Accidents are more prevalent in the construction industry compared to other economic sectors. Therefore, understanding the benefits of occupational health and safety management systems (OHSMSs) in terms of their sustainable implementation, management and performance, as well as the awareness of OHMSs and barriers to their implementation, are important for improving OHSMSs in the sustainability of the construction industry. Although there is considerable research on OHSMSs, further assessments are needed concerning other aspects of OHSMSs, particularly the benefits of OHSMSs. Thus, this review paper summarises the empirical state of the art of OHSMS activities. Scopus, Web of Science and other databases were searched using predefined standards. The query was limited to articles published from 1999 to 2023. Consequently, one hundred and four articles were selected and analysed. These articles present analyses of OHSMSs and their potential benefits concerning the implementation of OHSMSs and management, performance, awareness, and barriers in relation to OHSMSs. The results reveal that 12.50% of the reviewed studies assessed the implementation of OHSMSs in the construction industry, and 25.96% studied the management of OHSMSs. Analyses of the performance of OHSMSs in the construction industry accounted for 8.65%, analyses of the awareness of OHSMSs accounted for 4.81%, model-related analyses accounted for 13.46%, studies on the significance/benefits of OHSMSs accounted for 3.85%, studies on the barriers/challenges associated with OHSMSs accounted for 5.77%, analyses on the safety indicators of OHSMSs accounted for 2.88% and other types of studies accounted for 20.19%. This study further reveals that the implementation of OHSMSs is characterised by a dearth of proper communication, the non-utilisation of personal protective equipment (PPE), wrong postures and work activities, a dearth of training, physiological factors including burnout and stress, and a dearth of safety culture and orientation; in addition, matters relating to compliance with effective laws are significant safety challenges in the construction industry. However, the rationality for evaluating the benefits of OHSMSs, comprising their implementation, management and performance, as well as awareness of and barriers to OHSMSs, is challenging to authenticate because appropriate field, survey, organisational and clinical data concerning incident occurrences in the construction industry are lacking for comprehensive evaluations. Thus, this novel study presents our effort to narrow this gap by establishing a framework for increasing our understanding of the benefits of implementing OHSMSs and accident reduction.

Sustainable solutions in the building construction industry have emerged as a new method for retrofitting applications in the last two decades. Fiber-reinforced polymers (FRPs) have garnered much attention among researchers for improving reinforced concrete (RC) structures. The existing design guidelines for FRP-strengthened RC members were developed using empirical methods that are based on specific databases, limiting the accuracy of the predicted results. Therefore, the use of innovative and efficient prediction tools to predict the behavior of FRP-strengthened RC members has become essential. During the last few years, efforts have been progressively focused on the use of machine learning (ML) as a feasible and effective technique for solving various structural engineering problems. Its capability to predict the behavior of complex nonlinear structural systems while considering a wide range of parameters offers a distinctive opportunity to make the behavior of RC members more predictable and accurate. This paper aims to evaluate the current state of using various ML algorithms in RC members strengthened with FRP to enable researchers to determine the capabilities of current solutions as well as to find research gaps to carry out more research to bridge revealed knowledge and practice gaps. Scopus databases were searched using predefined standards. The search revealed ninety-six articles published between 2016 and 2023. Consequently, these articles were analyzed for ML applications in the field of FRP retrofitting, including flexural and shear strengthening of RC beams, flexural strengthening of slabs, confinement and compressive strength of columns, and FRP bond strength. The results reveal that 32% of the reviewed studies focused on the application of ML techniques to the flexural and shear strengthening of RC beams, 32% on the confinement and compressive strength of columns, 6.5% on the flexural strengthening of slabs, 22% on FRP bond strength, 6.5% on materials, and 1% on beam–column joints. This research also revealed that the application of various ML algorithms has shown a significant improvement in resistance prediction accuracy as compared with the existing empirical solutions. Supervised learning techniques were the most favorable learning method due to their good generalization, interpretability, adaptability, and predictive efficiency. In addition, the selection of suitable ML algorithms and optimization techniques is found to be mainly dictated by the nature of the problem and the characteristics of the dataset. Nonetheless, selecting the most appropriate ML model and optimization algorithm for each specific application remains a challenge, given that each algorithm is developed with different principles and methodologies.

Purpose: Previous studies have established to a great extent that regulatory frameworks and, in particular, procurement approaches – that are common in a particular context – have a major impact on the success of building information modelling (BIM) implementation in construction projects. Despite the close links between these two concepts, research on the effect of procurement approaches on BIM implementation is scarce. To address this gap, this paper aims to investigate the barriers that affect BIM implementation through the lens of procurement approaches.Design/methodology/approach: A mixed-method approach was adopted using a questionnaire survey (n = 116) and interviews with key stakeholders (n = 12) in Jordan. The outcomes of the quantitative parts were augmented with findings from interviews.Findings: It was revealed that the deployment of unfavourable construction procurement approaches represents a major hurdle towards BIM implementation. Though essential for enhancing BIM implementation, it is revealed that a fundamental change from the common design-bid-build (DBB) to more collaborative procurement approaches remains infeasible in view of the realities that govern the construction industry.Research limitations/implications: It was revealed the deployment of unfavourable construction procurement approaches represents a major hurdle towards BIM implementation. Though essential for enhancing BIM implementation, it is revealed that a fundamental change from the common DBB to more collaborative procurement approaches remains infeasible given the realities that govern the construction industry.Originality/value: As the first of its kind, a set of recommendations for establishing supportive, workable procurement that does not deviate significantly from common procedures and practices is presented. Rather than advocating a shift to procurement approaches that are aligned with BIM, the findings offer novel insight into the necessity of developing a framework within the boundaries of the current and widely adopted procurement approaches to address the identified construction procurement issues and facilitate BIM implementation.

Purpose: A large portion of the public building projects in Jordan suffers from sustainability performance issues. Therefore, this research aims to develop a hybrid procurement framework to enhance the implementation of BIM in the Jordanian public sector for better sustainable building performance. This study also aims to identify the influence of procurement factors on BIM adoption and usage in the public sector in Jordan and to provide a holistic picture of recent research on technology acceptance and adoption in the construction industry.Design/methodology/approach: A qualitative approach was adopted using semi-structured interviews with key stakeholders (n = 12) in Jordan to explore procurement routes issues facing the adoption of BIM and to find proposed measures. Then, the findings of the interviews analysis using conventional content analysis and literature review were used based on a problem-solving approach to develop a hybrid conceptual procurement framework for BIM uptake to enhance the sustainability of building performance. Subsequently, semi-structured interviews were conducted to validate and refine the proposed conceptual procurement framework.Findings: It was revealed that the deployment of unfavourable construction procurement approaches represents a major hurdle towards BIM implementation. Though essential for enhancing BIM implementation, it is revealed that a fundamental change from the common Design bid build (DBB) to more collaborative procurement approaches remains infeasible in view of the realities that govern the construction industry. Moreover, this study has found the key procurement approach challenges for effective BIM implementation.Research limitations/implications: Research is limited to the public sector in Jordan and further qualitative and quantitative testing of the conceptual procurement framework is needed to adjust the framework before large-scale testing.Originality/value: The developed conceptual procurement framework is the first of its kind and draws a set of procurement approach remedies for the Jordanian public sector to foster the implementation of BIM.