Abstract
PurposeRisks are considered a significant obstacle to Green Building (GB) development and have recently received significant attention from both construction practitioners and academics. This study aimed to identify critical GB risks and explore the relationship between participants' characteristics and risk assessment.Design/methodology/approachFirstly, a list of GB risks was developed based on a comprehensive literature review and interviewing GB experts. After that, a survey of 207 construction professionals was then conducted to validate these GB risk factors. Finally, this research adopted the ANOVA test and hierarchical regression analysis to examine the relationship between participants' characteristics and risk assessment.FindingsThe results provided a list of GB risks classified and evaluated according to the GB project life cycle and, thus, may serve as a helpful reference for GB practitioners. Notably, the ANOVA analysis revealed that risk assessment negatively correlates with participants' GB experience, while their industry experience does not affect risk assessment. Furthermore, the hierarchical regression analysis proved that participant roles do not moderate the association between risk assessment and GB experience.Originality/valueThis study contributed to GB literature by implementing empirical research on GB risks in a developing country. The results implied the essential role of professionals with rich GB experience in risk management in GB projects. Furthermore, this research could help construction practitioners understand GB risks adequately and thereby have better risk-management strategies for future GB projects.
Highlights
The construction industry plays an essential role in the development of any country
Research methods The research methodology in this study comprisedthe following steps: (1) Identify the risk factors in Green Buildings (GB) projects based on review literature and interview experts; (2) Design the questionnaire survey to investigate the influence of risk factors in GB projects; (3) Collect data from experienced practitioners; (4) Implement descriptive analysis to explore the collected data; (5) Conduct hypotheses test; (6) Discuss research findings
4.1 The assessment of GB risk factors Firstly, the mean values and standard deviations were calculated to assess the average influence of risk factors in GB projects (Table 3)
Summary
Construction activities significantly contribute to environmental pollution and are among the main reasons for global climate change (Kientzel and Kok, 2011) In this context, Green Buildings (GB), derived from the green movement around the 1970–1980s, have arisen as resolutions for the construction industry to mitigate the negative influence on. This research revealed that “inflation,” “currency and interest rate volatility worsened by the import of green materials,” “durability of green materials,” “damages caused by human error” and “shortage of green materials” are the top five critical risks. Both of the studies attempted to compare risk levels between GB projects and traditional projects. The results showed that GB projects are riskier than traditional projects because of adopting high technology and innovative material to achieve sustainability objectives
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