Buildings significantly contribute to global energy consumption and greenhouse gas emissions. This systematic literature review explores the potential of artificial intelegence (AI) to enhance sustainability throughout a building’s lifecycle. The review identifies AI technologies applicable to sustainable building practices, examines their influence, and analyses implementation challenges. The findings reveal AI’s capabilities in optimising energy efficiency, enabling predictive maintenance, and aiding in design simulation. Advanced machine learning algorithms facilitate data-driven analysis, while digital twins provide real-time insights for decision-making. The review also identifies barriers to AI adoption, including cost concerns, data security risks, and implementation challenges. While AI offers innovative solutions for energy optimisation and environmentally conscious practices, addressing technical and practical challenges is crucial for its successful integration in sustainable building practices.

Maturity models assess the prevailing capability level and proffer the necessary capabilities for effective adoption in a systematic roadmap. This is considered essential to achieve diffusion of the emerging technologies. The paper provides a guide to maturity model development in the digitisation era. This study adopted scientometrics and meta-synthesis to critically review and provide guidance on maturity model development. Firstly, bibliographic data was collected from the Scopus database and analysed using Scientometrics. Secondly, developed BIM maturity models were critically reviewed. The study identified areas of maturity model deployment and the industries of deployment. It also identified the present areas of deployment of maturity models. The second aspect critically reviewed selected BIM maturity models through stated parameters and outlined the necessary criteria for maturity model development. Maturity model is widely adopted to achieve optimisation and proper assessment in various industries. The study identified the industries where it is deployed and identified the areas of maturity model deployment in the digitisation era. In addition, it was observed that some existing BIM maturity models do not conform to the various requirements expected of a maturity model. The study is unique in the methods adopted to achieve its results. Also, it identified the areas of maturity model deployment. The study is helpful as it provides the criteria for maturity model development hereafter, while also helping BIM users choose among the existing BIM maturity models. The study is crucial for proper maturity model development in the digitisation era.

The widespread adoption of building information modelling in the construction industry faces significant obstacles, particularly among small and medium-sized construction enterprises. This research accessed barriers to building information modelling adoption among small and medium enterprises in the Nigerian construction industry. The study obtained quantitative data from 182 participants out of the 200 questionnaires that were distributed. A combination of descriptive and exploratory factor analysis was performed using IBM SPSS version 26, and the Kaiser–Meyer–Olkin (KMO) test and Bartlett’s sphericity test were conducted to check data adequacy and reliability. The study findings clustered five factors from the 25 identified barriers to BIM adoption in SMEs in the Nigerian construction industry. They are functionality and compatibility, risk and the unavailability of BIM resources, inadequate awareness of BIM, inadequate clients’ demands and support, and stakeholders’ skills gaps. The study recommends training opportunities for construction professionals, government facilitation through incentives, and safeguarding intellectual property linked to BIM-oriented projects. Collaboration among construction stakeholders would also increase client awareness and knowledge sharing on modern technology, such as BIM adoption in SMEs in the construction industry.

Studies have shown that culture is one of the significant elements that influence the behavior of doing things the right way, without which there is a hindrance to the attainment of set goals. It has also been stated that culture is essential to maintaining public buildings, which is significant to national development. However, the level of abandonment and deterioration of public buildings is high due to a lack of culture among stakeholders in the maintenance process. Therefore, through a literature review from over 100 recent publications, this study measured culture as a variable that influences effective maintenance management of buildings. This was carried out to enlighten maintenance managers and policymakers within the developing countries regarding the significance of maintenance culture and possible measures for improving the attitude of stakeholders on the maintenance process. It was also carried out to develop a new maintenance focus (behavioral change) for maintenance managers and policymakers, especially in developing countries, to manage the available public buildings and other proposed ones effectively.

A construction constraint is a condition that impedes progress toward meeting construction project goals. This paper seeks to assess the constraint factors affecting project performance in the South African construction industry. The study adopted a quantitative research design, and a questionnaire was designed to retrieve data from the target populations. The target population were construction professionals within the South African construction industry. One hundred and eighty questionnaires were administered to construction professionals within the study area through the purposive quota sampling technique. Retrieved data were analysed using descriptive and exploratory factor analysis. In order to determine the data reliability and the interrelatedness of the variables, Cronbach’s alpha test was carried out on each component. The results of the exploratory factor analysis show that stakeholders’ inappropriate project scheduling and coordination factors, organisation and government policies factors, and organisation and government policies factors were the leading constraints affecting construction project performance in the South African construction industry. Due to time and distance constraints, this study was limited to construction professionals in South Africa’s Free State province. The paper concluded that to reduce the construction constraints affecting construction project performance, construction professionals must improve their project scheduling, coordination, organisational policies, and managerial capacity. The paper’s findings will assist stakeholders in identifying and overcoming construction constraints in construction projects’ execution and delivery.

Purpose: A maintenance budget is an element of maintenance management (MM) that deals with financial planning for maintenance operations and execution within a maintenance organisation. Developed countries have standardised MM structures which guides maintenance activities. This, however, cannot be said of developing countries, as there are few or no MM standards adopted. Given this contextual setting, the study aims to validate the relevance of maintenance budget (MB) elements utilised in developed countries for developing countries – using Nigeria as a case study exemplar. Also, the study further examines the effectiveness of the validated maintenance budget elements.Design/methodology/approach: The research adopts qualitative techniques and employs the Delphi survey to collect and analyse primary data from an operational perception through structured questionnaires to solicit views from panellists on the subject being assessed. A relative importance index (RII) was used in measuring consensus for the Delphi study outcomes, while a Cronbach Alpha test was carried out on all the MB elements to determine their level of reliability.Findings: The key finding from the study reveals that of the 21 elements that influence the implementation of MB, 10 elements have a very high influence on the MM of buildings (VHI: 9.00–10.00), 5 elements had a high influence (HI: 7.00–8.99) and 6 other elements scored medium impact (MI: 5.00–6.99). The elements of MB that recorded very high influence on prompt MM effectiveness include MB implementation, corruption-free maintenance process, reduction in maintenance expenditure, maintenance financial plan, cost implication of maintained asset, cash flow indexing, prioritisation of maintenance financing, maintenance funding, incorporation of financial indicators and audit of operational maintenance cost.Practical implications: On a practical note, these elements will guide the built environment professionals in organising maintenance activities to best use limited resources.Originality/value: Cumulatively, the research presented shows that these elements are similar to those of other countries. Effective MM of buildings is assured when these elements are integral to developing a MB.