Purpose The COVID-19 pandemic came with a lot of stress, uncertainty and disruption for managing the construction supply chain (CSC). The disruption in return caused weak resilience of CSC activities. Unfortunately, the existing models for managing CSC focus on preparedness and recovery while neglecting the visibility perspective of resilience CSC. Towards creating a resilience CSC, this study modelled construction 4.0 as the vaccine for supply chain resilience in the construction industry. Design/methodology/approach A survey questionnaire was used to collect data randomly from construction stakeholders. The questionnaire was analysed with a structural equation model analysis using SmartPLS while conducting tests such as path coefficient analysis, discriminant analysis and importance-performance analysis. Findings This study discovered that construction 4.0 is a significant tool and vaccine for ensuring visibility, recovery and adaptation within the supply chain. Construction 4.0 will function as a vaccine for ensuring resilience because of its capacity to optimise CSC management by introducing an evidence-based management approach and less dependent on implicit knowledge. Towards reaping the full potential of construction 4.0, it should be adopted as a moderating variable. Research limitations/implications The research is limited by the use of a single methodology (quantitative) without including a qualitative method to understand better and explore the impact of construction 4.0 on CSC resilience. The qualitative part can be carried out by conducting interviews targeted at construction stakeholders. Practical implications In spite of the limitations, the findings of this study contributed to building a more responsive and resilient CSC during the pandemic period. Furthermore, this study also presented the crucial construction 4.0 technology capable of ensuring resilience within the CSC. Originality/value This paper presents a model for applying construction 4.0 as a vaccine for ensuring CSC resilience during the COVID-19 pandemic period. This study contributed to ensuring that decisions made within the CSC adopt an evidence-based approach.
Though studies in construction robotics and human–robot teams research have explored varying themes, an in-depth study of the state-of-the-art of methodological paradigms appropriate for construction robotics research is hitherto lacking, taking into consideration that several studies have highlighted conflicting methodological components such as research design, methods, data sources, data types and analytical techniques. To better understand this underexplored area, this study uses a four-stage review approach utilising a scientometric and systematic analysis method based on 112 articles. Using statistical analysis to evaluate the relationship between research components, the study reveals strong associations between components of research methods, data sources and analytical techniques. Researchers are also increasingly looking to mixed paradigms in data sources and designs, highlighting a methodological plurality in construction robotics research. Implications on what this means for the future of construction robotics, policy and stakeholders are discussed in the study.
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