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This study aims to evaluate the perception of the local experts and end users on the drivers, barriers and strategies to the use of alternative building technologies (ABTs), with a focus on sandbag building technologies (SBTs) in the provision of sustainable housing in South Africa towards improving the public's understanding of SBTs.

This research adopted a qualitative approach that used focus group meetings as the primary data collection method for this study. This study's focus group participants comprised ABT experts and end users of ABT houses in South Africa who were selected using a convenient sampling technique. The data were recorded, transcribed verbatim and analysed using NVivo 11 software.

This study found that the perceived drivers to using ABTs such as SBT comprise sustainability, affordability, job creation potentials, fire-resistant and earthquake resistance. This study revealed strategies for the SBTs, including awareness, building sandbag prototypes across cities and training.

This study's findings have practical implications for the practice and praxis of ABT implementation and uptake in South Africa. This study provides a framework for broadening the worldwide understanding of use and uptake of SBTs to provide sustainable and affordable housing.

This study adds significantly to the limited body of knowledge on ABTs, focusing on sandbag houses. Consequently, the findings provide policymakers with information on the expert and end-user perspectives on the barriers and strategies to using ABTs.

The deployment of solar photovoltaic (PV) in higher education institutions is beneficial and critical for attaining sustainable campus goals. However, various barriers hamper the adoption of the technology, and unless these challenges are identified, formulating tailor made solutions to boost deployment will be challenging. Thus, this study aimed to identify the barriers to the deployment of PV in the public university sector in South Africa.

A critical review of the literature was conducted to identify the factors that negatively impact PV deployment. By screening the barriers identified from the literature using a conceptual framework, the barriers that were considered relevant to deployment within a university context were selected. Thereafter, the selected barriers and additional barriers recommended by panellists were verified through a three-round Delphi survey. The factors were either accepted or rejected as barriers in the sector based on the factors' mean score and interquartile range values.

The study observed that 12 barriers hamper PV deployment in the public university sector. The findings indicated that the top five barriers were the lack of incentives, lack of green building targets, lack of financial resources, high initial cost, and lack of clear policy direction. However, the study found that deployment was not hindered because there was resistance to change or uncertainty of recouping investment costs. The deployment was also not hindered because there was a lack of demand from electricity end-users or a lack of suitable installation space.

Given the lack of empirical studies on the subject in the region, the present study contributes to the body of knowledge by identifying the significant barriers that impede PV deployment in the public university sector. Furthermore, insight is provided on measures that relevant stakeholders can take to motivate and support universities to deploy the technology further.

Amid rapid technological progress, the construction industry is embracing Construction 4.0, redefining work practices through emerging technologies. However, the implications of Construction 4.0 technologies to enhancing well-being are still poorly understood. Particularly, the challenge lies in selecting technologies that critically contribute to well-being enhancement. Therefore, this study aims to evaluate the implications of Construction 4.0 technologies to enhancing well-being.

A list of Construction 4.0 technologies was identified from a national strategic plan on Construction 4.0, using Malaysia as a case study. Fourteen construction industry experts were selected to evaluate the implications of Construction 4.0 technologies on well-being using fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The expert judgment was measured using linguistic variables that were transformed into fuzzy values. Then, the collected data was analyzed using the following analyses: fuzzy TOPSIS, Pareto, normalization, sensitivity, ranking performance and correlation.

Six Construction 4.0 technologies are critical to enhancing well-being: cloud & real-time collaboration, big data & predictive analytics, Internet of Things, building information modeling, autonomous construction and augmented reality & virtualization. In addition, artificial intelligence and advanced building materials are recommended to be implemented simultaneously as a very strong correlation exists between them.

The novelty of this study lies in a comprehensive understanding of the implications of Construction 4.0 technologies to enhancing well-being. The findings can assist researchers, industry practitioners and policymakers in making well-informed decisions to select Construction 4.0 technologies when targeting the enhancement of the overall well-being of the local construction industry.

The purpose of this study is to investigate the influences of the characteristics of procurement strategies, in this instance labour-only, on project performance concerning health and safety (H&S), a project performance indicator.

Using non-probability purposeful and snowballing sampling methods, questionnaires were used to collect data from construction professionals in Nigeria. This was then analysed using descriptive (frequency and mean scores) and inferential statistics (Mann–Whitney-U and Kendall's Tau_b tests).

The findings indicate a statistically significant negative correlation between ‘the level of client involvement and ‘fatalities' and a positive one with ‘conducting of health and safety risk assessment' and ‘conducting employee surveys on health and safety attitude’. Poor hygiene is found to be the worst lagging indicator, while conducting of inspection is the most adopted leading indicator of project health and safety performance. It also emerged that there is no significant difference in the health and safety performance of projects procured through the procurement strategy in urban and rural areas.

The study provides valuable insight into the complexities in H&S management due to the high level of client involvement in labour-only procurement system (LoPS) projects and the level of diversity in their responsibilities therein. It creates a fundamental direction for developing a detailed framework or guidance notes for client involvement in the integration of H&S into LoPS projects.

This is the first study that examines the influence of the characteristics of procurement strategy on project health and safety performance. Evidence in the literature shows that project delivery outcomes significantly improve if procurement is strategically used, including when it is considered early in projects. However, integrating H&S into procurement strategies has received little attention.

The delay in real estate projects in India is pervasive. Organization and management (O&M) and project management (PM)-related challenges are argued to contribute to project delays. This study examined the O&M and PM factors that cause delays, the level of implementation of various O&M and PM aspects in real estate projects and how the challenges can be alleviated.

Perception surveys among the consumers and relevant stakeholders engaged in real estate projects in the Bhubaneswar and Cuttack regions of India were conducted to collect data on the factors of delay and implementation of the O&M and PM aspects. Relevant statistical methods and structural equation modeling (SEM) were used for data analysis.

Findings suggest that from the O&M point of view, poor decision-making, mishandling of finance, concurrent execution of many projects, diversion and misuse of finance for unrelated activities, lack of PM personnel and poor management contribute to the delay. Further, although the project initiation is satisfactorily done, most of the PM principles are not largely used, thus leading to delay.

The study does have limitations, including its reliance on a perception survey of consumers and stakeholders, a limited sample size and a restricted number of projects. Nevertheless, the study highlights the need to address poor O&M and the insufficient application of PM principles to combat project delays in the Indian real estate sector.

Proper O&M and adequate application of PM will enable professional management of the projects and avoid delay.

Proper O&M and the application of adequate PM would reduce delays in real estate projects. Consequently, conflicts between the companies and consumers might be reduced and housing and infrastructure demands might be met.

The study manifested that the lack of adequate implementation of O&M and PM aspects leads to delays. So, it is theorized that O&M and PM play critical roles in the success of real estate projects. Appropriate implementation of the principles and best practices linked to these aspects might alleviate the challenges of delay in real estate projects in India.

The lack of knowledge has hindered the successful implementation of lean in the construction industry. This has alarmed the need for lean learning practices. Out of numerous models, the learning-to-learn sand cone model received a wider acknowledgment for learning practices. Thus, this study aims to propose a learning-to-learn sand cone model integrated lean learning framework for the construction industry.

The research adopted an interpretivism stance. A qualitative research approach was adopted for the study. Consequently, fifteen (15) semi-structured interviews and document reviews were carried out to collect data in three (3) cases selected through purposive sampling. Code-based content analysis was used to analyse the data.

Fifty-two (52) sub-activities pertaining to nine lean learners at each stage of the lean learning procedure were identified. The most significant practices in the lean learning procedure to continuously improve lean learning in the organisation were maintaining records, providing a performance update to senior management and preparing and distributing several hierarchical manuals for all levels of staff to aid in the implementation of lean approaches.

The findings of the research can be aided to successfully implement lean by following the identified sub-activities via various parties within the organisation. The proposed lean learning framework opens several research areas on lean learning in the construction industry. This is the first research to uncover a lean learning framework in the construction industry rather than at the educational institute level.

Recent studies on construction supply chain management (CSCM) evaluated its vulnerability and challenging factors, but studies that have identified and examined the possible corrective measures of CSCM are rare. This study sets out to bridge this gap by identifying and evaluating the most effective CSCM corrective measures that will benefit the global construction industry.

A methodology was designed to obtain the corrective measures of CSCM. Data were collected from 68 experts who served as research participants in this study, through a questionnaire survey and were analyzed statistically using the severity index analysis, Mann–Whitney test and factor analysis which includes KMO and Barlett's test, commonalities, total variance pattern matrix.

The findings of the study revealed that free exchange of information between parties from both suppliers and site/firm is the best CSCM corrective measures, according to the research participant's opinion using the severity index analysis. Further analysis revealed seven underlying factors of CSCM corrective measures.

The findings of this study have identified the most critical solutions to the lapses of CSCM. These will serve as adequate corrective measures to the challenges of CSCM and benefit the global construction industry.

This study contributed seven underlying factors of CSCM corrective measures which can be adopted as adequate corrective measures to the lapses of CSCM. The study further contributed to CSCM research theory.

Sustainable construction practices are strongly correlated with a profitable and competitive construction industry, improved client satisfaction and efficient use of resources. However, due consideration is not being given to sustainable construction practices in Nigeria. Therefore, this study aims to identify the unsustainable construction practices on construction sites, the barriers to sustainable construction and possible strategies to improve sustainable construction in Nigeria.

A questionnaire survey of 50 construction sites was conducted with construction professionals on the sites as the specific target, out of which only 43 construction sites have at least a construction professional present at the site. Forty-three filled questionnaires from the respondents were used for descriptive (mean score, standard deviation and charts) and inferential analysis (t-test and Kruskal–Wallis) in this study.

The study shows that a large percentage (75%) of construction professionals in Nigeria are aware of sustainable construction. The descriptive and inferential analysis showed a disparity in the ranking of the 12 unsustainable practices, 14 barriers and 11 strategies among the respondents. Five unsustainable practices (“negative externalities”, “excess energy”, “unsustainable technologies”, “non-management of health and safety of workers” and “material waste”), six barriers to sustainable construction (“absence of historical data and exemplary projects on which construction professionals can build and learn from”, “lack of professional to handle the task”, “poverty and low urban investment”, “lack of urban and construction policy”, “lack of awareness” and “lack of technical know-how”) and three strategies to improve sustainable construction practices in Nigeria (“cooperation, partnership and participation”, “protection of biodiversity and conservation of natural resources” and “sustainability assessment system”) were found to be significant.

The study offers significant insights into the construction industry unsustainable practices, barriers to sustainable construction, as well as strategies for improving sustainable construction practices. These insights can be applied to other developing countries with an emphasis on geographical differences.

To the best of the authors’ knowledge, this is one of the recent studies in Nigeria that explored the context of sustainable construction in the construction industry by providing insights into the unsustainable construction practices, barriers and strategies to improve sustainable construction in Nigeria.

International construction joint ventures (ICJVs) will fully realize their potential for success and effectively monitor performance when an adequate and suitable performance benchmark is established. However, existing studies fall short of adequately providing a mutually acceptable benchmark for assessing the performance of ICJVs. This study aims to develop an adequate and suitable performance measurement framework for ICJVs.

A twofold structured questionnaire survey, supplemented by semi-structured interviews, was used to collect data from the practitioners of ICJVs hosted in the developing country of Ghana. The data were analyzed by using descriptive statistics, confirmatory factor analysis (CFA) and a hybrid-fuzzy logic approach.

A list of 30 performance indicators (PIs), defined by project performance, perceived satisfaction, company/partner performance, socio-environmental performance and performance of ICJV management, was validated and proved to be significant. Only 22 out of the 30 PIs, focusing on project efficiency, societal improvement and organizational goals are realized by the ICJV practitioners. Further, suitable determinants and viable quantitative ranges for measuring each PI are established to prevent different interpretations of the meanings of PIs and objectively express the level of success in quantitative terms. The results call for further investigation of the convergence between the practice of and research into some PIs (e.g. socio-environmental performance) and a range of different performance levels (PLs) in a more scientific manner.

This study not only advances the knowledge base and practice of performance measurement in ICJVs but could also assist stakeholders and decision-makers to assess, compare and monitor the performance of different ICJV projects on common grounds objectively.

This study not only comprehensively assessed PIs – what to measure – but also systematically determined suitable determinants – how to measure – for each PI.

The pupose of this study is to systematically review the current literature on the value stream mapping (VSM) application in the construction industry to investigate the evolution observed over time and the results obtained by adopting this tool. In addition, special attention was given to the potential of VSM in identifying loss and waste, as well as their main causes.

The study analyses papers in literature using Preferred Reporting Items for Systematic Reviews and Meta-Analyses research protocol. As a result, 383 papers were initially identified, and 47 papers were selected.

It was observed that the number of studies addressing this topic has been increasing over the past decade and findings related to the evolution, application and the benefits obtained from the VSM application in context of construction were presented. Additionally, the authors found that the two most cited lean wastes were waiting and defects in the production chain. The main causes of this waste and loss were also identified in this work.

This paper contributes by presenting the applicability of VSM as a tool in the construction as found in the literature. For academics, it will be possible to clearly observe research gaps and for industry managers, to identify the main sources of waste and assess the performance of the tool’s application.

The study uses a systematic review to analyze the application of the VSM tool in the construction industry and provides guidance for future research by identifying research gaps, in addition to conducting an extensive analysis of the tool’s potential in waste identification in the studied papers and their primary causes.