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.

Urban rail transit (URT) public–private partnership (PPP) projects are long-term, complex projects involving numerous stakeholders. Various unforeseeable events make the benefits of these projects uncertain, and disputes about the distribution and adjustment of benefits can seriously threaten project success. Therefore, there is a pressing need to effectively evaluate the project benefits available to various stakeholders and design a dynamic benefit-adjustment mechanism to ensure the successful completion of URT PPP projects. In full consideration of the complexities of projects of this nature and the adaptive behaviors of different stakeholders, a modeling framework was proposed to simulate the realization and dynamic adjustment of project benefits as a complex and comprehensive system defined by the microlevel dynamic behaviors of stakeholders and interactions among these behaviors through agent-based modeling (ABM). The framework was utilized to emulate a real-world URT PPP project for demonstration purposes. Next, two scenarios were simulated that considered the effects of the purchase behavior of the public and decisions concerning benefit adjustment on project benefits. The framework is a powerful decision support tool with regard to the benefits of URT PPP projects in that it can promote the maximization of overall benefits and the sustainability of URT projects.

This study presents an in-depth investigation into the intersection of Building Information Modeling (BIM) and green building practices within China’s rapidly evolving construction industry. As China intensifies its efforts to mitigate environmental impacts and promote sustainable growth, the integration of BIM into green building practices emerges as a crucial area of study. A qualitative research method was adopted in this research. In the first step, utilizing semi-structured interviews with a diverse array of industry professionals, this research provides nuanced insights into the current state and prospects of BIM in the green building landscape. Secondly, thematic analysis is used to formalize the views and points from interviewees. Finally, a novel conceptual framework is proposed, addressing these challenges through technological innovation, supportive policies, cultural and educational reform, economic incentives, and collaborative dynamics. This study contributes a systematic approach to amalgamate BIM with sustainable construction, offering insights for industry professionals and policymakers to promote environmentally conscious building practices in China.

The construction industry has been troubled by a shortage of skilled labor and safety accidents in recent years. Therefore, more and more robots are introduced to undertake dangerous and repetitive jobs, so that human workers can concentrate on higher-value and creative problem-solving tasks. Nevertheless, although human–robot collaboration (HRC) shows great potential, most existing evaluation methods still focus on the single performance of either the human or robot, and systematic indicators for a whole HRC team remain insufficient. To fill this research gap, the present study constructs a comprehensive evaluation framework for HRC team performance in construction projects. Firstly, a detailed literature review is carried out, and three theories are integrated to build 33 indicators preliminarily. Afterwards, an expert questionnaire survey (N = 15) is adopted to revise and verify the model empirically. The survey yielded a Cronbach’s alpha of 0.916, indicating excellent internal consistency. The indicators rated highest in importance were task completion time (µ = 4.53) and dynamic separation distance (µ = 4.47) on a 5-point scale. Eight indicators were excluded due to mean importance ratings falling below the 3.0 threshold. The framework is formed with five main dimensions and 25 concrete indicators. Finally, an AHP-TOPSIS method is used to evaluate the HRC team performance. The AHP analysis reveals that Safety (weight = 0.2708) is prioritized over Productivity (weight = 0.2327) by experts, establishing a safety-first principle for successful HRC deployment. The framework is demonstrated through a case study of a human–robot plastering team, whose team performance scored as fair. This shows that the framework can help practitioners find out the advantages and disadvantages of HRC team performance and provide targeted improvement strategies. Furthermore, the framework offers construction managers a scientific basis for deciding robot deployment and team assignment, thus promoting safer, more efficient, and more creative HRC in construction projects.

Compliance inspection is essential to ensure the quality of the ready-mixed concrete (RMC) supply chain. However, the current RMC compliance inspection is a labor-intensive and time-consuming manual task and lacks efficiency and transparency. This paper proposes a blockchain-based platform to cope with these challenges. Besides, an auto-generation method of smart contract for RMC compliance inspection based on ontology is proposed to reduce the barrier to utilizing blockchain. The framework design and information interaction flow are then demonstrated in detail. Furthermore, the performance of the platform in actual projects is evaluated using a case study. The results indicate that the proposed platform can improve the efficiency, transparency, and traceability of the RMC compliance inspection and facilitate the further applications of blockchain in the construction sector.