As intelligent construction advances, understanding how subsystems within digital twin (DT) architectures interact to drive Collaborative Project Performance (CPP) becomes essential. This research explores internal collaborative mechanisms among Ubiquitous Sensing Network (USN), Semantic Knowledge Fusion (SKF), Algorithmic Decision Making (ADM), and Interoperability Standards (IS). Guided by Resource Orchestration and Complementarity theories, it aims to examine how resources are orchestrated via structuring, bundling, and leveraging, offering insights for digital coordination.
This research adopts structural equation modeling (SEM) and moderated mediation analysis based on survey data from intelligent construction projects. It examines direct effects of USN, SKF, and ADM on CPP, sequential mediating roles of SKF and ADM, and whether IS moderates the USN-SKF and SKF-ADM relationships.
Results indicate that USN, SKF, and ADM positively contribute to CPP, with SKF showing the strongest effect. SKF and ADM mediate the relationship between USN and CPP, consistent with a theoretically grounded structuring-bundling-leveraging trajectory. The moderating effects of IS on the USN-SKF and SKF-ADM relationships are not statistically significant. Nevertheless, the interaction coefficients exhibit different directional patterns, indicating potential stage-contingent boundary conditions that warrant further investigation.
This research contributes to the literature by systematically modeling the coupling logic of DT subsystems from an integrated Resource Orchestration Theory and Complementarity perspective. It offers implications for prioritizing data governance, optimizing subsystem integration, and further examining how interoperability conditions may shape resource orchestration across different stages. Findings support intelligent transformation through coordinated resource orchestration across DT subsystems.
