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Under China’s dual-carbon strategy, the construction sector still lacks a systematic quantitative view of what drives its shift to a circular economy. This study couples the Decision-Making Trial and Evaluation Laboratory (DEMATEL) with Total Adversarial Interpretive Structural Modeling (TAISM) to build a weighted, multi-layer model of the policy–market–organization–technology chain. DEMATEL measures causal strengths, and TAISM arranges the variables into five levels without subjective thresholds, revealing a five-stage activation pathway. Fiscal incentives and regulations start the cascade; market demand amplifies their effect into a “resonant resilience” mechanism that improves cost performance. Robustness tests show 87% hierarchy stability and causal variation within ±0.6%. Sensitivity checks indicate that policy support must supply at least 30% of total network weight, because market capital alone cannot meet circular-construction costs. A three-tier intervention—policy incentives, financial amplification, and digital decomposition via green finance, BIM, and material passports—is therefore recommended. Full article

The ongoing shift from an industrial to a digital economy is a significant global phenomenon. However, the driving forces behind and the tactical approach to digital transformation are still unclear to the construction industry, thereby posing challenges for construction enterprises seeking to undergo digital transformation. Therefore, this paper conducted an investigation on the subject, including the following: (1) the 17 influencing factors in the complex system of digital transformation of construction enterprises were screened and summarized from four perspectives: Environment, Technology, Organisation, and Resources. The attributes of the influencing factors were analyzed using the Decision-Making Experimentation and Evaluation Laboratory (DEMATEL) method, and the key factors were identified. (2) The Total Adversarial Interpretive Structure Model (TAISM) method was used to develop a multi-perspective adversarial recursive structure model with integrated impact values, which reflected the interrelationships between the influencing factors and the hierarchical structure. (3) Based on the analysis of the influencing factors of digital transformation of construction enterprises, the clear path mechanisms were elucidated and suggested measures from the internal and external perspectives of government and construction firms were recommended. The results can offer theoretical backing and serve as a stepping stone for the digital transformation of the construction industry. Full article