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Anjomshoa, E (2024) Key performance indicators of construction companies in branding products and construction projects for success in a competitive environment in Iran. Engineering, Construction and Architectural Management, 31(05), 2151-75.

Arora, M, Prakash, A, Mittal, A and Singh, S (2024) Examining the slow acceptance of HR analytics in the Indian engineering and construction industry: a SEM-ANN-based approach. Engineering, Construction and Architectural Management, 31(05), 1973-93.

Aslam, M, Baffoe-Twum, E and Malik, S (2024) Benchmarking lean construction conformance in Pakistan’s construction industry. Engineering, Construction and Architectural Management, 31(05), 2077-100.

Chan, I Y S and Chen, H (2024) Towards an integrative analysis of underground environment and human health: a survey and field measurement approach. Engineering, Construction and Architectural Management, 31(05), 1807-34.

Cole-Colander, C (2003) Designing the Customer Experience. Building Research & Information, 31(05), 357–66.

Cong, W, Zhang, S, Liang, H and Xiang, Q (2024) Impact of challenge and hindrance job stressors on informal safety communication of construction workers in China: the moderating role of co-worker relationship. Engineering, Construction and Architectural Management, 31(05), 2011-33.

Cooper, R, Bruce, M, Wootton, A, Hands, D and Daly, L (2003) Managing design in the extended enterprise. Building Research & Information, 31(05), 367–78.

Espinoza, D and Morris, J W F (2013) Decoupled NPV: a simple, improved method to value infrastructure investments. Construction Management and Economics, 31(05), 471-96.

Fazeli, A, Banihashemi, S, Hajirasouli, A and Mohandes, S R (2024) Automated 4D BIM development: the resource specification and optimization approach. Engineering, Construction and Architectural Management, 31(05), 1896-922.

Fellows, R and Liu, A M M (2013) Use and misuse of the concept of culture. Construction Management and Economics, 31(05), 401-22.

Gann, D M, Salter, A J and Whyte, J K (2003) Design Quality Indicator as a tool for thinking. Building Research & Information, 31(05), 318–33.

Ghansah, F A, Lu, W and Ababio, B K (2024) Modelling the critical challenges of quality assurance of cross-border construction logistics and supply chain during the COVID-19 pandemic. Engineering, Construction and Architectural Management, 31(05), 2128-50.

  • Type: Journal Article
  • Keywords: construction quality management; COVID-19; critical challenges; cross-border construction logistics and supply chain; quality assurance
  • ISBN/ISSN:
  • URL: https://doi.org/10.1108/ECAM-01-2024-0016
  • Abstract:
    Purpose: The COVID-19 pandemic has impacted the construction industry, yet still, it is unclear from existing studies about the critical challenges imposed on quality assurance (QA), particularly Cross-border Construction Logistics and Supply Chain (Cb-CLSC). Thus, this study aims to identify and examine the critical challenges of QA of Cb-CLSC during the COVID-19 pandemic. Design/methodology/approach: The aim is achieved via an embedded mixed-method approach pragmatically involving a desk literature review and engaging 150 experts across the globe using expert surveys, and results confirmed by semi-structured interviews. The approach is based on Interpretive Structural Modelling (ISM) as its foundation. Findings: The study revealed ten critical challenges of QA, with the top four including “the shortage of raw construction material (C7)”, “design changes (C6)”, “collaboration and communication difficulties (C1)” and “changes in work practices (C10)”. However, examining the interrelationships among the critical challenges using ISM confirmed C7 and C10 as the most critical challenges. The study again revealed that the critical challenges are sensitive and capable of affecting themselves due to the nature of their interrelationship based on MICMAC analysis. Hence, being consistent with why all the challenges were considered critical amid the pandemic. Sentiment analysis revealed that the critical challenges have not been entirely negative but also positive by creating three areas of opportunities for improvement: technology adoption, worker management, and work process management. However, four areas of challenges in the QA include cost, raw material, time, and work process, including inspection, testing, auditing, communication, etc. Practical implications: The finding provides a convenient point of reference to researchers, policymakers, practitioners, and decision-makers on formulating policies to enhance the effectiveness of construction QA during the pandemic through to the post-pandemic era. Originality/value: The study enriches the extant literature on QA, Cb-CLSC, and the COVID-19 pandemic in the construction industry by identifying the critical challenges and examining the interrelationships among them. This provides a better understanding of how the construction QA has been affected by the pandemic and the opportunities created. © 2024, Emerald Publishing Limited.

Gibson, E G and Gebken, R J (2003) Design quality in pre-project planning: applications of the Project Definition Rating Index. Building Research & Information, 31(05), 346–56.

Goh, Y M and Chua, D (2013) Neural network analysis of construction safety management systems: a case study in Singapore. Construction Management and Economics, 31(05), 460-70.

Guo, Y, Liu, J, Chen, C, Luo, X and Martek, I (2024) PPP project price mode typologies: a China-based comparative case study. Engineering, Construction and Architectural Management, 31(05), 2034-52.

Han, Y, Shen, J, Zhu, X, An, B and Bao, X (2024) Interaction mechanisms of interface management risks in complex systems of high-speed rail construction projects: an association rule mining-based modeling framework. Engineering, Construction and Architectural Management, 31(05), 2101-27.

Hansen, K L and Vanegas, J A (2003) Improving design quality through briefing automation. Building Research & Information, 31(05), 379–86.

Hu, Y, Song, J and Zhao, T (2024) Evolutionary game analysis of the intelligent upgrading of smart solar photovoltaic projects. Engineering, Construction and Architectural Management, 31(05), 1835-56.

Huang, W, Zhong, D and Chen, Y (2024) The relationship between construction workers’ emotional intelligence and safety performance. Engineering, Construction and Architectural Management, 31(05), 2176-201.

Li, H, Chen, Y, Zheng, J, Fang, Y, Yang, Y, Skitmore, M, Rusch, R and Jiang, T (2024) The influence of the psychological contract on the safety of performance of construction workers in China. Engineering, Construction and Architectural Management, 31(05), 1879-95.

Liao, L, Ye, Y, Wei, N, Li, H and Fan, C (2024) Exploring blockchain technology acceptance among non-managerial construction practitioners in Shenzhen, China. Engineering, Construction and Architectural Management, 31(05), 2053-76.

Odeyinka, H A, Lowe, J and Kaka, A P (2013) Artificial neural network cost flow risk assessment model. Construction Management and Economics, 31(05), 423-39.

Onubi, H O, Carpio, M and Hassan, A S (2024) Job satisfaction in green construction projects: antecedent roles of green work climate, pro-environmental construction practice and green human capital. Engineering, Construction and Architectural Management, 31(05), 1857-78.

Orr, S and Jadhav, A (2024) The effect of construction sustainability system interactions on financial performance: a sociotechnical perspective. Engineering, Construction and Architectural Management, 31(05), 1923-46.

Pinder, J, Iii, R S and Saker, J (2013) Stakeholder perspectives on developing more adaptable buildings. Construction Management and Economics, 31(05), 440-59.

Thomson, D S, Austin, S A, Devine-Wright, H and Mills, G R (2003) Managing value and quality in design. Building Research & Information, 31(05), 334–45.

Tiew, S Y (2024) Factors affecting performance of graduate architects in contract implementation management: a case study on housing projects in Malaysia. Engineering, Construction and Architectural Management, 31(05), 1789-806.

Wang, D, Luo, J and Wang, Y (2024) Multifactor uncertainty analysis of prefabricated building supply chain: qualitative comparative analysis. Engineering, Construction and Architectural Management, 31(05), 1994-2010.

Whyte, J K and Gann, D M (2003) Design Quality Indicators: work in progress. Building Research & Information, 31(05), 387–98.

Wu, X, Qian, Q and Zhang, M (2024) Impact of supervisor leadership on construction worker safety behavior in China: the moderating role of social capital. Engineering, Construction and Architectural Management, 31(05), 1947-72.