Advancements in the modern construction industry have contributed to the development of a range of technology-based interventions to improve the safety behavior of front-line construction workers. Notwithstanding the extensive research on safety behavior, there is still a paucity of research on assessing technology interventions of safety behavior to provide an overview of their strengths and limitations. The present study aims to bridge this gap in the literature and identify the main trends of research. A systematic review and critical content analysis are adopted to capture an overview of the state of knowledge on safety behavior technologies. As a result of searching Scopus, Web of Science, and Google Scholar databases in the period from Jan 2010 to Feb 2023, a total of 359 potential studies went through the systematic screening process and finally, 48 representative studies were selected followed by an assessment of the feasibility and applicability of the safety behavior technologies. It was found that safety behavior technology is characterized by seven technologies including virtual-reality simulation (T1), eye-tracking technology (T2), prediction modeling of safety behavior (T3), computer-based training (T4), drone/sensor-based hazard monitoring (T5), vision-based behavior monitoring (T6), and real-time positioning (T7). This research improves understanding of the status of safety behavior technologies and provides a critical review of their feasibility from the perspective of four assessment criteria including application, limitation, benefit, and feasibility. The categorizations of technologies add value to the body of knowledge in terms of generic requirements for their implementation and adaptation on construction sites.

Risk management is the key function of project-based organizations, and its ultimate objective is to create value for the corporation. In recent years, many project-based organizations have implemented project risk management systems to measure and manage all complex risks of their projects. Previous studies in project risk management were limited to designing and implementing risk management systems. Some research has been conducted about evaluating the performance of enterprise risk management systems and disaster risk management systems. But there is a research gap in evaluating the performance of project risk management system. The purpose of this research is to fill the gap by conducting an in-depth research in identifying the key performance indicators of project risk management system and offering a framework for evaluating the performance of this system. The research methodology is based on literature review and case study in a project based organization. The validity of the framework was evaluated by interviewing risk management experts and revising and incorporating their ideas. This study offers advances on the performance evaluation of a project risk management system and provides a strong theoretical basis for future researches in this field of study

Safety management research in construction is pervasive, therefore, a systematic review and a bibliometric mapping process that provides an overview of how recent mainstream research topics are conceptually structured is timely. Undertaking systematic mapping, contemporaneous with a scoping review of construction safety management research, can contribute to a better understanding of research outcomes and predominant topics. This study employed VOSviewer as a bibliometric tool to identify co-author citations, as well as the co-occurrence of key terms within the title, abstract and keywords of the articles. A total of 180 representative studies published in 21 peer-reviewed journals between January 2010 and November 2021 were analysed. A systematic literature review identified a significant focus on conceptualizing safety climate and safety behaviour with a growing interest in applying advanced technologies for improved safety management. Two perspectives were recognized in safety research, i.e. process-driven and people-driven, with the former focussing on accident causation while the latter on underlying the active role of workers’ involvement in safety outcomes. An in-depth discussion of the findings revealed seven trending research domains: safety systems; safety skills; accident causation; safety leadership and communications; safety behaviour and attitude; safety climate and culture; and practices for improving safety performance. This review identified an emerging interest in seeking effective leadership styles and psychological interventions to promote safety culture and behaviour. In terms of practical implications, this study found opportunities to address the gap between theory and practice by adopting systems thinking and using IT for improving safety performance in construction projects.

The emergence of Building Information Modelling (BIM) has revolutionized the infrastructure construction industry by introducing real-time and collaborative information management tools to be used throughout the lifecycle of projects.The importance of BIM in this industry has been emphasized in previous research. However, strategies for the implementation of this system is still less explored, which requires more elaboration and validation. The purpose of this paper is to investigate such strategies considering all necessary dimensions of the BIM system in infrastructure construction projects. The findings are based on theoretical discussion and semi-structured interviews in a case study project in New South Wales, Australia. The results revealed that BIM integrates various elements of infrastructure construction, which include but are not limited to risk, time, cost, energy, safety, and sustainability. It was found that implementation strategies should focus on improving the contribution of the BIM system to infrastructure construction in terms of improved (1) integrity and automation, (2) collaboration, and (3) optimization. Identification of seven technical and managerial implementations strategies is the core contribution of this research. These strategies provide practitioners with insight into technical and managerial measures to be taken for the successful implementation of the BIM system.

The contemporary literature emphasizes a need to delve into how project management offices (PMOs) can be effectively operated in construction organizations by embedding integrated project management rather than relying on stand-alone project controls. However, capabilities for running high-performing PMOs in this complex industry are still unknown to this growing body of knowledge, which is considered a barrier to the realization of their full potential. To address this gap, the current research explores a factor structure for core capabilities using a cross-validation method with survey data from 395 experts in general contracting organizations. The results revealed that the five-factor measurement model encompasses constructs of competent human resources and supportive culture, strategic alignment, delivery support, knowledge management, and leveraging organizational capabilities. This study extends the current literature by establishing a new measurement model explaining the dimensionality of PMO capabilities.

Today’s project management offices (PMOs) in the construction sector need to be equipped with breakthrough capabilities necessary for making a difference in multi-project management. Although there is an upward trend in academic research on PMOs, a comprehensive framework of potential success variables is still lacking in the literature. This research aims to assess the extant literature from the perspective of the construction sector to provide a single consolidated overview of potential PMO success variables. A systematic search process was adopted to retrieve publications and narrow them down to eligible studies followed by a qualitative synthesis. A set of 32 success variables was synthesized and inductively categorized under four emerging themes of (1) establishing PM infrastructure, (2) promoting PM practices, (3) PMO structuring, and (4) organizational support. This set of variables refers to three kinds of functional, structural, and contextual variables characterizing potential features of successful construction PMOs. These variables were compared between the construction industry and other industries to reflect contextual contrasts and similarities. A research agenda was proposed to encourage empirical studies on examining success variables. This study contributes to an improved understanding of PMO success variables in the construction industry and directs future research towards the most important topics.