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The available studies on contingency planning in projects lack an effective method for accurately estimating time contingencies because they (1) do not account for historically unprecedented disruptions, (2) produce estimation errors for low-probability and high-impact events and (3) do not consider the disproportionate impact of disruptive events on project resources. With this in mind, this research posits that the notion of resilience is central to contingency planning because understanding disruptions is directly interconnected with modelling and measuring resilience to disruptions. As a result, a method for estimating time contingency is presented in which resilience is used to describe the disruption and recovery profiles of project activities. The proposed method is applied in a real-life construction project to demonstrate its capability. In addition, a case study from the literature is selected to compare the proposed method with a critical chain project management solution. The results show that an accurate forecast of time contingency requires precise information about the specific impact of a disruptive event on project resources across various stages of disruptions. From a practical standpoint, the proposed method assists project managers and key stakeholders in the delay analysis of disrupted projects, as well as in developing cost-effective resource management plans. [ABSTRACT FROM AUTHOR]

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Mega construction projects (MCPs) have long periods, complicated environments, a multiplicity of mechanical equipment and personnel, and a large number of safety risk factors on sites. The different safety risk factors of MCPs have coupling effects among them, which can produce new risks and even lead to an accident. These factors present a major challenge for project managers to take on risk management in MCPs. Although previous research has done much work on risk factor identification and control in MCPs, less attention has been given to the coupling effects among risk factors, which affect the identification effect of key safety risk factors and their coupling paths. To compensate for this gap, this research used the latent Dirichlet allocation (LDA) topic model to identify risk factors in mass accident reports, the N-K model to calculate the coupled style, and then coupled the N-K model and the social network analysis (SNA) model to identify the safety risk factors and determine the coupling paths in MCPs. The results reveal the following: (1) six first-level subsystems are identified, and there are 31 second-level safety risk factors included in MCPs; (2) H1 (low safety awareness), H2 (CAT operation), H6 (improper safety protection measures), P4 (improper safety supervisors), P5 (imperfect management system), S3 (owner's mistakes), and M2 (improper maintenance of equipment) are the key safety risk factors in MCPs; and (3) unfavorable environmental factors can easily lead to the emergence of the multirisk coupling of G-S-P-H-M-E , which should be carried out by special management. This research provides a reference for the identification and control of safety risks in MCPs and contributes to the development of complex system risk management and control research. [ABSTRACT FROM AUTHOR]

The success of a construction project depends on several critical success factors in such a hazardous scenario characterized by COVID-19 and its consequent stress. One important factor is supervision by a competent project manager with higher emotional intelligence (EI) skills especially in these pandemic times of uncertainty. The selection of this kind of project manager is, by nature, one of the most important and, at the same time, most complicated decisions to be made due to a multi-criteria decision-making (MCDM) problem. Based on previous studies, the human emotion element is often overlooked in the decision-making process. Modern evaluation would require a multimodal dataset to evaluate a competent candidate for the position. In addition, it is identified that classical MCDM is static and unable to quantify real-time human emotion. Hence, in this study, our approach uses an integrated techniques for MCDM and deep learning to address the managers' selection problem. Accordingly, a number of techniques, such as convolutional neural networks and other variations of algorithms, will be tested and compared. The emotion in our facial emotion recognition intensities value will be forwarded to MCDM as part of the input and eventually yield a non-bias and quality decision. It is anticipated that this study will enable employers to simplify and implement an effective decision-making process by embedding EI into the decision-making process to improve the quality of their hires and source the perfect candidate for construction project managers. Therefore, this study is aligned with the national construction agenda under the Construction 4.0 Strategic Plan (2021-2025), which requires changes to be made within the construction industry in tandem with the rapid development of technology and smarter systems. It emphasizes the utilization of digital technology as well as skills and knowledge enhancement. [ABSTRACT FROM AUTHOR]

This study evaluated factors that influence timely delivery of natural gas pipeline projects in Niger Delta zone of Nigeria. The objectives are to: determine if there is any variation in the time objectives of gas pipeline projects executed by Oilserv Nigeria limited; examine the individual effect of the identified factors on timely delivery of the natural gas pipeline projects in the Niger Delta Zone of Nigeria; ascertain whether the collective effect of identified factors on timely delivery of the natural gas pipeline projects in the Niger Delta zone of Nigeria is significant or not. The literature study reveals that the main factors influencing the timely delivery of natural gas pipeline projects include construction issues, administration and management issues, contract award, financial and economic issues, and design-related issues. The survey was conducted via administering questionnaires. Multiple regression analysis and descriptive statistics were used to analyze collected data. Results show that most of the projects suffered time overruns. The timely delivery of natural gas pipeline projects in the zone was influenced by the factors both individually and jointly. Hence, the study recommends that project teams should enhance their organizational knowledge, planning and scheduling skills, supervise subcontractors on site properly, provide sufficient funding, strictly adhere to existing laws and regulations, and accurately design construction projects while taking the unique characteristics of the project locations into account. Ultimately, it is imperative that project managers, team members, and other key stakeholders have sufficient training in managing conflicts that frequently develop throughout project operations. [ABSTRACT FROM AUTHOR]

Employing social exchange theory, we examined when and how servant leadership leads to megaproject success. Based on the data of 273 responses from project team members and project managers, our findings indicated that servant leadership improves project success in megaprojects by enhancing interpersonal trust. Additionally, when project governance is high, the effect of servant leadership on interpersonal trust is weaker. The study puts forth theoretical and practical implications for professionals working in mega construction projects. Keywords servant leadership, interpersonal trust, project governance, project success [ABSTRACT FROM AUTHOR]

Increasing attention to stakeholders is becoming an important trend in construction project management. This study extends construction project goals beyond traditional iron triangle goals to stakeholder collective performance, responding to the demand of promoting stakeholder management. Researchers collected 231 questionnaires from sources within the Chinese construction industry and conducted empirical analysis. The research uncovers the internal mechanisms of how project managers’ responsible leadership enhances stakeholder performance, complements the mediating mechanism on team members’ psychological cognition, and reveals the important contribution of caring ethical climate in achieving stakeholder collective performance. The findings also provide practical suggestions for enhancing construction stakeholder management from various perspectives. Keywords stakeholder management, responsible leadership, stakeholder collective performance, felt obligation, organizational identification, caring ethical climate [ABSTRACT FROM AUTHOR]

The emergence of new technologies, artificial Intelligence, BANI environment and multidimensional complexity in projects requires project managers to have an innovative instinct to formulate efficient project management practices to achieve project success. Most articles in the extant literature have discussed leadership factors impacting project success; however, leadership behavioural practices encompassing characteristics/dimensions have not been considered and discussed in a unified manner. Therefore, a need arises with an objective for such a study to bridge the gap of a systematic literature review on leadership behavioural practice characteristics and provide a unified summarised effort to understand relationships with project success from relevant studies between 2000 and 2021. A sample of 72 out of 2805 articles was finally selected for rigorous analysis in a seven-step literature review process. This SLR has identified high to moderate levels of tangible managerial interpersonal and emotional behavioural practice characteristics compared to low-level task-oriented and intellectual practices on construction projects. Compelling evidence shows that relationship-building and people-oriented project leaders using effective communication and collaborative working are highly valued compared to taskoriented project leaders on successful construction projects. Effective leadership practices and findings from this SLR will provide a benchmark for future researchers to investigate further construction projects to generalize SLR outcomes on a broader scale. In addition, project organizations can use our identified cluster listings of behavioural practice characteristics during their recruitment process of project professionals. Low-valued soft skills in our analysis need more investigations in future research. [ABSTRACT FROM AUTHOR]

Construction project deliveries are confronted with various unprecedented challenges and disruptions in today's dynamic business environment, including external disturbances and internal discontinuity, but previous studies have paid little attention to project resilience and its antecedents. Subcontracting is an important way of tackling construction project disruptions, but many subcontracting decisions made by general contractors have turned out to fail to achieve the desired goals. This study investigates the effects of subcontracting organizational arrangements of general contractors, i.e., subcontracting dispersion, on construction project resilience, including proactive resilience and reactive resilience. Besides, the social network perspective is employed to explain the aforementioned effects in consideration of the significance of the network-level features for project resilience. In particular, this study scrutinizes the mediating role of two core features of subcontracting networks—strength and openness. Questionnaire data were collected from Chinese general contractors. The questionnaire items were adopted from previous studies and were finalized based on semistructured interviews and a pilot study. The empirical analyses show that subcontracting dispersion enhances proactive resilience while exerting no significant effects on reactive resilience. The mediating analyses show that subcontracting network openness plays a mediating role in the link between subcontracting dispersion and the two resilience elements. Theoretically, this study has introduced the social network perspective to (1) empirically scrutinize the underexplored project resilience and its antecedents; (2) investigate the less-explored issue of subcontracting dispersion and clarify the "concentrated or dispersed" dilemma by differentiating the dimensions of social networks and elements of project resilience; and (3) shed light on the conflicting findings about the advantages of social networks by highlighting the disruption contexts. Practically, project managers can benefit to design subcontracting organizational arrangements and develop their subcontracting networks in order to enhance construction project resilience. [ABSTRACT FROM AUTHOR]

Knowledge sharing (KS) and team creativity are crucial to achieving complex goals in a construction project. However, in the information age, there is a lack of research on exploring the influencing mechanisms among two dimensions of information technology (IT) innovations (i.e., intra- and interorganizational IT innovations) and two types of KS (i.e., tacit and explicit KS), along with team creativity in construction projects. Therefore, this paper builds a theoretical model of the relationships among the aforementioned variables. To validate the feasibility of this model, 289 valid questionnaires from the construction industry in China are analyzed. Results indicate that the influence of interorganizational IT innovation on team creativity is significant, and the influence is partially mediated by tacit and explicit KS. The influence of intraorganizational IT innovation on team creativity is significant, and the influence is partially mediated by explicit KS but not tacit KS. This study addresses the controversial issue of whether or how IT can promote tacit KS. This study also provides fresh insights into the influencing mechanisms of team creativity in construction projects owing to changes in the KS level affected by organizational IT innovations. There are also important practical implications relating to how project managers may rationally use IT to enhance KS and team creativity. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to examine how construction project managers' conflict management styles (CMSs) affect project team resilience from the perspective of social identity theory. Design/methodology/approach: This study adopted a cross-sectional survey design and collected paired data from 110 construction project managers and 474 employees in China. Based on the data collected, the authors tested the proposed hypotheses using hierarchical regression analysis. Findings: The results show that a project manager's cooperative CMS positively affects team resilience, and a project manager's competitive and avoidant CMS negatively affects team resilience. Team followership plays a mediating role in this relationship. The team power distance moderates the effects of a project manager's cooperative and avoidant CMSs on team followership. Originality/value: This paper enriches the existing literature on conflict management in construction projects and have potential guiding significance and application value for team resilience management practices. [ABSTRACT FROM AUTHOR]

Building Information Modelling (BIM) methodology has been supporting the construction activity in all sectors involved: multidisciplinary designs development; construction planning and monitoring; building management and maintenance. A BIM environment aggregates several specialties and related professionals and in order to control and improve the quality of a BIM project, a BIM manager is required. The BIM manager has the responsibility to coordinate all tasks involved in a building design and in the associated activities that are usually workout over the project documents. A BIM platform can be considered as a useful resource for multidisciplinary coordination, extending the BIM 3D modelling scope into the construction planning and after, in the operation and maintenance stages. A BIM manager is then required: to incentive the collaboration at work and to control responsibility given to each professional involved; to guaranty the correction of the amount and quality of the information, included in each BIM model step, and transferred between tasks; to coordinate all designs and the distinct mandatory activities (conflict detection, cost estimation or energetic simulation). The topic of the present study is illustrated with three building cases were distinct specific projects, disciplines and tasks were developed: structural analyses and reinforcement details; quantity take-off of materials and cost estimation; construction scheduling and simulation. The study presents the relevance of a correct coordination within the development of building projects. Although there are limitations in the implementation of BIM methodology in all sectors or activities within the construction industry, BIM has been bringing an important improvement in the quality of a building design, reflected in the quality of the final product. BIM methodology is a current demand in the construction industry supported on advanced technology and in an adequate management of projects. [ABSTRACT FROM AUTHOR]

Featured Application: Through the use of high-precision 3D virtual reconstruction techniques, together with comparison algorithms, this study is a clear advance in the field of building execution and, more specifically, in the prevention of occupational risks during the said process from the point of view of its management, inspection, evaluation, and control. It is about introducing high-precision 3D reconstruction technologies, which, when applied during the execution of construction projects, allow better monitoring. These 3D reconstructions are generated through terrestrial laser scanner records in different phases of the work, capturing processes and operators with simultaneous activity and their possible interferences and thus associated risks. With this, the responsible agents can evaluate the prevention strategies to follow and choose the most appropriate ones. On the other hand, this 3D virtual technology allows construction managers to analyze the model with the aim of improving quality standards in construction, being able to determine very precise and detailed data of the work in each phase without the need to be in the same. The findings remind project managers of the advantages of these technologies to make their work easier, especially in cases of project complexity, uncertainty in the dating and available information, and interactions between different operators. In the intelligent manufacturing process and digitization, new research spaces have been created, such as reverse engineering and its use for the detection of risks in construction. For this reason, in this research, an analysis methodology is proposed that, through terrestrial laser scanner records in different phases of the work, allows for an analysis and evaluation of the identification of security risks. In addition, by capturing different processes, it can be determined not only interferences from different operators that can generate risk but also establish quality standards in construction, such as determining the thicknesses of the coating of the concrete manufactured "in situ". Therefore, this research responds to quality analysis in the material execution of the activity and construction of formwork systems and their safety, as well as defining the location of the static and dynamic elements of the model. This value of the morphometric parameter of the building and the scene to be represented characterizes the morphometrics of the work execution activities and finally evaluates the semantic information model of the BIM construction, in which the deformations between the ideal model and what was executed. With the results of this study, it can be concluded that the latest 3D model reconstruction techniques (BIM), together with comparison algorithms, can determine millimeter precision, and with that, it can establish a better method for inspection, evaluation, and control through non-destructive technology. [ABSTRACT FROM AUTHOR]

Schedule management is essential in construction projects to ensure successful completion. However, the dynamic nature of the construction industry introduces variability, leading to uncertainty and challenges in schedule implementation. This paper explores the use of schedule acceleration through overlapping activities as a solution to mitigate the impact of variability on project timelines. Risks associated with overlapping activities can lead to waste and offset anticipated schedule gains. To challenge the assumption that the schedule gain from activity overlapping is directly proportional to the amount of overlapping, a simulation model is developed and implemented in MATLAB where activities are modeled as beta-distributions. The model gradually increases the overlap percentage and evaluates the mean best-case, overall mean, and mean worst-case durations. An isolated overlap consisting of two activities is used to demonstrate the effect of overlapping. With a 1∶1 ratio between durations, it was found that, when using a 90% overlap, the loss in effect varied from 3.2% to 57.5% with an overall mean loss of 34.2%. These results emphasize that even in the most optimistic combination of distributions, the most likely duration still exceeds initial expectations, indicating the influence of variability on the schedule. Thus, the findings highlight the necessity of project managers to consider the impact of variability on overlapping activities, ensuring a more accurate schedule estimation. The study offers practical recommendations for project managers, including a diagram that advocates applying adjustment coefficients based on the degree of overlap and the ratio between the activity's durations. The diagram can be adopted in future scheduling to adjust durations when applying overlapping to minimize the risk of schedule delays. [ABSTRACT FROM AUTHOR]

Maintaining the interorganizational relationship is a vital goal in the construction industry, and how to promote relational behavior in the project has received widespread attention. A contract is one of the commonly used control mechanisms in project management. Due to the contradictory conclusions of existing research, there is a lack of explicit guidance and detailed elaboration on how a contract impacts relational behavior. According to regulatory focus theory, this paper examines how different dimensions of contractual complexity affect motivation for different relational behaviors. This research decomposes contractual complexity as control, coordination, and adaptation from a functional perspective, classes regulatory focus into prevention focus and promotion focus and differentiates relational behavior as flexibility, information exchange, and solidarity. By conducting a questionnaire survey, the results reveal that the paths of three contractual functions on relational behavior and the mediating roles of prevention and promotion focus differ. Specifically, contractual control directly affects three dimensions of relational behavior, contractual coordination increases information exchange by triggering a prevention focus, and contractual adaptation enhances flexibility, information exchange, and solidarity by evoking a promotion focus and also directly enhances solidarity. These findings explain the motivation of behaviors in interorganizational relationships from the perspective of social psychology and offer new insights into how to cultivate relational behavior and the linkage between contractual and relational governance in construction projects. This study is helpful for construction practitioners in developing a nuanced understanding of interorganizational cooperation from the view of ex ante contract design and social psychology. Project managers need to allocate their resources properly, focus on different aspects of contract design and shape different regulatory focuses to foster specific relational behavior. First, drawing up a detailed contract is costly, and construction practitioners can choose what to focus on when resources and efforts are limited. On the premise that the contract is adequate to reduce the possibility of opportunism, practitioners should spend time and effort infusing flexibility into a contract by affording guidance on uncertain matters. Second, when executing a construction project, if contractual complexity has been established, it is also possible to promote relational behavior by adjusting the regulatory focus of the parties. Project managers should pay attention to the psychological state of both parties in the construction project, since situational triggers can evoke changes in the psychological state of the parties, which in turn affects the motivation for behavior. [ABSTRACT FROM AUTHOR]

Drawing on conservation of resources theory, the study aimed to investigate the relationship between work–family conflict (time-based, strain-based and behavior-based) and project manager abusive supervision in the presence of mediating mechanism and boundary condition. Time-lagged data were collected from 235 respondents working on construction projects to examine the proposed relationships by utilizing regression analysis. Findings indicated that the dimensions of work–family conflict had a positive significant relationship with abusive supervision and negative relationship with project commitment. Additionally, project commitment mediated the relationships and psychological resilience were found to alleviate the negative influence of work–family conflict on project commitment. Surprisingly, the results delineated that strain-based work–family conflict have more pronounced influence in instigating abusive supervision. This study is unique as it broadens the empirical research on work–family conflict and more particularly negative supervisor behavior in the project context. [ABSTRACT FROM AUTHOR]

Megaproject Social Responsibility (MSR) is widely acknowledged as contributing to project performance. However, the effect of Megaproject Social Responsibility Behavior (MSRB) implemented by organizations participating in construction on project performance remains a subject of considerable debate, and the intrinsic mechanism of MSRB's effect on the performance of megaprojects has not been elucidated. Therefore, this study employs resource-based theory to investigate the mechanism underlying MSRB's effect on project performance, taking into account both internal and external social capital as well as resource integration capacity as pivotal influences. Drawing on sample data from 206 experienced project managers across the various parties involved, this study develops a Bayesian network model to elucidate the MSRB effect mechanism. Through inference and sensitivity analysis, this study discovers variations in the enhancement effects across the four dimensions of MSRB on project performance. Notably, a combination strategy yields superior enhancement effects. Furthermore, when project performance is suboptimal, resource integration capacity emerges as a significant mediator between MSRB and project performance. Conversely, at high levels of project performance, MSRB directly contributes to enhancing project outcomes. The findings of this study offer valuable insights for the governance of MSR and the enhancement of project performance in megaprojects. [ABSTRACT FROM AUTHOR]

Complex construction projects are characterized by a large scale, high dynamics, many unknown risks, high complexity, etc., which often result in serious consequences, such as schedule delays, cost overruns, and uncontrolled objectives. Organizational leadership, which can be dynamically adjusted to the changes in the external environment, is the most important management ability of project managers. Therefore, it is of great significance to systematically analyze organizational leadership for the management of complex construction projects. In this paper, through the dynamic Bayesian method, the influencing factors of organizational leadership of complex construction projects and its dynamic development law are studied in depth. First, 17 organizational leadership factors are identified. Second, a dynamic Bayesian measurement model of organizational leadership was developed using 128 training samples. Third, the developed measurement model was applied for model analysis. The results of the study are as follows. (1) This study models changes in organizational leadership influences over time. (2) The organizational leadership measurement model proposed in this study can be applied in practice to predict leadership trends in specific projects. (3) Leaders should pay more attention to management competence in the personal leadership dimension, culture building in the relational leadership dimension, and institutional support in the strategic leadership dimension. This study proposes a quantifiable model for project leaders that breaks through the traditional model of studying organizational leadership from a static perspective, provides a quantifiable model for project leaders, and can cope with the dynamics of actual projects so that project leaders can control the whole leadership process macroscopically, thus providing an important reference to improve the organizational leadership capacity of complex construction projects. [ABSTRACT FROM AUTHOR]

Highlight: Sound risk management implementation is well noted for helping organisations to overcome operational inefficiencies. However, the management of risk associated with construction materials vendors, and how they impact project operational performance appear to have not been extensively researched. Goal: In this study, the effect of materials vendor risk management (vendor risk identification and vendor risk prevention) on project operational performance (project quality and scheduled completion time) was investigated. We also interrogate the mediating role of risk-oriented culture in the relationship between vendor risk management and operational performance. Design/Methodology/Approach: The target population was all 1,044 registered public construction firms under the Urban Regeneration Programme in Nigeria. The cross-sectional survey design was adopted, and random sampling was used to select 173 project managers, engineers, surveyors, vendors/contractors, and store representatives. Primary data was collected through the structured questionnaire, they were analysed via the Structural Equation Modelling (SEM) technique. Results: Three main conclusions are made about managing vendor risks: First, properly identified materials vendor risks (in terms of material handling issues, price escalation, non-compliance to specification, delivery delay, and sharp procurement practices) is positively related to operational performance. Second, implementing context-specific risk prevention measures (prior assessment score, vendor financial capacity, warranty policy, continuous monitoring, technical capacity) positively enhances operational outcomes. Third, paying attention to risk culture orientation of project stakeholders positively impact their risk prevention capability and operational performance of construction projects. Limitations: Study was limited to few operational performance indicators in project management. Future study could include other performance indicators. Practical Implications: The results can help project operations managers in industry address numerous risks associated with materials vendor. Originality/Values: The numerous abandoned and failed construction projects in developing countries as a result of less attention to vendor risks management prompted this study. [ABSTRACT FROM AUTHOR]

Image captioning is important for improving the intelligence of construction projects and assisting managers in mastering construction site activities. However, there are few image-captioning models for construction scenes at present, and the existing methods do not perform well in complex construction scenes. According to the characteristics of construction scenes, we label a text description dataset based on the MOCS dataset and propose a style-enhanced Transformer for image captioning in construction scenes, simply called SETCAP. Specifically, we extract the grid features using the Swin Transformer. Then, to enhance the style information, we not only use the grid features as the initial detail semantic features but also extract style information by style encoder. In addition, in the decoder, we integrate the style information into the text features. The interaction between the image semantic information and the text features is carried out to generate content-appropriate sentences word by word. Finally, we add the sentence style loss into the total loss function to make the style of generated sentences closer to the training set. The experimental results show that the proposed method achieves encouraging results on both the MSCOCO and the MOCS datasets. In particular, SETCAP outperforms state-of-the-art methods by 4.2% CIDEr scores on the MOCS dataset and 3.9% CIDEr scores on the MSCOCO dataset, respectively. [ABSTRACT FROM AUTHOR]

This article examines the impact of project manager competence on construction project performance in Banda Aceh City, Indonesia. The study identifies the factors of project manager competency that influence project outcomes and evaluates their influence on performance. The research finds that knowledge, skills, attitudes, and management all play a significant role in project performance, with management being the most influential factor. The article suggests that enhancing the competence of project managers, particularly in management, can improve the quality of construction projects in the region. Additionally, the document discusses the qualifications and competencies of project managers in the construction industry in Banda Aceh City, highlighting the importance of improving management skills for better project performance. [Extracted from the article]

Purpose: This paper explores project managers' (PMs') role in contributing to and achieving sustainability within construction projects, particularly focusing on Sustainable Development Goal (SDG) 11. Design/methodology/approach: Semi-structured interviews were conducted with 15 PMs working with construction firms in the UK. Thematic analysis was also performed on the qualitative data retrieved using the NVivo software. Findings: The study's findings revealed that PMs working on construction projects considered various sustainable construction processes in attempts to solve problems with traditional construction technology. Furthermore, it was revealed that the PM's role was key in achieving the SDGs in general and SDG 11 in particular through the process of perfecting the client brief, ensuring the client's financial stability and creating an environment of teamwork. In terms of specific competencies, sustainability leadership and sustainable innovative capability were revealed to suggest that a PM is the leader of change. Originality/value: The study highlights the essential role of the PM in delivering sustainable construction projects as part of the drive to achieve SDG 11. The study impacts the construction industry in developing strategies and training programs that build PMs' competencies and skills for contributing to the world we want. [ABSTRACT FROM AUTHOR]

Metro construction projects are accompanied by numerous unpredictable risk factors and risk events. Traditional safety risk analysis of metro construction projects focuses on risk factors of a particular risk event, such as collapse and falling. However, safety risk factors interact with each other and cause multiple risk events, forming a large transmission network. To reveal the influential relationship between risk factors and events in metro construction projects, the study proposes a safety risk transmission network model based on a factor–event network. First, safety risk factors and risk events were identified based on the reports of metro construction accidents in China. Then, a complex network containing 64 risk factors, 56 risk events nodes, and 533 interacted relationships was built. Finally, critical safety risk factors and risk events were obtained through quantitative assessment of the network topological feature quantity, and crucial transmission paths were identified. It was found that interactions between nodes were quite frequent risk factors of rainfall, geological voids, and illegal operations; and risk events of subsidence or cracks, earth and rock collapse, and death were crucial nodes in the network. These crucial nodes have a large influence on the network and play a pivotal role in risk transmission. Thus, project managers can develop a comprehensive long-term risk management plan based on critical factors and events and take measures to reduce losses by analyzing the risk transmission chains and taking measures to safeguard the neighboring nodes. It is of great significance for accident prevention, control, and improving safety risk management. [ABSTRACT FROM AUTHOR]

Nonconformance (NCR) has long been a subject of research interest for its potential to extrapolate information leading to a more productive environment in construction projects. Despite a variety of traditional attempts, a systematic understanding of how machine learning (ML) approaches can contribute to proactively detecting the severity of NCRs remains limited. This study aims to develop a data-driven ML framework to predict the cost impacts of NCRs (high severity versus low severity) in construction projects. To accomplish this aim, the random forest (RF) algorithm reinforced with a metaheuristic hyperparameter-tuning strategy, namely the gravitational search algorithm (GSA), is adopted for the binary classification problem. Furthermore, this study incorporates the Shapley additive explanations (SHAP) ensuring transparent interpretations into the GSA-RF predictive framework to tackle the inherent black-box nature of the ML rationale. The results reveal that the proposed model detects the severity of NCRs in terms of their cost impact with an overall AUROC value of 0.776 for the preseparated and blinded testing set. This indicates that the proposed model can be used confidently for newly introduced datasets from real-life cases. In addition, the SHAP analysis results emphasized the role of season, inadequate application procedure, and NCR type in detecting the severity of NCRs. Overall, this research not only makes an important contribution through its novel data-driven approaches but also provides insights for project managers concerning productivity improvements in the sector. [ABSTRACT FROM AUTHOR]

This article provides a series of interviews with global experts on the future of healthcare and artificial intelligence (AI) in healthcare project management. The experts discuss the current use of AI in healthcare, its potential benefits in remote diagnosis and monitoring chronic diseases, and its ability to improve healthcare access in underserved areas. While the interviewees express excitement about the potential benefits of AI, they also raise concerns about its reliability, ethical use, and data privacy. They emphasize the importance of involving patients in the development and implementation of AI tools and the need for regulatory frameworks to ensure ethical use. [Extracted from the article]

Collaborative innovation contributes to sustainable development in many industries. Although there is a growing literature on collaborative innovation, it is still unclear whether and how configurations of drivers affect collaborative innovation in large and complex construction projects (hereafter megaprojects). This research adopts fuzzy-set qualitative comparative analysis (fsQCA) to explore multiple conjunctural causations of collaborative innovation in megaprojects. The findings show that four equifinal solutions can influence collaborative innovation in megaprojects, i.e.: "system innovation-oriented" (configuration 1), "radical innovation-oriented" (configuration 2), "second-tier supplier oriented" (configuration 3), and "modular or architectural innovation-oriented" (configuration 4). This study contributes to explaining the mechanisms regarding how configurations of drivers contribute to collaborative innovation in megaprojects. It also contributes to the development of collaborative innovation research in a construction project context. The research findings provide construction project managers with four useful suggestions for promoting collaborative innovation in megaprojects. [ABSTRACT FROM AUTHOR]

Purpose: The objectives of the article are focused on identifying and evaluating mainly the information technologies that are currently used to manage knowledge in the building and construction industry, highlighting the strengths and weaknesses of particular IT tools for KM, and analyzing how to combine different information technologies together to support knowledge transferring process between construction professionals. Design/methodology/approach: The objectives of the research were achieved by a questionnaire survey. The respondents were professionals, mainly project managers in projects executed in a building and construction sector. An on-line questionnaire was elaborated to get the information on knowledge management in building and construction projects. Findings: It was found that knowledge management is an increasing challenge in projects in a building and construction sector. Barriers of applying knowledge management in construction industry have been identified. As project teams in construction projects are often disbanded at the end of a project, the knowledge generated in a project is difficult to track after the project is accomplished. The knowledge generated in the project should be stored and coded within the project. Practical implications: The research proved that knowledge management processes are of great importance and the use of IT tools is crucial for effective knowledge management in building and construction projects. Originality/value: The value of the research is the deep analysis of tools and technologies applied in selected building and construction projects. The respondents, professionals in project management, assessed what is important in the area of knowledge management in building and construction sector. The paper is dedicated to managers participating in construction and building projects. [ABSTRACT FROM AUTHOR]

Information bottlenecks are a central issue in architecture, engineering, and construction (AEC) projects. It is crucial to detect their occurrence to mitigate their impacts. Existing approaches to detect information bottlenecks use metrics that require estimating the quantity of information published, which is a challenging task in practice. In this paper, building on the literature and recent developments in automation, we introduce a revised model that uses unresolved activities during project delivery and frequency of information publication actions to detect information bottlenecks. We validated our model by applying it to a case study. We compared bottlenecks detected by our model to ground truth obtained in the case study independently using observational data and external verification. We further study how project activities requiring different levels of interactions among project participants with different roles (e.g., designer, contractor) affect our model's performance. Results support our model and show that it is possible to attain comparable performance by considering only high-interdependency activities. Our research enables teams and project managers to keep a focus on issues that require intense communication among different experts and organizations to avoid bottleneck. Our contribution to the body of knowledge includes a revised model that detects information bottlenecks during project delivery and insights into integrative project management where the focus is on both project activities and collaboration needs across roles to streamline the whole process. [ABSTRACT FROM AUTHOR]

The current study tries to investigate concept of project risk management and project quality with moderating role of project culture. For this drive, data was collected from project managers & employees working in various project of southern districts of KP. Sample was determined over Yamani Formula. Results are analyzed through SPSS over correlation & regression. The findings indicate that project risk management has significant relation with project quality. But the project culture did not moderate relationship between project Risk Management and Project Quality. The current study for first time tries to obtained data from government construction projects about their rules and regulations for managing risk associated with project completion. This study suggests that the senior management of the project may prioritize the activities in the proper sequence to mitigate the risk of failure. All the employees must be educated and trained to understand the risk and how affectively they can respond to these risks. In this regard computer application for the soil selection, lab testing and affective quality management practices must be applied by organization to avoid the risk of failure. [ABSTRACT FROM AUTHOR]

Purpose: This article aims to address the confusion related to the meanings of interorganisational cooperation, control, coordination and collaboration in collaborative projects by developing a conceptual framework. From this, the authors aim to describe the links among these concepts in terms of development levels of stakeholder relationships. In addition, the authors aim to identify challenges and preconditions in relation to developing relationships at different levels. Design/methodology/approach: The authors have adopted the directed approach of qualitative content analysis method to validate and extend the conceptual framework of this study. The context of this study is a large hospital construction project located in northern Finland. Findings: The findings of this study suggest that collaboration is a multilevel process of active engagement of multiple stakeholders. These stakeholders must have a high degree of shared understanding in terms of cooperation, control and coordination to achieve the mutually desired outcomes. This study also identifies the challenges that project stakeholders could face in developing collaborative relationships and propose preconditions for the same. Practical implications: This study provides a better understanding for project managers to manage interorganisational collaborative construction projects successfully. The outcome of this research would be beneficial to project management team to deliver dispute-free construction projects. Originality/value: Existing practical research on the development of relationships at different levels in collaborative construction projects is limited. This study offers a framework for the same which is validated in a real-life project. [ABSTRACT FROM AUTHOR]

This systematic literature review aims to identify and compare the main participative approaches to empowering users in construction projects. Whereas different approaches are mobilized, findings suggest that research on project management has focused primarily on sponsors, who are in a position to control project resources, with users often being overlooked. This lack of involvement creates gaps between user expectations and delivered construction projects. The review therefore finds that, on principle and to assure added value, project managers should consider implementing a user-empowering approach right from the planning stage. Guidelines for practical considerations for a participative approach to project management are suggested. [ABSTRACT FROM AUTHOR]

Evaluating risks is crucial for the smooth execution of pipeline projects. In Saudi Arabia, pipeline building projects frequently experience delays and cost overruns. This study tries to identify these risk factors. Thus, risk factors were collected from the literature and presented to four experts to identify the 26 most common factors for pipeline construction in Saudi Arabia. The risk factors were then assessed using a questionnaire to measure the degree of impact of the 26 factors by 135 participants. Partial least square structure equation model (PLS-SEM) and relative importance index (RII) methods were utilized to rank the significant factors after performing the reliability and discriminant validity of the questionnaire data. The findings show that the top five factors based on PLS-SEM were discrepancy between implementation requirements and specifications, financial failure/bankruptcy, poor pipeline material quality, supplying invalid materials, and weak ability to identify and monitor the threats. The ranking of the factors using PLS-SEM is different in the RII method. This difference is due to applying the Cronbach's α formula in the two methods. The PLS-SEM computes the coefficients of the groups, while the RII computes the coefficients for all factors. The study results can assist pipeline project managers in identifying and ranking risk variables to efficiently utilize the limited financial and human resources available for the risk management. [ABSTRACT FROM AUTHOR]

During the rapid development of building information modeling (BIM) in the construction industry, a phenomenon of nonidentification with or even resistance to BIM has emerged among technical staff in construction projects. Based on Information technology (IT) identity theory, this study proposes a concept of BIM identity to reflect technical staff's identification with BIM technology. As an important driver of BIM adoption, institutional pressures have received little attention in the literature at the individual level in terms of their effects on the psychological states of BIM practitioners. Therefore, this study proposes a theoretical framework to investigate the impacts of institutional pressures on BIM identity and to explore the mediating role played by perceived usefulness in this context. Based on 284 questionnaires collected from BIM practitioners, the results show that (1) coercive pressure, mimetic pressure, and normative pressure are all positively related to BIM identity; (2) perceived usefulness fully mediates the positive relationship between normative pressure and BIM identity, and partially mediates the positive relationships between the other two forms of pressure and BIM identity; and (3) the impact of mimetic pressure on perceived usefulness or on BIM identity is significantly stronger than that of coercive pressure or normative pressure. The findings contribute to the extant BIM research by revealing the influencing mechanism of external institutional pressures on BIM identity of individuals, which helps to understand the psychological process that leads to BIM adoption behaviors. In addition, this study provides guidance for project managers to take measures to create coercive, mimetic, and normative pressures to cultivate BIM identity of BIM practitioners, improve BIM performance of construction projects, and ultimately improve productivity of the construction industry. [ABSTRACT FROM AUTHOR]

Nowadays, competition in the international contracting market is becoming increasingly fierce, and knowledge has become one of the most important resources for international construction projects (ICPs). Academia and industry have gradually realized that members' individual knowledge should be integrated into the project work process by interacting with different individuals, which is defined as the process of project knowledge transfer. However, there is still a lack of concrete and complete understanding of how factors from each dimension (i.e., individual, team, and communication) integrate to affect knowledge transfer within ICPs. The purpose of this research is to examine the key drivers that affect knowledge transfer within ICPs from both individual and team perspectives. Data were collected from 353 samples of 87 international construction projects from people who were participating or had participated in the projects. The results of structure equation modeling (SEM) analysis suggested that cultural distance among project members hinders the willingness to transmit and receive knowledge, whereas members' prior stock of knowledge positively influences their transmittal willingness. Then, intercultural competence and effective learning mechanism affect knowledge transfer effectiveness (KTE) by positively influencing internal communication intensity. Additionally, the degree of trust affects KTE by positively influencing members' transmittal and reception willingness. Last, the willingness to transfer knowledge has a direct positive impact on KTE and also affects KTE by positively influencing internal communication intensity. This study provides suggestions for international project managers and members to promote KTE, which is conducive to the knowledge flow and accumulation of project teams and construction companies. This study provides several practical implications for improving knowledge transfer effectiveness within international construction projects. Project managers and members can draw upon the results to select proper strategies to promote their knowledge-transfer activities. The following recommendations can be made from three aspects according to the transfer method: From the perspective of knowledge transfer between members, members are supposed to respect others' cultural customs while maintaining good patience in communication. Also, project teams can hire compound talents with extensive professional knowledge to decrease the effect caused by members' different knowledge levels. Last, project teams can strengthen relationship governance and cultivate mutual trust between employees. To improve knowledge transfer from project members to the team, project managers are expected to organize an open and inclusive cross-cultural team to improve cross-cultural competence. Moreover, a complete learning system can be established through which members can report their knowledge in a timely manner to the upper organization. Last, communication channels can be expanded to make employees communicate smoothly through seminars, mentoring, report meetings, and so on. In terms of knowledge transfer from the project team to members, teams can conduct more cross-cultural training and establish a scientific training support system. Then, a complete learning system can be established that enables the superior organization to convey knowledge to members quickly and clearly. Finally, international construction projects (ICPs) are supported to create a knowledge-exchange platform in which members can upload, browse, and download knowledge. [ABSTRACT FROM AUTHOR]