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The purpose of this study is to investigate the impact of Corona Virus Disease 2019 (COVID-19) on the outcome of construction projects and explore the moderating effects of emerging technologies on the relationship between COVID-19 and construction project outcomes.

Data for the study was collected through a Web-based, semistructured questionnaire. The responses of 62 construction practitioners were analyzed using a hierarchical linear regression model. The model consists of 16 independent variables, three control variables (organization size, organization type and project size), one moderator (adoption level of emerging technologies) and three dependent variables (project time, project cost and project quality).

The study confirms the negative significant impact of the COVID-19 pandemic on the performance of construction projects. It also identifies the significant moderating effects of emerging technologies in mitigating the impact of COVID-19 on construction projects. Further, it shows a significant increase in the application of emerging technologies in construction projects during the COVID-19 pandemic. Based on the findings related to the moderating impact of the technology, this study provides a clear set of recommendations for construction firms, public sector and research community in combating the unavoidable situation similar to the COVID-19 pandemic in the future.

To the best of the authors’ knowledge, this is the first study to identify the moderating role of technology on the impact of COVID-19 on the performance of the construction sector in Pakistan. The findings can also be used for the construction sectors of other developing countries.

This study addresses the integration of Industry 4.0 (I4.0) technologies with circular economy (CE) principles in the UAE construction sector, aligning with the UAE Circular Economy Policy 2021–2031 (UAECEP). It explores how digital tools can facilitate sustainable construction practices by enhancing resource efficiency, reducing waste and supporting circularity across the building life cycle.

A systematic literature review (SLR) was conducted to identify frameworks that integrate I4.0 technologies with CE principles. Based on the review, a conceptual framework was developed and refined to meet the UAE construction sector’s specific needs, focusing on applying digital tools at different stages of construction.

Integrating I4.0 tools, including building information modeling (BIM), the Internet of Things (IoT) and artificial intelligence (AI), can enhance resource efficiency, reduce waste and promote sustainability in the UAE’s construction sector. The framework aligns digital transformation efforts with the UAECEP, indicating these technologies’ applicability in design, construction, operation and end-of-life stages. Key challenges include high initial costs, technical limitations and the need for regulatory support.

This study offers a novel framework tailored to the UAE construction sector, bridging the gap between policy objectives and practical implementation. It provides strategies to overcome local challenges through stakeholder collaboration and digital innovation, contributing to the UAE’s sustainability goals.

The COVID-19 impact across major sectors did not exempt the low-cost housing (LCH) sub-sector. This may have increased the existing LCH demand-supply gap, especially in developing countries such as Malaysia. Studies showed that government policy (GP) aids in mitigating COVID-19 impact on goods and services, including housing-related issues. However, there is an academic literature scarcity regarding GP on LCH demand-supply gap during the COVID-19 crisis in Malaysia. Hence, this study aims to investigate the moderating effect of GP on the relationship between LCH demand-supply gap and COVID-19 impact in Malaysia.

The research utilised a quantitative method in collating the data from four major cities in Malaysia. SmartPLS was utilised to analyse the usable 305 questionnaires retrieved from respondents. Structuralist Theory supported the developed framework.

Findings show that GP moderates the relationships between the LCH demand-supply gap and COVID-19 impact on Malaysia's low-income groups' (LIGs) homeownership delivery. It implies that the study's findings provide more understanding of issues influencing LCH demand-supply gap in the COVID-19 era via applying GP to mitigate the gap and improve homeownership for the disadvantaged.

The study intends to stir policymakers toward formulating policies and programmes that will mitigate LCH demand-supply gap during the present and future pandemics.

Besides the theoretical value of the developed model, policymakers can use the study's recommendations to mitigate future LCH demand-supply gaps during pandemics in developing countries using Malaysia as a case study.

The study examines the influence of quality management practices (QMP) on project performance (PP) and the indirect association of QMP with PP through the mediating role of intellectual capital (IC). QMP may be one of the most successful strategies to improve project performance. Drawing on the resource-based view (RBV) and institutional theory, the study examines the impact of QMP on PP through the mediating role of IC.

The sample frame of 329 employees in different NGOs and public healthcare organizations was selected. Data were analyzed on SmartPLS 3.2.7 by applying SEM.

The outcome reveals that QMP has a significant impact on PP. The results found partial mediation of IC on the linkage between QMP and PP.

The key research limitation was that it examined only two antecedents (QMP and IC) of project performance based on RBV and institutional theory, which did not yield deep insights from other institutional forces that could influence the model, such as mimetic pressure, institutional pressure and business orientation.

QMP is highly significant in the healthcare sector; however, research on the relationship between QMP, IC and PP is lacking. Thus, this research is an initial attempt to investigate these relationships empirically. We add to our understanding of RBV by investigating the role of IC in mediating the QMP-PP linkage.

This study examines the effects of global oil shocks on sectoral returns during the Pakistani market’s bearish, normal and bullish behavior by controlling VIX and SP500.

We analyze daily sectoral return data from the Pakistan Stock Exchange, covering the period from January 2, 2012, to February 17, 2022. Oil shocks are classified into demand, risk and supply shocks using Ready (2018) methodology, distinguishing their unique characteristics and importance. We utilize quantile regression to evaluate how these oil shocks affect sectoral returns, considering market dynamics. Additionally, we employ the Granger causality test to validate our findings.

The quantile regression results indicate that the effects of oil shocks on each sector are heterogeneous and significant during both bullish and bearish market phases. Specifically, supply shocks demonstrate a more substantial influence than other shocks, consistent with Kilian’s (2009) findings. Furthermore, the Granger causality test outcomes, conducted after removing control variables, reinforce our findings.

This study offers evidence that aids investors in understanding how shocks affect sectoral returns. Additionally, it provides insights for policymakers to develop policies that respond effectively to market fluctuations caused by these shocks.

This study holds value for researchers investigating the causes of shocks and their implications for the stock market. Moreover, the insights from this study, focusing on the Pakistani market, could provide a fundamental reference for other oil-dependent nations aiming to mitigate the impacts of global oil price volatility.

Against the background of the I50 paradigm, this paper queries in what ways blockchain and blockchain-based applications deployed in the smart city context facilitate the integration of the I50 paradigm in smart urban contexts.

A mixed methods approach is applied. First, by means of desk research and thematic literature review, a conceptual model integrating the I50 paradigm, smart city and blockchain-based solutions is built. Second, science mapping bibliometric analysis (SciMat) based on keywords’ co-occurrence is applied to a sample of 491 research articles to identify key domains of blockchain-based applications’ use in smart city. Third, a semi-systematic literature review complements insights gained through SciMat. Fourth, the findings are interpreted through the precepts of the conceptual model devised earlier.

The key blockchain-based applications in smart cities pertain to two domains, i.e. the foundational, service facilitation-oriented domain, including security (and safety), networks, computing, resource management and the service delivery-oriented domain, including mobility, energy and healthcare. Blockchain serves as the key building block for applications developed to deliver functions specific to each of the thus identified domains. A substantial layering of blockchain-based tools and applications is necessary to advance from the less to the more complex functional domains of the smart city.

At the conceptual level, the intricacies of the (making of the) I50 paradigm are discussed and a case for I50 – smart city – blockchain nexus is made. Easton’s input–output model as well as constructivism is referenced. At the empirical level, the key major domains of blockchain-based applications are discussed; those that bear the prospect of integrating the I50 paradigm in the smart city are highlighted. At the methodological level, a strategic move is made aimed at restoring the literature review’s role as subservient to the key line of exploration, to justify and ultimately support it, rather than to showcase the literature review as the ultimate purpose for itself.