With the widespread application of supply chain management ideas in the construction field, supply chain resilience as a tool for risk management has also begun to attract scholars’ attention. The prefabricated building supply chain (PBSC) is greatly affected by internal and external risks in China. This paper constructs a conceptual model of the factors affecting the resilience of the prefabricated building supply chain from the perspective of resilience management. Based on 202 valid questionnaires, it makes an empirical study on the above conceptual model by using the method of the structural equation model (SEM). The results show that the production and assembly construction of components have a significant impact on the resilience of supply chain of prefabricated buildings (PB), while the process of transportation and storage of components has no significant impact on it. In addition, the study also verified that information factors and partnership factors have a strong regulatory effect on these three processes. In theory, it provides a new perspective for the supply chain management of prefabricated buildings. In practice, it provides a decision-making basis and scientific guidance for the enterprises in the supply chain of prefabricated buildings in China.

The construction of mega infrastructure projects has the characteristics of repeatability, long duration, and high complexity. Therefore, it is particularly important to implement dynamic decision-making in projects. This study takes data-driven decision-making mechanisms as the entry point and constructs a dynamic decision-making system for mega infrastructure projects consisting of an information collection subsystem, an information processing and transformation subsystem, a human–computer collaborative decision-making subsystem and an evaluation and feedback subsystem. On this basis, we established a system dynamics model of dynamic decision-making for mega infrastructure projects. Vensim PLE 9.3.5 software was used to simulate and analyze the operation law of dynamic decision-making for mega infrastructure projects from a data-driven perspective, and the sensitivity of the application rate of information management technology, the application rate of data analysis methods, the participation rate of experts in decision-making, the historical case information on this project, and the information on similar projects on the effectiveness of program implementation were simulated and analyzed. The results of the study showed that all five key influencing factors have a positive impact on the effectiveness of program implementation. In addition, the application rate of information management technology and the application rate of information analysis methods have a higher sensitivity to the effectiveness of program implementation, the participation rate of experts in decision-making and historical case information on this project have average sensitivity to the effectiveness of program implementation, and information on similar projects has lower sensitivity to the effectiveness of program implementation. This study provides some ideas and suggestions to promote the effective use of information technology and digital technology by each participant in the construction of mega infrastructure projects while improving their dynamic decision-making efficiency, scientificity, and accuracy.

Megaproject construction endeavors and technological innovation activities, led by industry–university–research (IUR) collaboration, demonstrate marked disparities in value orientations, implementing entities, and constituent components. These discrepancies lead to a mismatch between innovation demands and actual activities, as well as insufficient innovation motivation among construction entities, subsequently impacting innovation effectiveness and the commercialization of outcomes and failing to adequately support engineering construction needs. In response to this predicament, the academic community widely acknowledges IUR collaborative innovation as a solution. This research integrates fundamental theoretical analysis with a multi-case study approach and systematically dissects the distinctive features at the micro, meso, and macro levels, grounded in the collaborative innovation practices of IUR in three iconic railway engineering projects in China. Subsequently, it unravels the inherent operational mechanics of the IUR collaborative innovation system within large-scale projects. Specifically, at the micro level, the profound engagement of governments and project owners fosters a solid supportive environment and collaborative platform for IUR collaboration, while past successful cooperation experiences among key innovation entities enhance their technological and knowledge interactions. At the meso level, shared industry cognitions and values, hierarchical organizational structures, flexible institutional designs, and resource allocation strategies based on balancing risks and benefits collectively constitute the supporting system for megaproject collaborative innovation. At the macro level, the tight integration of the innovation chain and industrial chain promotes the formation of an open cooperation ecosystem, ensuring the continuity and systematic nature of innovation activities and accelerating the rapid commercialization and efficient utilization of innovation outcomes. This study not only enriches the theoretical connotations of IUR collaborative innovation in the context of major engineering projects but also provides theoretical foundations for strategy formulation and management practices for major project managers, holding significant value in guiding the innovation management of future major engineering projects.

With the promotion of Engineering Procurement Construction mode in railway construction projects, collaborative management between design and construction has faced increasing challenges due to complexities of the participants and the various professional fields involved in railway EPC projects. This paper aims to analyze the issues present in the collaborative management of railway EPC project design and construction. Utilizing the social network analysis methodology combined with the Wuli–Shili–Renli (WSR) system methodology, a network model was established to explore relationships between design and construction management. This study investigates network-influencing factors and proposes targeted measures to enhance project management efficiency. The findings indicate that coordination and communication mechanisms, organization building, interface management systems and design management systems represent core network elements that significantly impact railway EPC collaborative management. These elements are closely related to other network factors. The research not only advances design and construction coordination theory, but it also introduces new ideas for engineering practice.

With mega railway construction projects (MRCPs) facing various natural disasters and extremely difficult engineering construction tasks, there is an urgent need to improve the resilience management capability of engineering construction to cope with complex and changing internal and external risks. As a key element of the construction management system, the level of institutional resilience directly determines the adaptability of the construction system in the face of crisis. However, the research on the influencing factors and the formation mechanism of institutional resilience is slightly insufficient. Therefore, this paper defines the connotation of institutional resilience in MRCPs on the basis of existing research. Secondly, it codes authoritative journals and expert interview reports related to MRCPs in China by applying a rooting theory. Finally, the paper analyses the formation mechanism of institutional resilience based on an Interpretative Structural Modeling and proposes strategies to enhance it. The results show that the institutional environment is the fundamental influencing factor, institutional implementation, institutional supervision, institutional guarantee and institutional feedback are the direct influencing factors, and institutional stakeholders and institutional design are indirect influencing factors. The mechanism of interaction between the institution and the institutional environment, the mechanism of interaction between the institution and the institutional stakeholders, the mechanism of generation of institutional rules and the mechanism of operation of institutional rules work together to generate institutional resilience. This paper, as an exploratory study on institutional resilience in the field of engineering management, has sorted out the ideas for the subsequent research on institutional resilience in this field and provided the directions for project managers of MRCPs to improve their institutional systems.