Abstract: Under the wave of intelligent construction, intelligent welding technology holds significant importance for steel structure processing enterprises, yet current adoption remains slow with insufficient exploration of willingness to use. Integrating TAM, TOE, and UTAUT models, this study analyzes survey data from steel structure processing enterprises across multiple regions using Smart PLS-based structural equation modeling. Results reveal that relative advantages, compatibility, management support, organizational level, policy support, and performance expectations positively influence adoption intentions, while complexity, implementation costs, and effort expectations exhibit negative impacts. Market competition shows insignificant effects. Accordingly, enterprises should prioritize simplifying technical operations, highlighting efficiency advantages, and enhancing organizational capabilities to accelerate digital transformation in the steel structure processing industry.