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This study aims at introducing a method based on the failure mode, effects and criticality analysis (FMECA) to aid in selecting the most suitable formwork system with the minimum overall cost.

The research includes a review of the literature around formwork selection and analysis of data collected from the building construction industry to understand material failure modes. An FMECA-based model that estimates the total cost of a formwork system is developed by conducting a two-phased semi-structured interview and regression and statistical analyses. The model comprises material, manpower and failure mode costs. A case study of fifteen buildings is analysed using data collected from construction projects in the UAE to validate the model.

Results obtained indicate an average accuracy of 89% in predicting the total formwork cost using the proposed method. Moreover, results show that the costs incurred by failure modes account for 11% of the total cost on average.

The analysis is limited to direct costs and costs associated with risks; other costs and risk factors are excluded. The proposed framework serves as a guide to construction project managers to enhance decision-making by addressing the indirect cost of failure modes.

The research proposes a novel formwork system selection method that improves upon the subjective conventional selection process by incorporating the risks and uncertainties associated with the failure modes of formwork systems into the decision-making process.

Construction and Demolition (C&D) Waste Management (WM) poses significant challenges in Sri Lanka, contributing to environmental degradation and resource depletion. To address these issues, this study explores the application of Circular Economy (CE) strategies in minimising waste generation and optimising resource utilisation in Sri Lankan construction industry. The research focuses on the construction and building renovation and use and operate stages of the building project life cycle, recognising their significance in waste generation and resource consumption.

The research employed a qualitative approach, utilising the Delphi technique through three rounds of expert interviews. Seventeen experts were involved in the first round, followed by fifteen in the second round, and twelve in the final round. The collected data was analysed using manual content analysis methods.

The research findings revealed fifteen C&D WM issues in the construction and building renovation stage in Sri Lanka, along with suitable strategies to overcome each of them. Similarly, eight C&D WM issues were identified for the use and operate stage of the building, and corresponding strategies were provided to address each issue. By adopting CE strategies such as modular design and material reuse, construction projects can optimise the project's timeline, cost, and quality factors. These strategies enable efficient resource allocation, reduce waste generation, and contribute to the overall sustainability of the project. The impact of CE strategies on mitigating these issues within the project management iron triangle was also discussed.

This paper entails delving into how construction, building renovation, and operation stages of a building's life cycle intersect with CE strategies, which profoundly influence operational efficiency and long-term sustainability. By incorporating principles such as energy efficiency, water conservation, and circular product design, the paper illuminates how these strategies facilitate decreased energy usage, enhanced resource management, and diminished waste production throughout the building's lifespan.

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.

The purpose of this study is to get a clearer knowledge of the reasons for, approaches to and challenges associated with integrating sustainable development concerns into pipeline construction projects in New Zealand. To achieve this, this study delves deeply into sustainable construction to understand the reasons behind and incorporate sustainable development trials into their newly established product management and development procedure. As a result, this study looks at identifying key elements of sustainable construction practices and various interpretations of sustainability in the construction industry; offering a strategy for incorporating sustainable construction practices into the pipeline construction project in New Zealand; and benefits and difficulties that the construction industry encounters when implementing sustainable construction. Finally, a framework is developed to help in understanding the issues and potential solutions for integrating sustainable building methods into the pipeline construction project in New Zealand.

This study followed a four-step method (Figure 1), beginning with the identification of the data, continuing with the first screening of the data, determining eligibility and, finally, including the data. This data collection is being done to provide knowledge and direction for further research. Data were collected from various websites on the Web of Science and from Scopus databases. Additionally, data were gathered with the assistance of aggregator databases such as Scopus (scopus.com) and publishing databases such as Elsevier (sciencedirect.com), Inderscience, Taylor and Francis (tandfonline.com), Emerald Insight (emeraldinsight.com) and Google Scholar. These databases have been considered by a number of scholars to be reputable databases.

This research provided a thorough description of the key justifications for sustainable construction. This study demonstrated how the idea worked in practice by reviewing the literature on the relevance and analysis of sustainability in construction. This body of research identified crucial components of sustainable construction techniques and varied interpretations of sustainability in the construction industry. To better grasp the current application considerations in the construction sector, it also offered literature on sustainable construction methods. To determine the most effective strategy to make certain adjustments to the current construction processes, the literature also includes a wide range of sustainability-related topics in both developed and developing country contexts. This study also demonstrated the many perspectives and strategies for sustainable behaviors. Because the purpose of this study was to develop a strategy for implementing sustainable construction in New Zealand, it was of the utmost importance to shed light on the most well-known and prominent sustainable construction applications from across the world. The output of this aim provided the literature on construction practices to acquire insight into the ongoing conversations on sustainable practices and systems in the construction industry. This was done to obtain insight into the existing talks.

This research's contribution to the body of knowledge is demonstrated by the fact that this study has led to a better understanding of sustainable construction practices in the construction industry as well as the identification of the most significant challenges that businesses, organizations, educators and policymakers must face to improve their ability to put these strategies into practice. This research has provided a solid foundation for future research that aims to advance knowledge in this field by providing options for future research to evaluate the influence that the approach has had on enhancing the implementation of sustainable construction. Additionally, this study presents options for future research to evaluate the influence the approach has had on improving the implementation of sustainable construction. The successful completion of the research aim in the more traditional forms of higher education in the built environment can contribute to a better representation of new trends in the practice area associated with expanding and improving the construction industry sustainably.

The mega railway infrastructure projects are faced with complex environments and multi-level management challenges. Thus, the mega railway infrastructure project management system not only needs to focus on its composition, but also needs to consider changes and impacts of internal and external environment.

This study attempts to introduce the concept of dissipative structure from the perspective of complexity theory and constructs a positive entropy and negentropy flow index system for mega railway infrastructure project management system in order to analyze the factors of management system more deeply. The Brusselator model is used to construct the structure of the mega railway infrastructure project management system, and the entropy method is used to calculate the positive entropy and negentropy values to verify whether the management system is a dissipative structure.

A plateau railway project in China was used as an example for an empirical study, not only its own characteristics are analyzed, but also the role of constraints and facilitation of the internal and external environment. Based on the research results, several effective suggestions are put forward to improve the stability and work efficiency of mega railway infrastructure project management system.

This study demonstrates that mega railway infrastructure project management system has the characteristics of dissipative structure. It can provide theoretical support for the development of mega railway infrastructure project management system from disorderly state to orderly state.

Building information modelling (BIM) has been established in the literature as a successful platform that creates an intelligent virtual model for processing data from conceptual design through construction to operational stage of a facility. However, its adoption for facilities management (FM) provision in Nigeria has been slow due to inherent barriers. The aim of this paper is to (1) assess and categorise using factor analysis BIM for FM barriers and (2) model the barriers using stakeholders' personal/professional attributes.

Anchored on quantitative research design, 205 copies of structured questionnaire were distributed to key stakeholders and facilities managers in Nigeria's three strategic cities while 135 valid responses were received giving a response rate of 65.8%. Data collected were analysed using descriptive statistics while multiple regression analysis was used to model the barriers. Kruskal Wallis test was used to test the only hypothesis postulated for the study.

The study established lack of awareness of BIM for FM, poor supporting infrastructure for Internet services, and lack of education and training as the top three rated barriers militating against adoption of BIM for FM in Nigeria while corruption, widespread mistakes and errors and cultural issues were established as the three least rated barriers. Besides, findings also established eight underlying factors that explained 23 barrier factors used for the study which were subsequently used to develop eight regression models. In effect, gender, professional affiliation, organisation, experience, education, expertise, BIM for FM project type, and location were found to statistically predict the 8 extracted factors driving perceived barriers of BIM for FM adoption in Nigeria.

The study has provided a framework of barrier factors to help stakeholders identify specific barriers for which appropriate measures can be taken to ameliorate consequences of the perceived barriers. Meanwhile, an improved and rejuvenated advocacy on inherent benefits of BIM for facilities management by frontline stakeholders could potentially steer up interests and increased participation of stakeholders on BIM for FM.

The unique study developed the first ever regression model that links BIM for FM barriers to professional attributes of facilities management stakeholders in Nigeria.

In recent times, there has been a lot of research focused on performance measurement (PM) in project-based sectors. However, there are very few studies that were reported on the significance of PM in the construction sector. Keeping track of an organization in achieving organizations goals and objectives seems an important way. One of the major challenges faced by the industry is unavailable of an appropriate PM system for assessing organizational performance. Most of the PM approaches consider the traditional project triangle assessment of project success. Based on the limitations identified in existing PM models, the purpose of this paper is to develop a comprehensive PM model, i.e. Modified Project Quarter Back Rating (MPQR) applicable for construction projects.

A detailed list of performance areas as a method for PM is analyzed in the construction industry context. Also, industry-specific professionals conducted semi-structured interviews to assess whether these performance areas are sufficient to measure and understand the PM systems.

The research finding focuses on developing the MPQR model that considers both financial and non-financial areas for performance assessment to provide a holistic assessment of project performance.

MPQR model provides an opportunity to set the benchmark for overall performance for construction organizations.

The findings of the study are expected to provide guidelines to construction professionals for implementing the performance model that will improve performance in the construction industry.

This study aims to unveil the impact of strategic renewal and its implications on employment during the COVID-19 pandemic. It explores the role of strategic renewal in mitigating the adverse effects of crises, fostering organizational adaptation and restructuring capabilities. Additionally, it examines the moderating effect of familiness on understanding the strategic renewal process and its importance to family firms during times of crisis.

The study utilizes data from the STEP Project Global Consortium, which collected information from 3,026 family firms operating in 75 countries and various sectors during the pandemic. Structural Equation Modeling was employed to test the authors' research hypotheses.

The authors' results reveal that strategic renewal significantly impacted employment growth during the COVID-19 pandemic of family firms. Strategic renewal plays a crucial role in mitigating the negative effects of that crisis on employment by helping firms adapt and restructure their capabilities. The study also found that synergies among family members positively influenced innovation in organizational resilience and enhanced the positive effects of strategic renewal on employment growth.

This study contributes to the literature by emphasizing the importance of strategic renewal of family businesses during the COVID-19 pandemic. It offers insights into mitigating vulnerability risks amidst crises and adds to the understanding of the strategic renewal process and its implications for the organizations. The findings hold theoretical implications for the field of strategic management and provide valuable insights into the unique challenges and opportunities faced by family firms in uncertain environments.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2022-0771

Using Nigeria, as a point of reference, this study aims to explore the applicability of climatic variables as analytically valid factors for conceptual cost estimation. This is in view of the vastness and topographical alignment of Nigeria's landmass, which makes it a country of extreme climatic variability from north to south. As construction costs in Nigeria, similarly, tend to show a north-south alignment, the study's objective is to establish cost-estimating relationships (CERs) between the variability of climatic elements and the variance in construction cost, to arouse interest in the concept.

Deploying correlation analysis and multiple regression analysis, significant associations/relationships between meteorological variables and building cost for selected locations, following a North-South transect of the major climatic zones, are sought, to explain climate-induced construction cost variance. Validation of the regression model was carried out using variance analysis and the Mean Absolute Percentage Error of a different dataset.

Climatic indices of atmospheric moisture exhibited strong direct and partial correlations with construction costs, while sunshine hours and temperature were inversely correlated. The study further establishes statistically significant CERs between climatic variables and building cost in Nigeria, which accounted for 47.9% of the variance in construction cost across the climatic zones.

The study outcome provides a statistically valid platform for the development of more elaborate analytical costing models, for prototype buildings to be cited in disparate climatic settings.

This study establishes the statistical validity of climatic variables in constituting CERs for predicting construction costs in disparate climatic settings.

This study aims to (1) develop a structural equation model in understanding the relationships between corporate social responsibility (CSR) performance and contractor competitiveness and (2) test the moderating effect of firm sizes on this relationship.

A literature review showed an urgent need to investigate the relationship between CSR implementation and contractor competitiveness holistically. CSR and contractor competitiveness variables were identified through the literature review and discussions with experienced professionals. Using a survey questionnaire, a total of 252 completed questionnaires were received. A structural equation modeling technique was then applied to analyze the data collected. Multigroup analysis was employed to test the moderating effect of firm sizes on the relationship between CSR implementation and contractor competitiveness.

The results indicated a strong relationship between CSR implementation and contractor competitiveness. This relationship is not moderated by firm size.

This research is one of the first studies to holistically explore the linkages between CSR implementation and contractor competitiveness. The findings can be served as a solid foundation to promote CSR performance in construction firms. Contractors of different sizes are suggested to implement CSR activities to foster competitiveness.