Modeling COVID-19 Impacts and Response Strategies in the Construction Industry: PLS-SEM Approach.

Afiqah R Radzi, Rahimi A Rahman, Saud Almutairi
Author Information
  1. Afiqah R Radzi: Faculty of Built Environment, University of Malaya, Kuala Lumpur 50603, Malaysia.
  2. Rahimi A Rahman: Faculty of Civil Engineering Technology, Universiti Malaysia Pahang, Gambang 26300, Malaysia. ORCID
  3. Saud Almutairi: Unaizah College of Engineering, Qassim University, Buraydah 51431, Saudi Arabia.

Abstract

Policymakers are developing response strategies to reduce the impacts of COVID-19. However, developing response strategies without considering their relationships with the impacts of COVID-19 is ineffective. This study aims to model the causal relationships between COVID-19 impacts and response strategies in the construction industry, using Malaysia as a case study. To achieve this, a systematic literature review and semi-structured interviews with forty industry professionals were conducted, yielding 12 impacts and 22 response strategies. The impacts and strategies were inserted into a survey, and 107 valid responses were received. Exploratory factor analysis (EFA) was conducted to group the impacts and strategies. Then, partial least-squares structural equation modeling (PLS-SEM) was employed to identify the causal relationship between the impacts and strategies. The EFA results indicate that the underlying impacts are project- or material-related, and the underlying strategies are market stability and financial aid, supply chain and project support, and information and legislation. The PLS-SEM results indicate that supply chain and project support are required to address material-related impacts, and market stability and financial aid are required to address project-related impacts. This is the first paper that models the relationships between COVID-19 impacts and response strategies in the construction industry.

Keywords

References

  1. World Dev. 2021 Jan;137:105215 [PMID: 32994664]
  2. Public Adm Rev. 2020 Jul-Aug;80(4):696-700 [PMID: 32836457]
  3. Econ Anal Policy. 2020 Dec;68:17-28 [PMID: 32843816]
  4. J Air Transp Manag. 2020 Oct;89:101900 [PMID: 32834696]
  5. Fisc Stud. 2020 Jun;41(2):371-382 [PMID: 32836541]
  6. Econ Lett. 2020 Sep;194:109392 [PMID: 32834236]
  7. J Air Transp Manag. 2020 Sep;88:101867 [PMID: 32834693]
  8. Transp Res E Logist Transp Rev. 2020 Apr;136:101922 [PMID: 32288597]
  9. Int J Hosp Manag. 2020 Sep;90:102636 [PMID: 32834356]
  10. Saf Sci. 2021 Jan;133:105022 [PMID: 33012995]
  11. J Bus Res. 2020 Aug;116:188-192 [PMID: 32501304]
  12. Resour Conserv Recycl. 2021 Jan;164:105139 [PMID: 32904429]
  13. J Fam Econ Issues. 2021;42(Suppl 1):34-51 [PMID: 32837140]
  14. World Dev. 2021 Jan;137:105198 [PMID: 32982017]
  15. Int J Environ Res Public Health. 2021 Feb 06;18(4): [PMID: 33562127]
  16. Environ Resour Econ (Dordr). 2020;76(4):867-883 [PMID: 32836852]
  17. Glob J Flex Syst Manag. 2020;21(3):283-293 [PMID: 38624462]
  18. Econ Lett. 2020 Nov;196:109503 [PMID: 32863482]
  19. Econ Model. 2020 Dec;93:465-473 [PMID: 32904582]
  20. Public Adm Rev. 2020 Sep-Oct;80(5):815-819 [PMID: 32836440]
  21. Inter Econ. 2020;55(4):224-231 [PMID: 32834098]
  22. Ann Tour Res. 2020 Jul;83:103006 [PMID: 32834221]
  23. Q Rev Econ Finance. 2023 Feb;87:181-190 [PMID: 32982131]
  24. J Bus Res. 2020 Sep;117:443-449 [PMID: 32834209]
  25. Int Small Bus J. 2020 Sep;38(6):481-491 [PMID: 35125599]
  26. Fisc Stud. 2020 Jun;41(2):363-369 [PMID: 32836537]
  27. Clean Eng Technol. 2021 Dec;5:100277 [PMID: 34604830]
  28. Financ Res Lett. 2020 Oct;36:101682 [PMID: 32837376]

MeSH Term

COVID-19
Construction Industry
Factor Analysis, Statistical
Humans
Latent Class Analysis
Least-Squares Analysis

Word Cloud

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