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The role of a government investment project (GIP) management supervisor is to improve supervision performance and the Chinese government has issued a series of polices, displaying the determination to solve supervision problems. The purpose of this paper is to assist the government to play its role of supervisor and to realize progress supervision performance for GIP in practice with the Agent Construction System (ACS).

Taking consideration of the essence of ACS, the paper analyzes the system supported theory, which is a supervision mechanism, with contract management as the core and goals as orientation. The authors design the system frame and its composing modules according to the main function of this information system.

The research builds an expected supervision information system with four functional modules, which is designed according to logical sequence of supervision, based on a theoretical supervision mechanism.

The system is, to the best of the authors' knowledge, the most advanced and practical information system for GIP supervision published in the literature.

Little research has focused on abusive supervision in the context of project management, despite its prevalence and detrimental influence on the psychological health of subordinates. Therefore, drawing on affective event theory (AET), this study sought to investigate supervisor-level antecedents of abusive supervision by considering the mediating role of emotional exhaustion and moderating role of psychological resilience.

Utilizing a time-lagged design, data were collected through questionnaires from project managers and their immediate subordinates in construction projects. PROCESS macros were utilized to analyze a sample of 241 supervisor-subordinate dyads.

The findings revealed that time pressure and emotional exhaustion significantly predicted project manager abusive supervision. The authors also found that emotional exhaustion mediates the relationship between time pressure and project manager abusive supervision. Furthermore, the results show that highly resilient project managers become less emotionally exhausted when facing time pressure. Lastly, psychological resilience moderated the indirect effect of time pressure on project manager abusive supervision through emotional exhaustion.

According to Fordjour et al., abusive supervision is a critical factor that deteriorates the psychological health of subordinates in the project. Nevertheless, this phenomenon remains uninvestigated. Therefore, this research contributes to the project management literature by investigating key predictors of abusive supervision, thus filling both a theoretical and practical gap.

This research focuses on exploring a psychological mechanism between abusive supervision and job engagement via job insecurity and job alternative to understand how frontline construction workers' perceived abusive supervision impacts on their work engagement.

This study draws on the conservation of resources theory (COR) to postulate that workers' job insecurity acts as a mediation between abusive supervision and work engagement, and the perception of job alternative moderates the impact of abusive supervision on job insecurity. This study empirically tests survey data from 357 frontline construction workers and adopts partial least square structural equation modeling (PLS-SEM) to test the proposed model.

This paper proved the dark-side of abusive supervision, dual character of job insecurity and moderating role of job alternative. The game-changing mediation effects of job insecurity were examined, which suggested that work engagement would be higher when abusive supervision stimulates stronger job insecurity. Furthermore, the result indicated that the relationship between abusive supervision and job insecurity should be weaker when job alternative is high.

This research suggests construction project managers (CPMs) must take steps such as enhancing supervisors' emotional management skills to control frequency of abuse and thus lessen compromising engagement. Moreover, overall understanding frontline workers' job insecurity is meaningful for better construction performance management.

This research contributes to the disputed leadership style (abusive supervision) and positive psychology knowledge (work engagement) in construction projects by unveiling the psychosocial mechanism (game-changing effects of job insecurity) of construction frontline workers positive engaged feeling. This study highlights the function of personal and job resources in process of resource conservation.

This study aims to reduce the construction safety accidents of prefabricated building (PB) projects, improve the efficiency and effectiveness of safety supervision by government departments, and provide theoretical reference for improving the safety supervision system of PB construction.

Considering the information asymmetry between government supervision departments and construction contractors and the interactive relationship between the two parties under bounded rationality, we propose an evolutionary game model for the construction safety dynamic supervision of PBs and analyze the evolutionary strategy of the game. The system dynamics (SD) method is used to simulate and analyze the evolutionary game process under a dynamic supervision strategy and the adjustment of external variables.

The cost difference between the government's strong and weak supervision, the construction contractor's additional expenditure for strengthening safety management, and other factors affect system stability. The government can dynamically adjust the penalties based on the construction contractor's subjective willingness to ignore safety management and further adjust their rate of change based on the completion of the supervision goals to improve the efficiency and effectiveness of construction safety supervision.

This study makes contributions in two areas. Through a combination of SD and an evolutionary game, it provides new insights into the strategic choice of the main body related to PB construction safety. Additionally, considering the nonlinear characteristics of construction safety supervision, it provides useful universal suggestions for PB construction safety.

This study provides a framework for comparing construction management contracts in the UK and the US construction practices. It starts by reviewing previous studies on UK and US contracting practices and explores the main delivery methods, inform of comparison with construction management contracting systems. It examines construction management contracting types, processes and procedures and interaction between the construction manager and other stakeholders. This study was based on a literature review and the result shows the similarities and differences between the American and British CM systems within each practice and between both practices; the distribution of responsibilities and risks both in pre‐construction and during the construction stages; and allocation of responsibility in both practices.

Managers of megaprojects face social risk management challenges throughout the various design, construction, and operation stages, owing to the various conflicts of interest among stakeholders, public skepticism, and opposition. However, most existing studies have not focused on the dynamic analysis of integrating social risks in these stages. This study developed a dynamic analysis approach to explore the dynamics of critical social risk factors and related stakeholders of megaprojects and built the managerial maps for various stakeholders.

Based on the social analysis network (SNA), a dynamic network analysis approach for understanding the dynamics of social risk and related stakeholders has been developed by literature and case analysis. The approach comprises the following steps: (1) generating social risk–stakeholder networks in different stages; (2) analysis of the critical stakeholders and social risk factors; (3) dynamic analysis of social risk factors; and (4) developing social risk management maps for various stakeholders. To verify the feasibility and effectiveness of the approach, 40 megaprojects from China were analyzed.

According to the results, the local government is a critical stakeholder during all stages, inadequate information promotion (IIP) and imperfect communication and coordination mechanism (ICCM) are key social risk sources throughout the megaproject life cycle. Furthermore, the management maps for government organizations, project implementation groups, and external stakeholders were constructed.

This research has three contributions. First, a dynamic analysis approach of stakeholder-associated social risks in megaprojects is developed, which enriches the social risk management theory of megaprojects and provides inspiration for future research focus. Second, the social risk–stakeholder networks and critical social risks in different stages are confirmed to provide a more valid and accurate picture of social risk management in megaprojects. Third, the social risk managerial maps for different stakeholders built in this research will be beneficial for governments, project implementation groups, and external stakeholders to optimize management strategies.

The skills and knowledge of site supervisors play an important role in the outcome of construction projects. Evidence gleaned from the literature indicates that poor performance of construction projects remains a central concern for stakeholders in the construction sector. This suggests that the site supervisor’s training is important in the construction project outcomes. Various training programmes are available for site supervisors, yet construction firms are not satisfied with them. The purpose of this study is to determine the key training practice indicators for optimal site supervisor’s usage in construction firms.

This study adopts a cross-sectional survey research design. In the approach, exploratory factor analysis and confirmatory factor analysis were used to determine the key training practice indicators for site supervisors. Data were collected from 218 construction site supervisors using a questionnaire.

Findings show that training practices are a multidimensional concept consisting of training needs assessment, training delivery, training evaluation and transfer. From the 50 training practice variables, this study establishes 12 key training practice indicators for training site supervisors in construction firms.

Future research should adopt a longitudinal survey for examining training practices in construction firms.

The identified key training indicators can inform the policies and practices used in the training of site supervisors.

This study contributes to knowledge by establishing 12 significant training practice indicators for optimal site supervisors’ usage in construction firms.

The purpose of this paper is to evaluate the waste occurrence level in the construction industry. It includes: first, identifying the mean value of frequency of waste occurrence according to respondents’ characteristics; second, identifying the main predictive factors for waste occurrence based on latent relationships between initial waste factors; and third, identifying the waste occurrence-level indicator (WOLI) for the construction industry based on the main waste measurement factors.

A total of 19 waste factors were sorted from the literature review. A structured questionnaire was adopted to carry out the survey. The respondents are professionals who have much experience in construction and management of project. Shapiro-Wilk test of normality, Levene’s test, ANOVA test, and factor analysis technique were used to analyze the collected data.

Frequency of waste occurrence in construction projects is quite high. There was no statistically and practically significant difference in means for waste occurrence between selected population categories. Based on factor analysis technique, there were five principal components extracted with 56.7 percent of total variance. The WOLI in the construction industry was found as 61.55 per the scale of 100.

The non-probability sampling was applied to collect data because of several certain limitations and difficulties. The number of data sets is relatively small. This study has only examined the frequency of waste occurrence without quantitative information.

This is another study of waste factors in the construction industry, which is different from traditional waste studies.

The contribution of this study to the practical project management is that a proposed evaluation sheet for WOLI could be applied for any construction firm.

The construction industry is dynamic in nature. The concept of project success has remained ambiguously defined in the construction industry. Project success is almost the ultimate goal for every project. However, it means different things to different people. While some writers consider time, cost and quality as predominant criteria, others suggest that success is something more complex. The aim of this paper is to develop a framework for measuring success of construction projects. In this paper, a set of key performance indicators (KPIs), measured both objectively and subjectively are developed through a comprehensive literature review. The validity of the proposed KPIs is also tested by three case studies. Then, the limitations of the suggested KPIs are discussed. With the development of KPIs, a benchmark for measuring the performance of a construction project can be set. It also provides significant insights into developing a general and comprehensive base for further research.

The decentralisation of information and high rate of mobile content access in the construction industry provides an ideal scenario for improvement of processes via the implementation of the paradigm of the Internet of Things (IoT). Smart devices are considered as the objects interconnected in the IoT; therefore, they play a fundamental role in the implementation of digital solutions during the execution of construction projects. The purpose of this paper is to assess the critical factors for a successful implementation of smart devices in the construction industry.

An empirical study was performed in the Dominican Republic. This country, located at the heart of the Caribbean, presents an economy that strongly relies on the construction industry. Following a systematic approach, a qualitative data collection and analysis was performed based on semi-structured interviews and content analysis to professionals of construction companies in the Dominican Republic, enquiring the concept of smart devices and critical success factors for implementing the devices in the industry.

The key success factors obtained from the contestants were leadership, technology awareness, company size, usability of proposed solution, cost of implementation and interoperability.

This paper provides information to clients of the construction sector regarding the benefits of embedding smart devices into their business activities. Furthermore, this study provides a better understanding of the key factors to be considered by construction organisations when embedding smart devices into their projects. This study also provides recommendations for distinct stakeholders of the construction sector, such as policy makers, clients and technology consultants. Policy makers should especially consider factors such as technology awareness and leadership to develop the right policies for the integration of the IoT in construction projects. Technology consultants should be aware of the latest case studies of successful implementation of smart devices and IoT systems in the world in order to adapt and implement smart devices and IoT in their projects.