Simpeh, E K and Smallwood, J J (2020) An integrated model for predicting the probability of adoption of green building in South Africa. Journal of Engineering, Design and Technology, 18(6), pp. 1927-1950. ISSN 1726-0531
Abstract
Purpose: The purpose of this paper is to examine the predictable effect of economic and non-economic factors regarded as the most important to stimulate stakeholders’ behavioural intentions to adopt green building. Design/methodology/approach: The primary data was collected from 106 green building accredited professionals in both the public and private sectors registered with the Green Building Council of South Africa. The data analysis techniques adopted include descriptive and inferential statistics, namely, factor analysis and logistic regression model (LRM). Findings: The LRM results revealed five predictors and two control variables made a unique statistically significant contribution to the model. The strongest predictor to enhance the intention to adopt green building was a financial benefit (FB), recording an odds ratio of 9.1, which indicates that the likelihood to adopt is approximately 9.1 times more if FBs is evident. Practical implications: It is anticipated that the most significant facilitators/enablers identified by built environment stakeholders will create an enabling environment to enhance the adoption of green building. Originality/value: This research has contributed to the existing knowledge by developing a decision support model. The decision support model provides predictive indicators for clients, consultants and contractors to harness their resources and identify significant parameters to improve their decision-making in adopting green building.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | attribute of adopters; benefits; economic enablers; green building; social influence; South Africa |
| Index terms: | facilitator, private sector, logistic regression, integrated model, statistics, economic factor, factor analysis, built environment, decision support, data analysis, South Africa, green building, decision-making, methodology |
| Subjects: | decision analysis, industry analysis, infrastructure and transport systems, statistical analysis, design practice, research methods, Geography, economic concepts, data analysis and analytics, analytical methods, mathematical modelling, practitioner |
| Topics: | Business Strategy, Geographical Context, Research Practice, Information Management, Roles and Professions, Risk Management, Design Practice, Urban Studies |
| Descriptive scope: | 4 PCTA |
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