Chinese Construction Research Articles

The Cross-Cutting Effects of Age Expectation and Safety Value on Construction Worker Safety Behavior: A Multidimensional Analysis

This research investigates how age expectation (AE) influences construction worker safety behavior (CWSB) by utilizing self-validation theory (SVT). Using structural equation modeling (SEM) and data from 391 Chinese construction workers, we found that components of AE, such as physical health expectation (PHE), mental health expectation (MHE), and cognitive function expectation (CFE), positively impact CWSB. Safety value (SV), including safety risk perception (SRP) and safety attitude (SA), mediates these effects. The study provides theoretical insights and practical guidance for enhancing CWSB through interventions on AE, supporting sustainable growth and workforce quality in the construction industry.

A Bayesian network model integrating organizational, individual and psychological factors for strengthening construction worker safety behavior

Objectives. Construction worker safety behavior (CWSB) may be affected by a confluence of multilevel and interrelated factors. Cultivating and maintaining CWSB is vital for improving construction safety. Current studies focus on organization-level or individual-level CWSB antecedents. However, few studies have examined the influence of psychological factors on CWSB, thereby reducing the joint effects of multilevel factors on CWSB. Methods. To determine effective strategies for strengthening CWSB, this study adopted the Bayesian network technique to explore the interrelationships between CWSB and its antecedent factors. A Bayesian belief network model was developed and trained with data collected from Chinese construction workers, which connected organizational, individual and psychological factors with CWSB. Results. According to the sensitivity analysis, safety knowledge, safety climate and psychological capital are the three most significant influencing factors for CWSB. A combined strategy that enhances safety knowledge, safety climate and communication competence simultaneously is the most effective option for strengthening CWSB. The validation and robustness of the network showed good accuracy for safety behavior judgment. Conclusion. This study proposes an alternative way to improve safety behavior by identifying its interactive causes and illustrates the importance of initiating systematic safety measures, which may help to mitigate the problem of safety plateau.

Analysis of the Chinese Construction Industry Features and Trends of Development

Analysis of the Chinese Construction Industry Features and Trends of Development

The impact of cross-organizational private relationships on cooperative behavior in construction projects: evidence from Chinese construction industry

PurposeAntagonistic relationship among the participants of construction projects has significantly improved, and further improving cooperation quality are committed. In this context, expanding new ways to improve cooperation quality has become a new topic in cooperation research. This study is dedicated to exploring the mechanism of cross-organizational private relationships on cooperative behaviors, which is rarely addressed in current research on construction projects, and provides reference for the rational use of cross-organizational private relationships.Design/methodology/approachBased on analysis of studies related to relational governance theory, institutional theory and project complexity, this study constructs the theoretical model. This study uses survey data from 395 construction professionals in China to test the theoretical model by using structural equation modeling (SEM) and explains the direct and indirect mechanism of cross-organizational private relationships on cooperation behavior.Findings(1) Cross-organizational private relationships have direct and indirect facilitating effect on cooperation behavior. (2) Relational norms as mediating variables contribute to the expansion of the positive effects of cross-organizational private relationships on cooperation behavior. (3) Institutional environment and project complexity have the moderating effect between cross-organizational private relationships and cooperation behavior.Originality/valueThis research investigates the impact mechanisms and boundary conditions of cross-organizational private relationships at the micro level on the cooperative behaviors in construction projects and conducts empirical research. It is a topic that has not been adequately researched in the field of project management. The research results expand the scope of research on relational governance and deepen the research on the antecedents of relational norms. It provides the base for the proposed contingency theory of relational governance.

The organizational mechanism of new technology implementation: an empirical study in the Chinese construction industry

ABSTRACT In the past decade or so, an increasing number of construction organizations have shifted from traditional CAD to BIM, which requires organizations to make corresponding changes and can be seen as a progressive organizational change. However, existing research knows little about the organizational management mechanisms for BIM implementation. From the perspective of organizational change, considering the role of transformational leadership and organizational unlearning, this study constructs a framework to explore the organizational mechanism of BIM implementation. Based on empirical analysis of 124 samples from mainland China, it was found that transformational leadership contributes to the improvement of an organization’s BIM implementation level and the pathway is mainly achieved through organizational unlearning. This study contributes to the construction industry’s organizational change and new technology implementation by inferring and validating the positive roles of transformational leadership and organizational unlearning in promoting BIM implementation. Research findings can also provide helpful guidance for industry participants to implement BIM within organizations successfully.

UNDERSTANDING THE RELATIONSHIP BETWEEN TASK CONFLICT AND CONSTRUCTION PROJECT PERFORMANCE: UNCERTAINTY MANAGEMENT PERSPECTIVE

Task conflict is prevalent among construction project parties, however, how task conflict affects construction project performance still lacks a comprehensive investigation. Against this background, this study adopts an uncertainty management perspective to conduct an integrative model including both positive and negative mediators as well as one moderator to investigate the link between task conflict and construction project performance. Using 206 samples from the Chinese construction industry, the proposed hypotheses are empirically examined. Results suggest that project commitment (effect size = –0.046) negatively mediates the link between task conflict and project performance, whereas knowledge integration (effect size = 0.053) has a positive mediating effect. What’s more, task reflexivity is found to mitigate the negative effects of task conflict on both project commitment (coefficient of interaction item = 0.12) and knowledge integration (coefficient of interaction item = 0.08). It is also found that task reflexivity changes the direction and strength of the link from task conflict to project performance by both project commitment (from –0.155 to 0.069) and knowledge integration (from –0.049 to 0.052). These findings provide a holistic understanding of the relationship between task conflict and construction project performance, thus contributing to construction project management theoretically and practically.

Understanding the effect of contractual complexity on regulatory focus in construction projects: the moderating role of organizational culture

How the behavioral motivation of each organization is shaped or emerges during the interorganizational transaction deserves more investigation. Drawing on regulatory focus theory, this study delves into the impact of contractual complexity and organizational culture on regulatory focus as behavioral motivation in construction projects. This study dissects contractual complexity into control, coordination, and adaptation grounded in a functional perspective, decomposes regulatory focus into prevention focus and promotion focus, and splits organizational culture into group culture, developmental culture, hierarchical culture, and rational culture. Through validating the empirical data from 411 questionnaires within Chinese construction sector, this study uncovers that contractual control and contractual coordination positively affect prevention focus, while contractual adaptation positively affects promotion focus. Four different types of organizational culture play different moderating roles in the process of stimulating regulatory focus. Organizations with high group culture have a strong driving force for the formation of both regulatory focuses. In contrast, the average level of hierarchical culture, developmental culture, or rational culture is not conducive to the formation of prevention focus or promotion focus. These findings explain how behavioral motivation is impacted by transaction characteristics such as contracts from the perspective of social psychology, confirm the spillover effect of organizational culture of one party at the interorganizational level, and provide suggestions for practitioners on how to develop interorganizational relationships and allocate resources appropriately.

Peer Effects on Corporate Social Responsibility Engagement of Chinese Construction Firms through Board Interlocking Ties

Peer Effects on Corporate Social Responsibility Engagement of Chinese Construction Firms through Board Interlocking Ties

Spatial–temporal evaluation of total-factor energy efficiency in Chinese construction industry based on three-stage super-efficiency SBM-DEA model

PurposeThe study aims to enhance energy efficiency within the high-energy consuming construction industry. It explores the spatial-temporal dynamics and distribution patterns of total factor energy efficiency (TFEE) across China’s construction industry, aiming to inform targeted emission reduction policies at provincial and city levels.Design/methodology/approachUtilizing a three-stage super-efficiency SBM-DEA model that integrates carbon emissions, the TFEE in 30 Chinese provinces and cities from 2004 to 2019 is assessed. Through kernel density estimation and exploratory spatial data analysis, the dynamic evolution and spatial patterns of TFEE are examined.FindingsAnalysis reveals that environmental investments positively impact TFEE, whereas Gross Regional Product (GRP) exerts a negative influence. R&D expenditure intensity and marketization show mixed effects. Excluding environmental and random factors, TFEE averages declined, aligning more closely with actual development trends, showing a gradual decrease from east to west. TFEE exhibited fluctuating growth with a trend moving from inefficient clusters to a more even distribution. Spatially, TFEE demonstrated aggregation effects and characteristics of space-time transition.Originality/valueThis research employs the three-stage super-efficiency SBM-DEA model to measure the total factor energy efficiency of the construction industry, taking into account external environment, random disturbances, and multiple effective decision-making units. It also evaluates energy efficiency changes before and after removing disturbances and comprehensively examines regional and temporal differences from static and dynamic, overall and phased perspectives. Additionally, Moran scatter plots and LISA cluster maps are used to objectively analyze the spatial agglomeration and factors influencing energy efficiency.

Big Data Adoption in the Chinese Construction Industry: Status Quo, Drivers, Challenges, and Strategies

Big Data Adoption in the Chinese Construction Industry: Status Quo, Drivers, Challenges, and Strategies

Comparison of Double Object Construction in Chinese and Japanese

Double-object construction is a common cross-linguistic phenomenon, and there exists a special double-object construction which differs from the normal one both syntactically and semantically. This article aims to explore the syntactic and semantic similarities and discrepancies of two types of construction in Chinese and Japanese. Specifically, this article first generalizes the similar and divergent syntactic and semantic features of the two patterns in Chinese and Japanese (also involving other languages, such as Korean). Further, based on the comparison, this article reveals that the formation of the special construction depends on whether its possessor can receive appropriate case.

Assessing the implementation and effectiveness of China’s social credit system of the construction industry: a case study of Nanjing

Construction contractor evaluation is the first step in ensuring the successful completion of a project. Nowadays, the Chinese government has developed a social credit system (SCS) and proposed contractors’ credit scores as an additional factor to facilitate bidding decisions. Using Nanjing as a case study, this article investigates the status quo of construction contractors’ credit scoring. It evaluates how credit scores have impacted the public procurement of construction projects. This article utilizes data-driven approaches and conducts different statistical analyses based on the bidding results of 15,094 public projects and the credit scores of over 6,000 registered construction companies from 2014 to 2021. The results show that (1) around half the companies had no credit-changing activities; (2) credit scores are important when companies are bidding for medium, large, and extra-large projects; (3) large companies are more likely to have better credit ratings; and (4) credit scores have a significant impact on revenue generation. This article provides a basis for understanding the status quo and effectiveness of the SCS implementation in the Chinese construction industry and evaluating its impact on the public procurement of construction projects, which are often concerns of researchers, policymakers, and industry practitioners.

DGPCD: a benchmark for typical official-style Dougong in ancient Chinese wooden architecture

Dougong, a distinctive component of ancient Chinese wooden architecture, holds significant importance for the preservation and restoration of such structures. In particular, the northern official-style buildings represent the pinnacle of ancient Chinese construction techniques. In the realm of cultural heritage preservation, the application of deep learning has gradually expanded, demonstrating remarkable effectiveness. Point cloud serving as a crucial source for Dougong, encapsulates various information, enabling support for tasks like Dougong point cloud classification and completion. The quality of Dougong datasets directly impacts the outcomes of DNNs (deep neural networks), as they serve as the foundational data support for these models. The typical official-style Dougong, with its standardized and repetitive structural patterns, is highly suitable for training DNNs to accurately recognize and analyze these complex architectural elements. However, due to the inherent characteristics of Dougong, such as coplanarity and occlusion, acquiring point cloud data is challenging, resulting in poor data quality and organizational difficulties. To address this issue, our study adopts a multi-source data fusion approach to tackle the challenges of insufficient data quantity and poor data quality. Further, through data augmentation, we enhance the dataset’s volume and generalize its characteristics. This effort culminates in the creation of the typical official-style Dougong Point Cloud Dataset (DG Dataset), poised to support deep learning tasks related to Dougong scenarios.

Research on seismic performance of prefabricated composite shear wall with end steel plate connection

Chinese construction industry is gradually transforming to industrialization, which promotes the development of prefabricated buildings. As an efficient lateral force resisting system, prefabricated steel-plate concrete composite shear wall structure has become a research hotspot in the field of architecture at home and abroad. Based on the mechanical characteristics of the shear wall, this paper proposes a end steel plate connection prefabricated composite shear wall structure. Through numerical simulation and analysis of the prefabricated composite shear wall with different connection areas and the cast-in-place composite shear wall, which verified the feasibility and reliability of end steel plate connection. Based on the above verification, the influence of different parameters on the seismic performance of the prefabricated composite shear wall with end steel plate connection has been further studied, and the theoretical calculation of bearing capacity is carried out. The results show that the length of the connector should be controlled within a reasonable range. The tie bars in the node connection area can improve the strength and ductility of the prefabricated composite shear wall. The aspect ratio and axial pressure ratio have obvious influence on the seismic performance of the wall, which should be reasonably selected in design.

Examining the effectiveness of knowledge governance mechanisms in mobile messaging groups within construction project teams

PurposeMobile messaging groups (MMGs) have been widely adopted in construction practice, yet, little is known about how to foster knowledge sharing (KS) in MMGs, characterized by communication visibility. This study is thus motivated to investigate mechanisms for KS in this context.Design/methodology/approachThe paper employs knowledge governance theory to construct a theoretical model and develop hypotheses. Specifically, psychological safety is identified as a mediator between knowledge governance mechanism (KGM) and KS, and promotion regulatory focus is identified as a moderator between KGM and psychological safety. Data from 208 Chinese construction project team members are collected to test the proposed theoretical model.FindingsThe results suggest that both formal and informal KGM positively affect psychological safety, which in turn improves KS (quantity and quality). Moreover, the mediating role of psychological safety is confirmed, and the moderating role of promotion regulatory focus is validated.Originality/valueThis study explores how to foster KS in MMGs, which are pervasive in today’s digital age. The findings in this study enhance the understanding of KS in digital environments and afford important insights into knowledge management within construction project teams.

Experience of Russian-Chinese industrial cooperation on the construction of the Moscow metro

The commissioning of the Big Circle Line in Moscow, some sections of which were laid jointly with Chinese underground builders, provided the first experience of interaction with foreign construction contractors on the Moscow Metro. The paper investigates this experience which is of value for the development of such works in the future. The analysis was carried out on the basis of scientific and technical documentation on certain facilities, the progress and results of construction and installation works, and information on other events. The paper describes the facilities where construction and installation works were carried out by joint efforts and shows the peculiarities of interaction between Russian and foreign (Chinese) metro builders on a number of sections of the Big Circle Line of the Moscow Metro. The achieved results are demonstrated by the example of individual underground stations. The study reveals the peculiarities of material and technical support of works on the sections constructed by Chinese construction contractors. The mutual exchange of experience, technologies, and work management practices along with the application of various tunnel boring machines from both countries (Russia and the PRC) has yielded fruitful results, demonstrated the possibility and efficiency of the direct engagement of foreign tunnel builders at Russian sites in close cooperation with their Russian counterparts, and revealed a scheme for rational division of labour, work management, and logistical support of works.

The impact of penalties, incentives, and monitoring costs on the stakeholders’ decision-making behaviors in non-compliance drone operations

As an automated assistive tool, drones have revolutionized industrial activities and brought numerous potential benefits to society. However, irresponsible drone users often disregard compliance with regulations, leading to new challenges in drone usage. Although governments have implemented punishment and incentive mechanisms to prevent non-compliant drone operations, the extent to which they can effectively deter such activities remains unclear. To address this gap, the study employed evolutionary game theory to assess the impacts of penalties for non-compliance, incentives for public monitoring, and monitoring costs for the government on the multiple stakeholders' decision-making behaviors (SDBs). The study also used the Chinese construction market data to simulate how penalties, incentives, and monitoring costs influence SDBs. The numerical simulations reveal that penalties and incentives could reduce drone users' non-compliant operations, but this effect is useful only if the penalties and incentives exceed a certain value. In China, drone users' non-compliant operations can be controlled when penalties for drone users exceed 12,000 yuan, and incentives for the public's monitoring exceed 170 yuan/day. The current Chinese government's penalties that were administered for non-compliant drone operations have not achieved a deterrent effect, but the incentive is feasible. These findings provide a fresh insight into the decision-making behaviors of stakeholders in non-compliant drone operations. Additionally, the tripartite evolutionary game model developed in this study can assist other countries in determining optimal values for penalties, incentives, and monitoring costs to mitigate non-compliant drone operations effectively.

The Role of Agile Leadership in The Timely Delivery of Projects in The Chinese Construction Industry

The Role of Agile Leadership in The Timely Delivery of Projects in The Chinese Construction Industry

Do Government Subsidies Induce Green Transition of Construction Industry? Evidence from Listed Firms in China

The construction industry is a major energy consumer and carbon emitter, and identifying the key drivers for its green transition has attracted increasing attention. Although government subsidies are one of the most effective and direct ways to induce a green transition, few academics have examined their effects at a micro level. Therefore, this study used the Chinese construction industry as an example to study the influence of subsidies on its green transition. Given the ambiguity of the green transition concept, this study employed the number of green patents and Environmental, Social, and Governance (ESG) ratings to represent the narrow sense and the wide sense of green transition, respectively. According to the empirical findings, subsidies can successfully induce green technology innovation and thus facilitate a green transition. The results of heterogeneity analysis show that government subsidies have a significant incentive-based effect solely on state-owned firms, but an insufficient effect on private and other enterprises. Furthermore, while government subsidies have little effect on ESG ratings, they can promote green transition of enterprises by increasing ESG ratings. The government should increase the types of subsidy packages available to enterprises, while attaching more importance to social responsibility.

How AI Impacts Companies’ Dynamic Capabilities

Overview: Artificial intelligence (AI) is rapidly transforming the business landscape, but limited research is available regarding how companies are responding and adapting to AI. Using dynamic capability theory, we hypothesized that companies would develop new dynamic capabilities to seize AI opportunities. Our analysis of qualitative data from six major Chinese construction companies revealed that these companies’ existing dynamic capabilities are key to adopting and adapting AI technology for business model innovation. We developed a dynamic capability model that describes how companies use their existing dynamic capabilities for sensing AI, seizing AI, and transforming to leverage AI for business model innovation. Our research bridges the gap in understanding the relationship between AI adoption, existing dynamic capabilities, and AI adaptation. Integrating AI is not as daunting as it may seem. Companies, practitioners, and other stakeholders can transition into AI, starting with their existing capabilities.