Working at construction sites can harm individuals’ health and well-being. However, stakeholders often focus on improving health while discounting well-being. Establishing a better workplace environment can improve workplace well-being. Therefore, this study aims to investigate the factors influencing workplace well-being in infrastructure construction projects. To achieve this aim, the study objectives are to (1) identify the critical factors influencing workplace well-being in infrastructure construction projects; (2) develop an interrelationship model between underlying constructs of the factors; and (3) assess the influence of the underlying constructs on workplace well-being in infrastructure construction projects. First, a list of factors influencing workplace well-being was established using data from a systematic literature review and semi-structured interviews. Then, a survey was developed using the list of factors and distributed to infrastructure construction practitioners. In total, 124 responses were retrieved and analyzed using normalized mean analysis, exploratory factor analysis (EFA) and partial least square structural equation modeling (PLS-SEM). The analyses reveal that the critical factors include workload, salary package, the timeline of salary payment, working hours, planning of the project, insurance for construction workers, workers’ welfare and project progress. Furthermore, the underlying constructs are physical factors and psychosocial factors. Finally, both physical and psychosocial factors are found to significantly influence workplace well-being in infrastructure construction projects. Focusing solely on physical factors may not sufficiently enhance workplace well-being in construction projects, as there are also non-visible factors, such as psychosocial factors. Thus, exploring the interplay between visible and non-visible factors and their influence on workplace well-being in construction projects is crucial. Nevertheless, the findings have several limitations, including using data from a single country and non-hands-on construction practitioners, as well as the underlying constructs being derived solely using statistical methods. Still, the study is original in its focus on modeling the relationship between the factors influencing workplace well-being within the context of infrastructure construction projects. In other words, this study differs from prior research by specifically modeling the factors that influence well-being in infrastructure construction projects.

Preserving heritage buildings presents unique challenges in building conservation, demanding a comprehensive understanding of issues and strategic measures for long-term sustainability. The aims of this paper is to analyze the interrelationships among these organizations. The paper utilizes Cronbach's alpha reliability test, normalized mean ranking, overlap analysis, Kruskal-Wallis test, and Spearman's rank correlation for systematic data analysis. The findings of this paper will provide practical insights for organizational practitioners in identifying critical challenges and opportunities when preserving heritage building with Building Information Modelling (BIM). The paper illuminates both similarities and differences in preservation difficulties and approaches among organizations, offering profound insights into sectoral connections within the construction industry. Beyond addressing critical problems in building maintenance, this document serves as a guide for organizations navigating and overcoming hurdles in conserving heritage structures. The research outcomes offer strategic insights, promoting the development of a post-project maintenance-oriented culture. Ultimately, this contributes to enhancing the durability, efficiency, and cost-effectiveness of cultural structures in both public and private sectors.

The impact of flooding requires innovative solutions for enhancing flood preparedness and reducing societal and economic losses. This study explores the potential of digital twin technology as an innovative tool for flood predictions, enabling real-time monitoring and data integration, contributing to developing more resilient communities and reducing flood risks. This study aims to enhance coastal flood resilience in Malaysia by examining challenges and strategies by applying digital twin technology. The objectives of the study are (1) to identify issues and countermeasures of flood in coastal areas (2) to compare the most relevant issues and countermeasures of flood in the coastal area for different organizations for application in digital twin technology and (3) to analyses the interrelationship among organization for application in digital twin technology in Malaysia. The survey gathered collaboration data from 122 participants, comprising clients, consultants, and contractors. Finally, the data were analysed using each criterion's mean score ranking, normalization techniques, Kruskal-Wallis's, spearman correlation, and overlap analysis. The top 4 critical issues are F05, F07, F06, and F02. The high cost of implementation due to the increased amount of sensor and computational resources needed is considered the most critical. While for the top 3 countermeasures are S04, S06, and S07. Improved planning and prediction for floods are considered the highest rank among the countermeasures. The findings of this study will provide practical insights for organizational practitioners in identifying critical elements and countermeasures when implementing digital twin technology in Malaysia. Future industry studies can build on the strong foundation laid by this research, deepening the understanding of digital twin applications in flood management and risk reduction.