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Establishing a more sustainable built environment is an increasing global concern for the construction industry. Despite the intrinsic and extrinsic obstacles the stakeholders face, huge efforts are required to transition to a smooth, sustainable construction (SC) practice. This study identifies and discusses cogent obstacles to SC in developing nations.

The Preferred Reporting Item for systematic reviews and Meta-Analysis (PRISMA) approach was employed to establish research work in SC for developing countries. The databases used were Scopus and Web of Science. Meta-analysis of keywords was analysed thematically. The initial broad search returned 8,420 publications which were filtered and reviewed in-depth to fit the aim of the study, produced only 21 relevant publications from the years 2000–2021.

The four identified themes of obstacles to SC in developing countries are as follows: construction professional training and education, clients' attitudes and awareness, construction industries' culture and capacity and governments' regulation, policies and economy. The key barriers identified from the meta-analysis include inadequate training and education amongst construction professionals, poor execution of sustainability ethics, poor populace attitude towards sustainability, poor awareness and understanding, dearth of precise data and integrated study and inappropriate priorities about sustainability.

The originality in this study are themes drawn from millennium development goals (MDGs) and sustainable development goals (SDGs) publications related to SC. Consequently, the final framework presented a holistic approach to surmounting the established limitations and aided recommendations for future studies. Thus, setting a background for developing strategies to overcome the limitations and further attain sustainable development (SD).

Flood preparedness and response from the perspective of community engagement mechanisms have been studied in scholarly articles. However, the differences in flood mitigation may expose social and behavioural challenges to learn from. This study aimed to demonstrate how text mining can be applied in prioritising existing contexts in community-based and government flood mitigation and management strategies.

This investigation mined the semantics researchers ascribed to flood disasters and community responses from 2001 to 2022 peer-reviewed publications. Text mining was used to derive frequently used terms from over 15 publications in the Scopus database and Google Scholar search engine after an initial output of 268 peer-reviewed publications. The text-mining process applied the topic modelling analyses on the 15 publications using the R studio application.

Topic modelling applied through text mining clustered four (4) themes. The themes that emerged from the topic modelling process were building adaptation to flooding, climate change and resilient communities, urban infrastructure and community preparedness and research output for flood risk and community response. The themes were supported with geographical flood risk and community mitigation contexts from the USA, India and Nigeria to provide a broader perspective.

This study exposed the deficiency of “communication, teamwork, responsibility and lessons” as focal themes of flood disaster management and response research. The divergence in flood mitigation in developing nations as compared with developed nations can be bridged through improved government policies, technologies and community engagement.

Kaizen in construction is a new paradigm stemming out of lean production systems. Construction companies in developing economies, such as Nigeria, have a task to innovate to liquidate in certain cases. With the aid of kaizen, which encompasses the benefit of stakeholder relationship improvement and management, profitability enhancement and delivery of projects to satisfied clients, construction companies can realise expected growth. An exploration of the critical success factors (CSF) and associated drivers within the limits of the scope is essential. The paper aims to discuss these issues.

Exploratory factor analysis statistical tests categorised the CSF identified in the literature review section. A detailed sampling approach extracted 135 questionnaires under the five-point Likert scale format from a larger population in Nigeria. An exploration of important drivers and iteration of eigenvalues combined with asymptotic significance of the drivers provided the CSF and significant drivers.

Construction management function, operational efficiency, construction business ethics and construction cost management were the CSF established from the exploratory factor analysis tests. It was confirmed that kaizen can be adopted in Nigerian construction companies with reflections on the principal drivers for the CSF.

The exploration of the CSF and drivers associated with kaizen implementation can be applied to other developing countries with considerations of implementation in terms of cost and time.

The identification of CSF provides ample opportunity for consideration of kaizen in construction companies. The findings of this study are a basis for investigations into cost and time implications of kaizen adoption in construction companies.

Income from investment properties can fluctuate depending on the state of the economy. The idea that there is always a potential exit (sale) value whenever the property stops performing at its optimum or deflation in the economy will always appeal to investors. To determine housing prices, investors would rely on a direct comparison approach (DCA) of recent substitute sales in the open market. Appraisers use this approach to develop an opinion of value when there is a plethora of recent sales to analyse.

The study was designed to establish the use of the analytical hierarchy process (AHP) approach as a support tool for deciding property appraisals. A case study of an industrial single-storey stand-alone building with grade-level parking in the south-east of Calgary, Canada, was investigated with the AHP approach. The result was cross-referenced with the DCA.

Using a consistency index of 0.077321 and a consistency ratio of 0.085912, the matrix multiplication was determined to be 0.456706. The average valuations derived from the adjusted price per square foot using the direct comparison method and the unadjusted price per square foot using the AHP were deemed the best value estimate in the light of available comparables. The implications of the findings suggest that AHP, as a quantitative technique, can support and validate the use of similar non-recent sale comparables when appraising investment properties with the DCA.

AHP is an alternative aid in quantitatively deciding the most significant value attribute for comparison before subjective adjustments. When intuitively applied in the DCA, these subjective adjustments almost always lead to an overvaluation of properties.

The inherent risks and their interactive impacts in megaproject development have been found in numerous cases worldwide. Although risk management standards have been recommended for the best practice in engineering construction projects, there is still a lack of systematic approaches to describing the interactions. Interactions such as social, technical, economic, ecological and political (STEEP) risks have complex and dynamic implications for megaproject construction. For a better understanding and effective management of megaprojects such as the Edinburgh Tram project, the dynamic interaction of concomitant risks must be studied.

A systems dynamic methodology was adopted following the comprehensive literature review. Documentary data were gathered from the case study on Tram Network Project in Edinburgh.

A casual loop of typical evolution of key indicators of risks was then developed. A hypothesised model of social and ecological (SE) risks was derived using the system dynamics (SD) modelling technique. The model was set up following British Standards on risk management to provide a generic tool for risk management in megaproject development. The study reveals that cost and time overruns at the developmental stage of the case project are caused mainly by the effects of interactions of risk factors from the external macro project environment on a timely basis.

This article presented a model for simulating the socio-ecological risk confronting the management and construction of megaprojects. The use of SD provided the opportunity to explain the nature of all risks, particularly the SE risks in the past stages of project development.

The construction industry represents most of every country’s finances and vital to continued economic growth and activities, especially in developing countries. The impact of the severe acute respiratory syndrome-2 disease (COVID19) on the government’s income resulted in the expectation of many public projects being cancelled or delayed providing little opportunity for the emergence of new public projects. This study collated a global qualitative perspective (survey interviews) on the lessons learned during the COVID-19 pandemic and the positive and negative impacts for future-proofing the construction sector.

In total, 76 respondents from five continents excluding South America responded to the online open-ended structured questionnaire. Data collected were analysed through artificial inteligence analytics tool – Zoho analytics.

The themes indicating the positive impact obtained from the interview were overhead cost reduction, remote working environment, focus on health and safety, improved productivity and sustainability goals while the themes signifying the negative impact were low business turnover, delays in construction payment and output, difficulties working from home and job losses. Supply chain management, construction project management improvement, concentration on health and safety and effective virtual working environment were collated as themes on lessons learned.

The major findings of this study emphasise on the need to improve the occupational health and safety and onsite safety measures for future proofing of the construction industry.

The findings from the analyses made clear the imperativeness of the built environment research, with a focus on novel framework and strategies for future proofing the construction industry.

Building information modelling (BIM) is an innovative, collaborative process underpinned by digital technologies introduced to improve project performance in the architecture, engineering and construction (AEC). Growth in industry demands has necessitated BIM inclusion into the higher education (HE) curricula as both a pedagogic and practical objective to prepare and develop aspiring built environment (BE) professionals with the required competence for contemporary practice. However, comprehension of BIM concepts and subsequent development of the skill set required for its application remains overwhelming for students. In mitigating this challenge, adopting appropriate learner-centred strategies has been advocated. Problem-based learning (PBL) is becoming a widespread strategy to address concerns associated with authentic practices.

This paper evaluates the impact of the PBL strategy on students' accelerated learning of BIM based on a case study of 53 undergraduate students in a BIM module. The network analysis and centrality measures were employed in understudying the most applicable BIM skills.

From the analyses, PBL benefits students' knowledge acquisition (cognitive and affective) of BIM concept and development of transferable skills (academic and disciplinary), equipping them with capabilities to become BIM competent and workplace ready for the AEC industry.

The BIM pedagogy evolves, and new skillsets emerge. Analytical, communications and collaboration skills remain sacrosanct to delivering BIM modules. These skills mentioned above are essential in getting undergraduate students ready to apply BIM in the AEC sector.

The challenges facing the productivity of Nigeria's refineries have generated much academic discourse. This study was carried out to develop a causal loop model showing the interrelationships of the multiple factors driving the poor performance of the refineries. Using a framework of political, economic, social and technical (PEST) factors, the developed model helped identify leverage points for policy intervention in the system.

A mixed-method approach was adopted to collect quantitative data from 118 refinery workers and qualitative data from 14 participants polled from the various Nigerian National Petroleum Corporation (NNPC) subsidiaries. The quantitative data were analysed through structural equation modelling (SEM) to prioritise the more significant factors, while the qualitative data were analysed by content analysis to further validate the questionnaire findings and provide clearer contexts for the operationalisation of the factors.

The structural equation model identified several PEST factors such as government interference, political indecision, funding issues, spare parts costs, pipeline vandalism, oil theft, maintenance issues as some of the significant factors affecting the performance of the refineries. The interviews validated these findings and provided richer contexts on how these factors operate within system. A causal loop model was developed based on these findings to identify key leverage points upon which policy intervention through best practice, management autonomy and stakeholder satisfaction was proposed to address these challenges.

The study uncovers that the factors which affect the performance of the refineries have significant multiple interrelationships, the understanding of which is crucial for developing effective solutions by policymakers.

The findings of this study lay important foundations for a deeper understanding of how PEST factors interact to drive suboptimal performance across NNPC refineries.

The causal loop model developed in this study provides a new approach to viewing and analysing the associated factors affecting the performance of Nigeria's refineries from a non-linear perspective.

Continual cost reduction of overhead costs of building projects can realign the concept of post-contract cost control towards value-driven construction projects and stakeholders’ satisfaction. This study synthesised and analysed the viable continuous improvement measures critical for waste reduction during the execution phase of a building project.

A review of existing literature facilitated a list of continuous improvement measures. This literature review findings enabled a Likert-scale questionnaire which was administered to two-hundred and fifty (250) small- and medium-scale construction companies (SMSCC) in Nigeria. Multiple linear regression statistical tests deduced the significant cost reduction measure from which a causal loop diagram was designed to indicate continuous improvement measures during the execution phase of a building project.

Cogent construction activities associated with overhead costs were deduced from the statistical tests as being payment of suppliers and sub-contractors and purchase orders. An all-inclusive casual loop model for cost reduction through waste minimisation in construction projects as a viable oriented mechanism for meeting clients' requirements was developed.

The causal loop continuous improvement model recognised external and internal factors which are crucial for SMSCC to focus on for their organisational growth and performance enhancement.

A focus on non-physical waste in construction organisations potentially addresses behavioural challenges for continuous improvement.

This study aimed to address a gap in subcontractor management by focusing on previously unexplored complexities surrounding subcontractor management in developing countries. While past studies concentrated on selection and relationships, this study delved into how effective subcontractor management impacts project success.

This study used the Bayesian Network analysis approach, through a meticulously developed questionnaire survey refined through a piloting stage involving experienced industry professionals. The survey was ultimately distributed among participants based in Accra, Ghana, resulting in a response rate of approximately 63%.

The research identified diverse components contributing to subcontractor disruptions, highlighted the necessity of a clear regulatory framework, emphasized the impact of financial and leadership assessments on performance, and underscored the crucial role of main contractors in Integrated Project and Labour Cost Management with Subcontractor Oversight and Coordination.

Previous studies have not considered the challenges subcontractors face in projects. This investigation bridges this gap from multiple perspectives, using Bayesian network analysis to enhance subcontractor management, thereby contributing to the successful completion of construction projects.