Modelling of critical success factors to improve the supply chain resilience for sustainable construction sector

Singh, N; Dixit, A and Ashish, D K (2025) Modelling of critical success factors to improve the supply chain resilience for sustainable construction sector. Smart and Sustainable Built Environment, 14(6), pp. 1846-1878. ISSN 2046-6099

Abstract

Purpose – The construction industry has an intricate and constantly evolving supply chain (SC) that includes multiple stakeholders and processes. Enhancing SC resilience (SCR) is essential for promoting industry expansion and competitiveness. The SCR has attracted considerable interest because of the increasing worldwide challenges and threats facing SCs. This study introduces a conceptual framework for recognizing and classifying resilient supply chains' critical success factors (CSFs) in sustainable construction. Design/methodology/approach – This research employs a sequential mixed-methods approach, combining qualitative and quantitative analyses. Initially, an extensive literature review and expert consultations were conducted to identify potential CSFs. The fuzzy decision-making trial and evaluation laboratory (DEMATEL) method was then applied to classify these CSFs into cause-and-effect groups. To further analyse the interrelationships among the CSFs, interpretive structural modelling (ISM) was utilised, establishing a hierarchical framework. This integrated methodology provides a comprehensive understanding of the CSFs' relative importance and their driving and dependence power, facilitating targeted interventions for enhancing supply chain resilience in the construction sector. Findings – This integrated methodology establishes a hierarchical ranking of CSFs across five levels by revealing their causal interrelationships. The study addresses crucial SCR issues and provides actionable insights. The 17 finalized CSFs have 12 causal and five effect factors. The "safety measures and guidelines" have the highest driving potential, whereas the "availability of standardized materials/equipment" and "skilled human resources" depend highly on causal CSFs. The findings will offer a detailed perspective to narrow the gap between unsustainability and sustainability by enhancing the resilience of CSC. Practical implications – It offers a pragmatic framework for allocating resources and efforts to enhance the resilience of construction supply chains (CSCs). Policymakers can also use this study to create a more resilient SC for sustainable construction. Originality/value – This study uniquely identifies and evaluates CSFs for SCR in the construction industry, providing a novel analysis of their driving power, dependence power and ranking. No previous studies have demonstrated such a comprehensive evaluation.

Item Type: Article
Uncontrolled Keywords: critical success factors; fuzzy-DEMATEL; ISM; supply chain resilience; sustainable construction
Index terms: safety measures, decision-making, sustainable construction, methodology, human resource, modelling, construction sector, laboratory, construction supply chain, quantitative analysis, competitiveness, literature review, relative importance, construction industry, interpretive structural modelling, conceptual framework, critical success factor, supply chain resilience
Subjects: decision analysis, supply chain resilience, control systems, analytical methods, data analysis and analytics, construction logistics, research methods, industry analysis, market analysis, research management, risk assessment, sustainable construction, management, theoretical framing, health safety and environment
Topics: Sustainability, Human Resources, Risk Management, Supply Chain Management, Health and Safety, Research Practice, Project Management, Engineering Principles
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