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Abdel-Wahab, M and Vogl, B (2011) Trends of productivity growth in the construction industry across Europe, US and Japan. Construction Management and Economics, 29(06), 635–44.
Bajjou, M S and Chafi, A (2022) Exploring the critical waste factors affecting construction projects. Engineering, Construction and Architectural Management, 29(06), 2268-99.
Camilleri, M, Jaques, R and Isaacs, N (2001) Impacts of climate change on building performance in New Zealand. Building Research & Information, 29(06), 430–50.
Chi, C S F and Nicole Javernick‐Will, A (2011) Institutional effects on project arrangement: high‐speed rail projects in China and Taiwan. Construction Management and Economics, 29(06), 595–611.
Edwards, D J (2001) Predicting construction plant maintenance expenditure. Building Research & Information, 29(06), 417–27.
Ekanayake, E M A C, Shen, G, Kumaraswamy, M and Owusu, E K (2022) A fuzzy synthetic evaluation of vulnerabilities affecting supply chain resilience of industrialized construction in Hong Kong. Engineering, Construction and Architectural Management, 29(06), 2358-81.
- Type: Journal Article
- Keywords: fuzzy synthetic evaluation (fse); industrialized construction (ic); supply chain resilience (scr); supply chain vulnerabilities (scvs)
- ISBN/ISSN:
- URL: https://doi.org/10.1108/ECAM-12-2020-1010
- Abstract:
Purpose: Demands for Industrialized Construction (IC) have intensified with growing construction industry imperatives to (A) boost performance; (B) reduce reliance on “in-situ and on-site” operations; and (C) strengthen supply chain resilience (SCR) not just for survival but also to fulfill obligations to clients in the coronavirus disease 2019–induced (COVID-19–induced) “new normal”. In addressing these imperatives, this paper targets more effective leveraging of latent efficiencies of off-site-manufacture, based on findings from a Hong Kong (HK)–based study on assessing and improving SCR in IC in a high-density city. Design/methodology/approach: Starting with the identification of critical supply chain vulnerabilities (CSCVs), this study developed a multilevel–multicriteria mathematical model to evaluate the vulnerability levels of IC supply chains (SCs) in HK based on an in-depth questionnaire survey followed by experts’ inputs and analyzing them using fuzzy synthetic evaluation (FSE). Findings: The overall vulnerability index indicates that IC in HK is substantially vulnerable to disruptions, while production-based vulnerabilities have the highest impact. Top management attention is needed to address these CSCVs in IC in HK. Originality/value: To the authors’ knowledge, this is the first structured evaluation model that measures the vulnerability level of IC, providing useful insights to industry stakeholders for well-informed decision-making in achieving resilient, sustainable and performance-enhanced SCs.
Gambatese, J A and Hallowell, M (2011) Enabling and measuring innovation in the construction industry. Construction Management and Economics, 29(06), 553–67.
Gidigah, B K, Agyekum, K and Baiden, B K (2022) Defining social value in the public procurement process for works. Engineering, Construction and Architectural Management, 29(06), 2245-67.
Gundes, S (2011) Input structure of the construction industry: a cross‐country analysis, 1968–90. Construction Management and Economics, 29(06), 613–21.
Hartono, B and Yap, C M (2011) Understanding risky bidding: a prospect‐contingent perspective. Construction Management and Economics, 29(06), 579–93.
Mohamed, E, Jafari, P and Hammad, A (2022) Mixed qualitative–quantitative approach for bidding decisions in construction. Engineering, Construction and Architectural Management, 29(06), 2328-57.
Murray, B and Smyth, H (2011) Franchising in the US remodelling market: growth opportunities and barriers faced by general contractors. Construction Management and Economics, 29(06), 623–34.
Musarat, M A, Alaloul, W S and Liew, M S (2022) Inflation rate and labours’ wages in construction projects: economic relation investigation. Engineering, Construction and Architectural Management, 29(06), 2461-94.
Navandar, Y V, Bari, C and Gaikwad, P G (2022) Failure factors–a comparative study of private and government construction firms. Engineering, Construction and Architectural Management, 29(06), 2495-513.
Rezakhani, P (2022) Project scheduling and performance prediction: a fuzzy-Bayesian network approach. Engineering, Construction and Architectural Management, 29(06), 2233-44.
Scheublin, F J M (2001) Project alliance contract in The Netherlands. Building Research & Information, 29(06), 451–5.
Shouman, B, Othman, A A E and Marzouk, M (2022) Enhancing users involvement in architectural design using mobile augmented reality. Engineering, Construction and Architectural Management, 29(06), 2514-34.
Taher, A, Vahdatikhaki, F and Hammad, A (2022) Formalizing knowledge representation in earthwork operations through development of domain ontology. Engineering, Construction and Architectural Management, 29(06), 2382-414.
van Manen, M, olde Scholtenhuis, L and Voordijk, H (2022) Empirically validating five propositions regarding 3D visualizations for subsurface utility projects. Engineering, Construction and Architectural Management, 29(06), 2535-53.
Wang, K, Ke, Y, Liu, T and Sankaran, S (2022) Social sustainability in Public–Private Partnership projects: case study of the Northern Beaches Hospital in Sydney. Engineering, Construction and Architectural Management, 29(06), 2437-60.
Wang, Z, Xie, W and Liu, J (2022) Regional differences and driving factors of construction and demolition waste generation in China. Engineering, Construction and Architectural Management, 29(06), 2300-27.
Westberg, K, Noren, J and Kus, H (2001) On using available environmental data in service life estimates. Building Research & Information, 29(06), 428–39.
Yap, J B H, Skitmore, M, Lim, Y W, Loo, S C and Gray, J (2022) Assessing the expected current and future competencies of quantity surveyors in the Malaysian built environment. Engineering, Construction and Architectural Management, 29(06), 2415-36.
Zhang, H, Xing, F and Liu, J (2011) Rehabilitation decision-making for buildings in the Wenchuan area. Construction Management and Economics, 29(06), 569–78.