Marandi Alamdari, A; Jabarzadeh, Y; Samson, D and Sanoubar, N (2023) Supply chain risk factors in green construction of residential mega projects: interactions and categorization. Engineering, Construction and Architectural Management, 30(2), pp. 568-597. ISSN 0969-9988
Abstract
Purpose: Green construction has begun implementing sustainable and environmentally friendly practices, but there has not yet been an assessment for green construction supply chain risks in the literature. Identification and assessment of potential risks will result in more appropriate risk mitigation strategies to overcome disruptions affecting higher performance. Thus, this study aims to identify green construction supply chain risks of residential mega-projects. Design/methodology/approach: Interpretive structural modeling (ISM) provided a hierarchical model composed of seven layers that elucidated the driving influences between the elements. Matrice d’impacts croises-multiplication appliqúe an classement (MICMAC) analysis classified the elements into the driver, linkage and dependent variables based on their dependence and driving powers, providing a clearer understanding of risk factors and their influential characteristics. Using experts' knowledge and experience is compatible with the subjective nature of 'supply chain risks' and is more suitable while collecting pertinent quantitative data which is far more challenging. Findings: Tenable output, using an international expert group, addressed key risk factors. Technical expertise and skilled labor, key customers, and corporate culture are found as elements with most driving power, and the final product and logistics coordination and supply chain configuration found as the most dependent risk factors. Managerial implications addressed the most fundamental risk sources and suggested practical proactive risk management approaches to maximize green supply chain performance. Originality/value: Identified supply chain oriented key risk factors of the residential green mega projects add novelty to the context of green construction projects' supply chain management. And eliciting the influential relations of the key risk factors provide a bigger picture of key risks in green residential mega projects that can be extended by sub-risks related to process activities. Assessing supply chain risks' interactions in the context of green residential mega projects is a novel contribution to mega construction-project management's body of knowledge. Also, the key risk factors were categorized based on the characteristics known as driving power and dependence.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | construction; risk management; supply chain |
| Index terms: | project management, interaction, skilled labour, methodology, configuration, dependent variable, construction supply chain, body of knowledge, corporate culture, risk management, risk mitigation, risk factor, strategy, construction project, supply chain performance, interpretive structural modelling, coordination, linkage, environmentally friendly |
| Subjects: | statistical analysis, project management theory and practice, behavioral psychology, production management, sustainable design, knowledge management, risk assessment, business, systems engineering, management, sociology, environmental hazards, construction logistics, data analysis and analytics, supply chain performance, financial risk, research methods |
| Topics: | Business Strategy, Information Management, Risk Management, Supply Chain Management, Engineering Principles, Sustainability, Research Practice, Project Management, Cost Management, Organizational Design, Human Resources |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here