A safe work environment is crucial in high-risk industries, such as construction refurbishment. Safety incidents caused by uncertainty and unexpected events in construction refurbishment systems are difficult to control using conventional safety management techniques. Resilience engineering (RE) is proposed as an alternative to traditional safety management approaches. It presents a successful safety management methodology designed to deal with uncertainty in high-risk work environments. Despite the fact that RE resides in the safety domain, there is no common set of RE indicators to measure and assess resilient in the work environment. The main aim of this research is to explore RE indicators that have been identified as important in developing and assessing the resilient work environment in high-risk industries, particularly in construction refurbishment. Indicators have been attained through a systematic literature review of research and scholarly articles published between the years 2004 and 2019. The literature review explored RE indicators in various industries. Descriptive analysis and co–occurrence-based network visualization were used for data analysis. The findings revealed 28 RE indicators in 11 different high-risk industries. The results show that the four commonly used indicators were: top-management commitment, awareness, learning, and flexibility, all of which have a strong relationship with RE. The findings of this study are useful for stakeholders when making decisions concerning the most important RE indicators in the context of their research or practice as this would avoid the ambiguity and disparity in the identification of RE indicators.

Previous research has enabled construction professionals to consider appropriate mental health interventions for improved mental health outcomes. However, the heterogeneity of such interventions in contemporary studies makes it difficult for practitioners to keep up to date with relevant alternatives. Thus, the aim of this research is to critically analyse mental health risk factors and identify strategies intended to mitigate risks and promote employees’ mental health in the construction industry. A Systematic Literature Review (SLR) was employed following PRISMA guidelines, and 58 articles that met the inclusion criteria were selected for data synthesis. In total, 100 risk factors and 76 preventive strategies were extracted and clustered into a taxonomy consisting of an individual level, workgroup level and organisational level. Strategies were further evaluated based on the type of prevention and financial significance. A critical content analysis of selected studies can suggest recommendations for future research, including the gap in mental health studies in the construction industry as well as the need for empirical research emphasis on generic forms of risks and strategies to cover more individual (e.g., age, profession), workgroup (e.g., team, trade, project) and organisational (e.g., culture, policy) factors that appropriately fit into construction workplace settings. The findings herein can broaden the mental health knowledge of industry practitioners, and could assist in mental health-related decision-making by developing best practices for boosting the mental wellbeing of the construction workforce.

Project uncertainty is an inherent attribute in safety-critical projects, such as building refurbishment. While it has been suggested that project safety performance is often challenged due to project uncertainty, uncertainties are yet to be conceptualised in building refurbishment projects. The purpose of this research is to propose an industry-specific factor model of project uncertainty that can be used to diagnose and assess uncertainty in construction refurbishment research and practice. An extensive review of existing literature, following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, where 53 articles were selected to identify the determinants of project uncertainty and strategies for managing uncertainty. In total, 23 project uncertainty factors were identified and clustered under the taxonomy of uncertain information, uncertain complexity, uncertain temporal clarity, and uncertain understanding. Thus, 12 management strategies for coping with uncertainty in building refurbishment projects were determined. Learning and a flexible working environment were the most frequently raised strategies among all the reviewed articles. The factor model proposed enables project managers and academics to better understand, assess and manage project uncertainty and deliver safer building refurbishment projects. As such, it also provides a sufficient platform and initiates debate towards the development of uncertainty management strategies to better prepare for surprises as projects progress.

Purpose: Construction projects in the real estate sector are important for a nation’s economic growth. However, owing to several constraints and stereotypes, the construction industry is suffering from major capital losses. A review of recent literature revealed that risks occurring in real estate construction projects (RECPs) carried out in developing economies can be divided into four categories, i.e. financial risks, design risks, execution risks and sociopolitical risks. This study aims to identify the critical factors that lead to these risk categories and develop a control structure for RECPs. Design/methodology/approach: A quantitative method, i.e. a questionnaire-based survey, was used for this study. Using a random sampling technique the questionnaire was distributed to selected, highly experienced project managers. To determine whether the factors identified as part of the literature review strongly influence the categories, the factor analysis of the observations was performed. Findings: The observations made in this study lead to the identification of six critical risk causing factors, i.e. lack of efficient planning, execution constraints, external constraints, client-induced constraints, project constraints and partner experience. The observations indicated a lack of knowledge of project management, organizational culture and a claims redressal mechanism in RECPs. Also, this study recommends a blockchain-based control structure to control the occurrence of the risk causing factors identified. Originality/value: This study recommends a blockchain-based control structure for controlling the risks occurring.

Purpose: Many work-related factors particularly affect the mental well-being of young construction workers and subsequently affect their productivity at work. Young construction workers in South Australia are more vulnerable than other workers because they consider the distress arising from work-related factors to be part of adapting to a new work life. Therefore, this study seeks to draw out the work-related factors that affect the mental well-being of young construction workers. Design/methodology/approach: The study employed a sequential mixed method approach including a preliminary qualitative case study and a quantitative survey. Around 20 interviews across two organisations were conducted in the initial case study and content analysis was used to contextualise the factors and identify new factors. Then, the outcome of the case study was fed into a questionnaire survey for further analysis. The survey received 43 valid responses. Principal component analysis (PCA) was performed on the survey outcome to assess and categorise the work-related factors. Findings: The findings indicate ten prominent work-related factors contributing to poor mental well-being of young construction workers related to three main categories of factors, namely “nature of work”, “task-related stress” and “unsupportive behaviour”. The work-related factors that have the greatest impact on mental well-being are the machoism culture of industry, work overload and workplace bullying. Originality/value: The outcome from this study enhances the understanding of key work-related factors affecting the mental well-being of young construction workers. Research findings would also help inform the development of clear, industry-informed initiatives tailored to protect and support young construction workers.