Purpose This study aims to investigate the interrelationships between COVID-19 pandemic impact and architectural, engineering and construction (AEC) organizations. To achieve that aim, the objectives are to: identify the critical pandemic impact (CPI) of COVID-19 on AEC organizations; compare the CPI between the different organization characteristics; and analyze the interrelationships between the CPI. Design/methodology/approach A systematic literature review of 519 articles and in-depth interviews with 40 AEC practitioners were carried out, yielding 12 COVID-19 impacts. Then, data on the 12 impact’s criticality were collected through a survey among AEC practitioners. In total, 127 valid responses were received and analyzed using mean ranking analysis, analysis of variance and Spearman’s correlation. The findings were also compared with pandemic impacts from prior works. Findings Five CPI exist among the 12 impacts, namely, “reduced construction productivity,” “reduced foreign investment in the construction industry,” “reduced demand on construction-related works,” “disruption in the supply chain” and “reduced number of public projects.” “Reduced foreign investment in the construction industry” and “reduced demand on construction-related works” significantly impact small-medium enterprises than large enterprises. Also, “disruption in the supply chain” and “reduced construction productivity” are recurring impacts in all countries compared. Finally, moderate relationships exist between “reduced foreign investment in the construction industry” and “reduced demand on construction-related works” and “disruption in the supply chain” and “reduced construction productivity.” Originality/value The findings can be used to prioritize available resources in developing short-term responses for COVID-19. Also, action plans can be developed to mitigate the CPI from recurring.

The COVID-19 pandemic has affected the overall economy and the construction industry badly. The Movement Control Order (MCO) caused the suspension of the construction sector, including infrastructure projects. Contractors are suffering losses and facing many problems caused by the pandemic, even with the on-going government financial aids. By identifying the right approaches to improve existing government policies and strategies, contractors could better manage the problems. Thus, this research aims to explore mechanisms for reducing COVID-19’s negative impact on the infrastructure construction industry. To achieve that objective, this study involves collecting and analyzing interview data with industry practitioners. The significant findings from the analysis are: (1) COVID-19 affects the infrastructure construction industry by causing financial and productivity problems; and (2) mechanisms to address those problems include legal, financial, productivity, and environmental support. This paper’s finding is valuable for the government in determining the right actions in assisting contractors in this critical period.

Purpose Rejecting building information modeling (BIM) can negatively impact the architectural, engineering and construction (AEC) industries. While BIM is trending globally, its implementation in post-conflict low-income economies is still limited. The purpose of this paper is to identify the critical factors for implementing BIM in a post-conflict low-income economy, using Afghanistan as a case study. Design/methodology/approach This study identifies potential affecting factors for BIM implementation through reviewing existing literature and interviewing AEC professionals in Afghanistan. Then, the factors are inserted into a questionnaire survey and disseminated with Afghanistan’s AEC practitioners. The collected data was analyzed to determine the critical factors. Also, the underlying relationships between the critical factors were established through factor analysis. Findings A total of 11 critical factors are affecting BIM implementation in Afghanistan. From those, nine factors can be grouped into the following three components: technological, environmental and organizational. Two factors, “cost-benefit of implementing BIM” and “market demand for BIM,” are recurring in low- and middle-income economies. Conversely, the “presence of appropriate projects to implement BIM” is the unique critical factor for Afghanistan that might affect other post-conflict low-income economies. Originality/value This study focuses on affecting factors for BIM implementation in post-conflict low-income economies, using Afghanistan as a reference rather than other types of economies that have been widely studied.

Purpose This study aims to empirically analyze the symmetries and asymmetries among the critical factors affecting building information modeling (BIM) implementation between countries with different income levels. To achieve that aim, the study objectives are to identify: critical factors affecting BIM implementation in low-, lower-middle-, upper-middle- and high-income countries; overlapping critical factors between countries with different income levels; and agreements on the critical factors between countries with different income levels. Design/methodology/approach This study identified potential BIM implementation factors using a systematic literature review and semi-structured interviews with architectural, engineering and construction (AEC) professionals. Then, the factors were inserted into a questionnaire survey and sent to AEC professionals in Afghanistan, India, Malaysia and Saudi Arabia. The collected data was analyzed using the following techniques and tests: mean, standard deviation, normalized value, Kruskal–Wallis, Dunn and Mann–Whitney. Findings Five critical factors overlap between all countries: “availability of guidelines for implementing BIM,” “cost-benefit of implementing BIM,” “stakeholders’ willingness to learn the BIM method,” “consistent views on BIM between stakeholders” and “existence of standard contracts on liability and risk allocation.” Also, the criticality of the factors often differs between income levels, especially between low- and high-income countries, suggesting a significant gap between low- and high-income countries in BIM implementation. Originality/value This study differs from prior works by empirically analyzing the symmetries and asymmetries in BIM implementation factors between countries with different income levels (i.e. low-, lower-middle-, upper-middle- and high-income countries).

The construction industry believes that Building Information Modelling (BIM) is a platform that has the potential to promote