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Previous studies have proposed that correctly managing stakeholders with certain attributes can benefit project management; however, robust theoretical elaborations and empirical investigations of this topic have been lacking. The purpose of this study is to empirically test the effects of two stakeholder attributes – contractor-perceived contractor salience and contractor project position – on the criticality of five typical contractor-related risks: risk of (1) injuries and accidents, (2) quality defects, (3) work delays, (4) cost overruns and (5) breaches of contract.

Questionnaire data were collected from 118 Chinese contractor managers. Regression models were run in Mplus 7.11 to test the hypotheses.

The data show that higher contractor-perceived contractor salience and a more supportive contractor project position were both related to lower criticality of contractor-related risks, including risk of (1) injuries and accidents, (2) quality defects, (3) work delays, (4) cost overruns and (5) breaches of contract. Contractor salience also mediated the negative relationship between a supportive contractor project position and the criticality of contractor-related risks.

The authors’ research design is cross-sectional and thus cannot establish causation in the relationships among the studied variables. The single item measure of contractor project position was used for the first time in the present study; thus, its reliability and validity still await more empirical examinations.

The findings advance the understanding of the value of stakeholder management in projects by specifying that prioritizing stakeholders' claims and securing their support for the project reduce the criticality of stakeholder-related risks. By providing empirical evidence from the construction context, the findings also add to knowledge on the instrumental power of stakeholder management in enhancing project risk management performance.

Safety climate plays an important role in the high-risk construction industry. Advances have been made in the understanding of construction safety climate in terms of four interrelated themes, specifically, its definition, measurement, antecedents and consequences. However, knowledge remains fragmented as the studies are scattered, and a systematic review covering these four themes is lacking. To address this research gap, this study aims to perform a systematic literature review of construction safety climate literature regarding the four themes.

Following the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) protocol guidelines, 178 eligible articles were obtained. This study provided thematic analysis of the 178 papers to identify what is known and what is not yet fully known regarding the four themes of construction safety climate. This study also conducted a descriptive analysis to identify the influential scholars, keywords, theories and research methods used by the literature, and finally presented an integrative framework directing future research.

The literature has not reached a consensus on the definition and measurement of construction safety climate. While it has identified the impact of safety climate on both behavioral and accident consequences, it has paid less attention to the antecedents and their underlying mechanisms regarding safety climate. Fang D. and Lingard H. are identified as the most influential authors in this field. “Questionnaire” and “safety behavior” are the keywords most closely related to safety climate. Unfortunately, the existing evidence for the causal relationships between safety climate and its antecedents and consequences is weak, as many studies lack clear theoretical substance, use a concurrent research design and focus only on individual-level climate perceptions. Finally, to support the development of construction safety climate around the four themes, potential research directions and research methods supporting them are illustrated.

This review makes contributions by integrating existing construction studies covering its definition, measurement, antecedents and consequences. This review also makes contributions to specific themes: no review exists on the antecedents of construction safety climate, and this review fills that gap; with regard to consequences, the existing reviews focus either on safety outcomes or safety behavior, but this review included both of them and further elaborated the different theories underpinning the relationships between safety climate and them. It is hoped that this systematic review will be helpful to the research community toward developing a nomologic network and promoting knowledge integration with respect to construction safety climate.

Following the conservation of resources theory and job demands–resources model, this study aims to explore the relationship between work interference with family (WIF) and emotional exhaustion and the boundary condition for construction professionals.

This study collected 319 valid samples from Chinese construction projects and examined the established integrative moderated mediation model using regression analysis and bootstrapping.

The results indicated that WIF was positively related to emotional exhaustion. The surface acting strategy mediated the relationship between WIF and emotional exhaustion. Emotional intelligence alleviated the indirect effect of WIF on emotional exhaustion via surface acting.

These findings unveil the resource depletion process of work–family conflict in the construction project context, enrich the emotional intelligence literature to demonstrate the buffer function on the negative impact of emotional resource depletion and address the implications for the construction labour workforce.

Following the call to explore what leadership theory could be applicable in temporary organizations, the purpose of this study was to develop an integrative model linking the effects of paternalistic leadership styles (i.e. authoritarian, benevolent and moral) on the behavioral integration (BI) of top management teams (TMTs) in megaproject settings.

The performance of the research model was tested based on empirical data collected from a sample of 43 megaproject TMTs.

The results show that the moral leadership style can significantly stimulate the BI of TMTs, whereas authoritarian leadership has a negative impact and benevolent leadership has no significant impact. Furthermore, trust in leader plays a partial mediating role between paternalistic leadership and BI, and the power distance value of TMT positively moderates the links between authoritarian and moral leadership styles and BI.

The TMT sample was drawn from China's megaprojects, most of which have global influence (e.g. Hong Kong–Zhuhai–Macao Bridge and Shanghai Expo), but the sampling approach limits the generalizability of the research findings to other contexts.

This study introduces the concept of BI into the realm of megaproject management and provides a novel perspective (i.e. paternalistic leadership) for exploring its antecedents. The findings, therefore, contribute to the literature by broadening the megaproject management research with a microfoundation perspective and by extending the extant paternalistic leadership in the context of temporary organizational settings.

The purpose of this paper is to verify the mediating role of commitment between market-oriented organizational culture and international market performance, and to discuss the moderator effect of national institutional environment on this mediating role.

The research design follows a mixed methodology, combining qualitative and quantitative data collection and analysis. In the first phase, research hypotheses are proposed based on a literature analysis. In the second phase, sample data are collected through interviews and questionnaires sent to domestic contractors in China and South Korea, and a validity analysis of the results is carried out. Correlation and regression analyses are then performed on the valid data to verify hypotheses to prove the existence and influence of mediating effects. Hayes PROCESS Macro is used on the regression results to test the mediating effect of commitment on international project performance and the moderation effect of institutional environment.

The results reveal that the commitment between partners has a mediating effect on the relationship between market culture and international project performance; however, no hierarchy culture is revealed. The mediating effect of commitment is regulated by the institutional environment.

Although the reliability and validity of the questionnaire data in this study are in line with research standards, a larger sample size would improve the reliability of the results. Further, the interviewed samples are mainly from China and South Korea; large representative samples from additional countries, such as Japan, should be considered to gain a fuller understanding and more comprehensive results.

By emphasizing the differences between the two institutional environments of developing and developed countries in East Asia, a theoretical and empirical basis is provided. International construction enterprises in other countries can apply the findings to improve their international market performance in different institutional environments. The findings also provide an empirical reference that international construction enterprises in China and South Korea may use to adjust their organizational cultures and commitments to improve market performance.

Previous research has little specific guidance on how to improve large infrastructures’ risk analysis. This paper aims to propose a practical risk analysis framework across the project lifecycle with Bayesian Networks (BNs).

The framework includes three phases. In the qualitative phase, primary risks were identified by literature reviews and interviews; questionnaires were used to determine key risks at each project stage and causal relationships between stage-related risks. In the quantitation, brainstorming and questionnaires, and techniques of ranked nodes/paths, risk map and Bayesian truth serum were adopted. Then, a BN-based risk assessment model was developed, and risk analysis was conducted with AgenaRisk software.

Twenty key risks across the lifecycle were determined: some risks were recurring and different risks emerged at various stages with the construction and feasibility most risky. Results showed that previous stages’ risks significantly amplified subsequent stages’ risks. Based on the causality of stage-related risks, a qualitative model was easily constructed. Ranked nodes/paths facilitated the quantification by requiring less statistical knowledge and fewer parameters than traditional BNs. As articulated by a case, this model yielded very simple and easy-to-understand representations of risks and risk propagation pathways.

Rare research has developed a BN risk assessment model from the perspective of project stages. A structured model, a propagation network among individual risks, stage-related risks, and the final adverse consequence, has been designed. This research provides practitioners with a realistic risk assessment approach and further understanding of dynamic and stage-related risks throughout large infrastructures’ lifecycle. The framework can be modified and used in other real-world risk analysis where risks are complex and develop in stages.

This study employs situated learning theory to elucidate the mechanisms of interorganizational collaboration by analyzing the relationships among absorptive capacity, institutional compensation, task cognitive integration and interorganizational collaboration in BIM-enabled construction projects.

An online questionnaire survey was conducted with managers and professionals involved in building information modeling (BIM-) enabled construction projects, and 220 valid responses were received. Data were analyzed by means of the linear regression models and bootstrap method.

The results show that (1) absorptive capacity, institutional compensation and task cognitive integration have a positive impact on interorganizational collaboration; (2) institutional compensation partially mediates the effect of absorptive capacity on interorganizational collaboration; (3) task cognitive integration fully mediates the effect of absorptive capacity on interorganizational collaboration; (4) institutional compensation and task cognitive integration serially and fully mediate the relationship between absorptive capacity and interorganizational collaboration and (5) the serial mediating model has a greater indirect effect than the other two models considered in this study.

This study contributes to the body of knowledge by demonstrating the way to break through the three types of organizational boundaries (i.e. syntactic, semantic and pragmatic organizational boundaries) and provide an internal collaborative mechanism from the perspective of situated learning theory. This study presents the critical effects of absorptive capacity, institutional compensation and task cognitive integration on interorganizational collaboration, selects the enhanced mediating model for explaining the effects of absorptive capacity on interorganizational collaboration and enables managers to update the traditional collaborative model in BIM-enabled construction projects.

Understanding the key locational and neighbourhood determinants and their accessibility is a topic of great interest to policymakers, planners and property valuers. In Northern Ireland, the high level of market segregation means that it is problematic to understand the nature of the relationship between house prices and the accessibility to services and prominent neighbourhood landmarks and amenities. Therefore, this paper aims to quantify and measure the (dis)amenity effects on house pricing levels within particular geographic housing sub-markets.

Most hedonic models are estimated using regression techniques which produce one coefficient for the entirety of the pricing distribution, culminating in a single marginal implicit price. This paper uses a quantile regression (QR) approach that provides a “more complete” depiction of the marginal impacts for different quantiles of the price distribution using sales data obtained from 3,780 house sales transactions within the Belfast Housing market over 2014.

The findings emerging from this research demonstrate that housing and market characteristics are valued differently across the quantile values and that conditional quantiles are asymmetrical. Pertinently, the findings demonstrate that ordinary least squares (OLS) coefficient estimates have a tendency to over or under specify the marginal mean conditional pricing effects because of their inability to adequately capture and comprehend the complex spatial relationships which exist across the pricing distribution.

Numerous studies have used OLS regression to measure the impact of key housing market externalities on house prices, providing a single estimate. This paper uses a QR approach to examine the impact of local amenities on house prices across the house price distribution.

This research aims to collect human body variables via 2D images captured by digital cameras. Based on those human variables, the forecast and recommendation of the Digital Camouflage Uniforms (DCU) for Taiwan's military personnel are made.

A total of 375 subjects are recruited (male: 253; female: 122). In this study, OpenPose converts the photographed 2D images into four body variables, which are compared with those of a tape measure and 3D scanning simultaneously. Then, the recommendation model of the DCU is built by the decision tree. Meanwhile, the Euclidean distance of each size of the DCU in the manufacturing specification is calculated as the best three recommendations.

The recommended size established by the decision tree is only 0.62 and 0.63. However, for the recommendation result of the best three options, the DCU Fitting Score can be as high as 0.8 or more. The results of OpenPose and 3D scanning have the highest correlation coefficient even though the method of measuring body size is different. This result confirms that OpenPose has significant measurement validity. That is, inexpensive equipment can be used to obtain reasonable results.

In general, the method proposed in this study is suitable for applications in e-commerce and the apparel industry in a long-distance, non-contact and non-pre-labeled manner when the world is facing Covid-19. In particular, it can reduce the measurement troubles of ordinary users when purchasing clothing online.