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With the increasing use of small unmanned aircrafts (SUAs), many countries have enacted laws and regulations to ensure the safe use of SUAs. However, there is a lack of industry-specific regulations accounting for the unique features of construction-related SUA operations. Operating SUAs in the construction industry is attributed to specific risks and challenges, which should be regulated to maximize the utility of SUAs in construction. This study, therefore, aims to develop a multi-dimensional regulatory framework for using SUAs in the construction industry.

A combination of quantitative and qualitative methods was used to compare seven selected national/regional SUA regulations to identify the applicability of implementing the existing regulations in construction. The interview surveys were then conducted to diagnose the challenges of construction-related SUA operations and gather interviewees' suggestions on the regulatory framework for SUA uses in construction.

The research found that some challenges of construction-related SUAs operations were not addressed in the current regulations. These challenges included the complex and time-consuming SUA operation permit, lack of regulation for special SUA operations in construction, insufficient regulatory compliance monitoring and a lack of construction-related remote pilots' training. A regulatory framework was then developed based on the findings of comparative analysis and interview surveys.

This study mainly compared seven representative countries/regions' regulations, leading to a small sample size. Further research should be carried out to study the SUA regulations in other places, such as South Africa, South America or Middle East countries. Besides, this study's respondents to the interviews were primarily concentrated in Hong Kong, which may cause the interview results to differ from the construction industry in other countries/regions. A large-scale interview survey should be conducted in other places in the future to validate the current findings.

The proposed regulatory framework provides a reference for the policy-makers to formulate appropriate industry-specific SUA regulations and improve the applicability of SUA regulations in the construction industry. It sheds light upon the future of SUA regulations and the development of regulatory practice in this area.

This study is the first to propose a multi-dimensional regulatory framework for operating SUAs in construction by comprehensive policy comparisons and interviews. The regulatory framework offers a fresh insight into the unexplored research area and points out the direction for subsequent studies on SUA regulations in the construction industry.

Productivity increase is correlated with profitability, sustainability and competitiveness of the construction firms. Recent studies reveal that the primary causes of productivity decline are poor usage of scientific and technological advances, ineffective supervision strategies and poor apprenticeship facilities/opportunities. Accordingly, the purpose of this study was to evaluate how well construction supervisors can utilise fundamental science and technological concepts/ideas to increase the efficiency and productivity of construction activities.

A new strategic layout was designed with the use of potential training guide tools. Based on the designed layout, a new supervisory training programme was developed, and 62 construction supervisors were selected, trained and evaluated in line with six parts of competencies and the relevant learning domains. An assessment guide with different levels of descriptions and criteria was developed through literature analysis and expert interviews. The research tools were verified using comprehensive approaches.

The overall mean values of supervisors’ performance scores indicate proficient-level grades in the competency characteristics related to taking measurements, generating drawings/designs using manual techniques and computer-aided tools, involving Bill of Quantities (BOQ) preparations and preparing training plans/materials for improving the competencies of labourers on estimation, measurements and understanding drawings. Their proficiency was notably lower in the use of information and communication technology application tools in construction tasks compared to others. The findings point to a modern generalised guideline that establishes the ranges of supervisory attributes associated with science and technology-related applications.

The study outcomes produce conceptualised projections to restructure and revalue the job functions of various working categories by adding new definitions within the specified scope. This may result in constructive benefits to upgrading the current functions associated with urbanisation, sustainability and society. The implementation of the study’s findings/conclusions will have a significant impact on present and future practices in other developing nations and developing industries, even if they are directly applicable to the Sri Lankan construction industry.

Up to certain limits/stages, the study fills not only the knowledge gap in the field of creating protocols and application techniques connected to lifelong learning and skill enhancement/upgrading but also the existing gaps in work attributes and roles of construction supervisors associated with the utilisation of fundamental science and technological concepts/ideas towards reinforcing sustainable and productive site operations.

A rise in productivity is associated with higher profits, competitiveness and the sustainability of an industry and a nation. Recent studies highlight inadequate labour supervision and training facilities as the main causes of productivity-related challenges among construction enterprises. This study aims to evaluate the construction supervisors' capabilities in applying the required elements of work practices for enhancing the performance and productivity of construction operations using a case study.

A new construction supervisory training programme was developed through comprehensive sequential processes, and 64 construction supervisors underwent training . Marking guides with different levels of descriptions/standards were developed through consultations with experts and literature reviews, and the supervisors' capabilities were assessed under 64 competency elements of 12 competency units.

The findings show a clear cross-section of all the required competencies of construction supervisors with various levels of standards/descriptions, leading to a new generalised guideline that helps to comprehend what degrees of skills can be taken into account in supervision attributes. Statistical tests and expert reviews were used to ensure the generalisability of the research applications and the reliability of the results.

Despite the study findings being limited to the Sri Lankan construction industry, its applicability could create considerable impacts on the current/future practices of the construction sector in developing countries as well as other developing industries.

The study adds new characteristics and values to construction supervision practices that can be remarkable in encouraging construction supervision to drive the sustainability of construction practices. The study findings are significant in decision-making/planning procedures related to technical comprehension, industry training, scientific documentation, adherence to workforce employment constraints and job outputs. This paper describes the further extensive implications and future scopes of the study elaborately.

This study addresses the knowledge gap in the industry related to the development of protocols and application methodologies necessary to track their performance. The study opens a new window that inflows knowledge attributes to the industry sector along with the necessary comparison of the relevant competency elements to predict/comprehend what levels of capabilities can be theoretically considered and practically applied in supervision characteristics.

The concept of working capital management (WCM) has been a fundamental financial accounting term that has evolved in financial theory for centuries. Given that the construction industry (CI) is financially dynamic, there is an imperative need to understand its WCM practices. The call for the industry players to adhere to efficient financial management practices as a result of a huge financing gap requires consented effort. This study aims to explore the trend of practices of WCM in the CI and elicit a broader polemic dialogue about this crucial theme.

The source of information for the study was secondary mainly from referenced journals and international conference papers published on WCM relating to the CI. A three-step sample selection strategy was adopted to identify the range and scope of publications on WCM in the CI based on the systematic literature review method.

The CI cannot boost of enough empirical WCM research to gain in-depth understanding of its practical trend. The developing economies are failing to produce insightful peer-reviewed papers on WCM to assist in bridging the infrastructural financing gap through apposite strategies. Gaining appropriate knowledge of the short-term financial operations through a conceptualization of WCM practices in the CI may lead to better strategies formulated for smooth operations.

This is a pioneering paper in developing economies that have taken stock of WCM knowledge of the practical trend in the CI. Future research prospects in which WCM matters can use it as a reference point.

Studies highlight that poor labour supervision and inadequate labour training facilities are the primary factors that result in labour skill shortages and productivity-related challenges among construction firms. This study aims to assess the construction supervisors’ abilities in providing work-based training elements and evaluating labour skills in construction.

A construction supervisory training programme was newly designed with a set of labour training exercises using comprehensive approaches. A total of 64 construction supervisors were trained to deliver the labour training components for more than 250 labourers working on 23 construction projects in Sri Lanka. The supervisors’ competencies were assessed using a detailed marking guide developed through expert discussions and literature reviews.

The results show the detailed cross-section of a wide range of competencies of the construction supervisors in providing labour training elements with the levels of standards/descriptions. The generalisability of the study applications and the reliability of the results were ensured using statistical tests and expert reviews. The findings further describe the impacts of the well-improved competencies of construction supervisors on labour working patterns and work outputs.

Though the study findings were limited to the Sri Lankan construction sector, the study applications can have a considerable impact on the current/future practices of the construction sector in developing countries as well as other developing industries.

The study outcomes may contribute to a rapid increase in the number of construction supervisors becoming certified assessors of National Vocational Qualifications up to certain levels. This paper describes the further extensive implications and future scopes of the study elaborately.

The study adds new characteristics and values to construction supervision practices that can be remarkable in achieving higher levels of performance and productivity in labour operations. Importantly, the study contributes to adorning the job role of construction supervisors with the title of “labour training expert”.

The sustainability of the construction industry is associated with the productivity, profitability and competitiveness of the firms, which are significantly affected by inefficient site supervision and labour management approaches. This study aims to use a case study with mixed methods to evaluate the site supervisory characteristics in labour management, labour performance assessment and labour productivity measurement towards developing meaningful guidelines in polishing construction supervision attributes.

Well-developed modern apprenticeship elements were applied to 62 construction supervisors who were selected using the snowball sampling method, and their relevant competency characteristics were assessed using a comprehensively developed grading mechanism connected with useful training manuals/tools. Academic reviews, experts’ consultations and other meticulous mixed approaches were applied at different stages of the research plan’s sequential layout.

The mean performance scores of supervisors indicate proficient-level grades in the competency characteristics related to applying efficient labour management procedures and developing-level grades in designing productivity measurement tools, performing assessments on efficiency and productivity and proposing enhancement practices on efficiency and productivity for site operations. The findings point to a modern generalised guideline that establishes the ranges of supervisory attributes within the scope of the study. The validity, reliability, adaptability and generalisability of the findings were assured by using pertinent statistical tests and professional assessments.

Though the study’s conclusions/findings are primarily applicable to the construction environment of a developing country comparable to the Sri Lankan context, they will considerably impact current/future industrial practices in various other countries and emerging industries.

The research has produced a conceptualised modern tool that guides determining the capacity levels of supervisory attributes for carrying out labour management, labour performance assessment and labour productivity measurement aspects in construction. The research has opened a pump that inflows new values of highly workable supervision features for strengthening the site management structures and filling the industry’s knowledge vacuum in the methodical execution of apprenticeships.

This study aims to investigate the drivers influencing the adoption of building information modelling (BIM) for post-construction management in the architecture, engineering, construction and operations (AECO) industry, specifically focusing on International Facility Management Association (IFMA) registered professionals in Abuja, Nigeria.

A quantitative approach was employed, using a purposive sampling technique. In total, 132 valid responses were analysed using statistical tools such as Cronbach’s alpha, mean, one sample t-test, Kruskal–Wallis, factor and correction analysis.

Result shows that flexibility among industry stakeholders towards adopting new technology and safety/emergency management are the most critical drivers. All the identified drivers were significant (p < 0.05). Kruskal–Wallis’s analysis shows that professionals have similar opinions on the BIM drivers. Factor analysis categorises the drivers into seven components: availability and usage of software, increased efficiency, improved performance, safety and resources, change in method of operation, improved profitability and government intervention. Positive correlations connect BIM software availability with efficiency, performance, safety, resource management, operational changes, profitability and government support.

One limitation of this study is the focus on a specific group of professionals in Abuja, which may limit the generalisability of findings to the broader Nigerian AECO industry. Future research should consider a more diverse sample. In addition, qualitative research methods could provide deeper insights into the qualitative aspects of BIM adoption.

This research contributes to the existing body of knowledge by providing empirical evidence of the drivers influencing BIM adoption in the post-construction phase, particularly in Nigeria.

This study aims to identify and examine the critical resultant impacts of the coronavirus (COVID-19) pandemic on quality assurance (QA) of cross-border construction logistics and supply chain (CB-CLSC).

This is achieved via embedded mixed-method design pragmatically involving desk literature review, survey and interviews from related experts within the Hong Kong Special Administrative Region (SAR)–Mainland China links. The design is further integrated with descriptive analysis, criticality test, rank agreement analysis, spearman correlation test and sentiment analysis.

The study revealed 10 critical resultant impacts of the COVID-19 pandemic on the QA of CB-CLSC, with the top three including “increased use of digital technologies (M10)”, “worker absence, labour shortage and decrease in work rate (M3)” and “changes to how construction sites operate (M9)”. Three underlying dimensions were discovered among all the critical resultant impacts: “cost-time-worker (CTW)-related impacts”, “work contract and operation (WCO)-related impacts” and “work process (WP)-related impacts”. The critical resultant impacts are reflected in the time, cost, raw materials and work processes, and this could manifest as negative as well as an opportunity to position the QA system to be adequate during the pandemic and post-pandemic era.

The study contributes to the knowledge body as it identifies and examines the critical resultant impacts of the COVID-19 pandemic on the QA of CB-CLSC. This is original research with invaluable primary data collected in the form of surveys and interviews from construction quality experts within the Hong Kong (SAR)–Mainland China links, known as the world’s factory.

This research investigated the impacts of COVID-19 on construction enterprises and good practices adopted by the enterprises in reducing COVID-19 risks. The Sendai Framework (TSF) is widely accepted as a strategic roadmap to reduce disaster risks throughout the life cycle of a disaster. As such, with the aim of enhancing the resilience of Australian construction enterprises, the identified good practices were mapped with TSF priorities to consolidate COVID-19 risk reduction practices that can be adopted by Australian construction enterprises.

Case study research approach was used, and three case studies were conducted with small, medium and large construction enterprises. Small, medium and large enterprises were selected based on the Australian Bureau of Statistics classification of the business size. Data were collected through semi-structured interviews conducted with three executive members from the three enterprises. Data were analysed using content analysis.

The study found that construction enterprises faced demand and supply side impacts. Infrastructure projects, funded by public sector clients and larger enterprises were least affected. Investments and demand for residential and other building projects were reduced by private sector clients, affecting small and medium enterprises. Findings also show that the construction enterprises adopted good practices in identifying, managing, investing on resilience and recovery that align with TSF priorities. All three enterprises agreed on some common good practices on risk identification, risk management and effective recovery. Different views were shared on investments related to disaster resilience.

This study contributes to mitigate the COVID-19 impacts on construction enterprises and subsequent economic and social impacts.

This research found how Australian construction enterprises survived during COVID-19. The study adopted TSF to construction and COVID-19 context while consolidating COVID-19 risk reduction practices.

Formulating strategic decisions poses a significant challenge for construction organizations, profoundly impacting their overarching strategic management. The success of an organization’s strategy relies on how information is managed and decisions are executed. However, the literature has a limited understanding of the connection between information quality and strategic decision-making, particularly in construction business performance. This study aims to bridge this gap by exploring how information quality mediates the relationship between strategic decision-making and the performance of construction businesses in New Zealand.

This quantitative study aims to fill this gap by assessing how information quality shapes strategic decision-making practices, impacting construction organizations’ performance. Analysing 102 viable responses through partial least squares structural equation modeling structural equation modelling offers partial support to the research framework.

The study used statistical analysis to gauge the impact of adopting strategic management practices on construction business performance, considering the mediation of the quality of information within New Zealand’s context. It affirmed a positive correlation between strategic decision-making management and construction business performance, underpinned by the mediation of quality of information.

This study underscores the critical role of information quality in evaluating strategic decisions for bolstering construction business performance. In essence, it affirms that enhancing the performance of construction organizations via strategic decision-making is intrinsically linked to the quality of information.

This study makes a noteworthy contribution by establishing connections between decision importance, process effectiveness, information quality, intuition in decision-making and model development, providing valuable insights to the field.