Influencing factors of user acceptance and adoption of e-government AI assistants: An empirical study based on the extended UTAUT2 model

In the context of digital government transformation, e-government AI assistants represent a critical component in the intelligent upgrading of government services, where understanding user adoption behavior becomes essential for enhancing service effectiveness. Building upon the extended UTAUT2 model, this study incorporates Trust in AI (TIAI) and Perceived Privacy Protection (PPP) to construct a comprehensive framework examining the adoption mechanisms of government service applications. The research specifically investigates how performance expectancy, effort expectancy, and social influence shape users' behavioral intentions and actual usage patterns. Through PLS-SEM analysis of 513 valid questionnaire responses, the study reveals several key findings. Social influence emerges as the most significant predictor of usage intention (β=0.277, p