyze the causal relationships among the model components, and explore the impact of these components on the construction of ZCBs. The study identified 17 technological barriers to constructing ZCBs based on previous research, which were then used to create an online survey for distribution to construction professionals. A total of 272 valid responses were collected using non-probability and snowball sampling techniques. The collected data was analyzed using exploratory factor analysis, partial least squares structural equation modeling, and fuzzy set qualitative comparative analysis. The exploratory factor analysis extracted 4 valid components: 1) inadequate technical support, 2) insufficient knowledge and infrastructure, 3) poor resources and immaturity, and 4) inadequate research and practical effort. After that, partial least squares structural equation modeling indicated that inadequate technical support has the strongest causal relationship compared to the other components. Meanwhile, the valid components revealed 4 configurations, offering a deeper understanding of the technical support model for ZCB construction. The present study provides a technical support model that can enhance understanding of the technological barriers to constructing ZCBs. This model allows practitioners to have a more comprehensive perspective, particularly to enable decision-makers to develop new strategies for future projects and offers academics a new resource to promote the construction of ZCBs worldwide.</div></div>","PeriodicalId":100256,"journal":{"name":"Cleaner Waste Systems","volume":"11 ","pages":"Article 100312"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cleaner Waste Systems","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772912525001101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This study aims to develop a technical support model for the construction of zero-carbon buildings (ZCB). Accordingly, the study’s objectives are to identify the components of the technical support model, analyze the causal relationships among the model components, and explore the impact of these components on the construction of ZCBs. The study identified 17 technological barriers to constructing ZCBs based on previous research, which were then used to create an online survey for distribution to construction professionals. A total of 272 valid responses were collected using non-probability and snowball sampling techniques. The collected data was analyzed using exploratory factor analysis, partial least squares structural equation modeling, and fuzzy set qualitative comparative analysis. The exploratory factor analysis extracted 4 valid components: 1) inadequate technical support, 2) insufficient knowledge and infrastructure, 3) poor resources and immaturity, and 4) inadequate research and practical effort. After that, partial least squares structural equation modeling indicated that inadequate technical support has the strongest causal relationship compared to the other components. Meanwhile, the valid components revealed 4 configurations, offering a deeper understanding of the technical support model for ZCB construction. The present study provides a technical support model that can enhance understanding of the technological barriers to constructing ZCBs. This model allows practitioners to have a more comprehensive perspective, particularly to enable decision-makers to develop new strategies for future projects and offers academics a new resource to promote the construction of ZCBs worldwide.