## 3 Hypothesis Development and Research Model  
This study constructs a theoretical model based on the aforementioned theories to explore the driving mechanisms behind university students' continued use of LLMs in online green shopping. By integrating five dimensions of perceived value--performance expectancy value, information quality value, trust transfer value, green perceived value, and green self-identity value--and introducing perceived ease of use and perceived usefulness as mediating variables, the model forms direct and indirect paths to analyze the intention to continue using LLMs. Hypotheses are proposed to validate their influence. In this study, performance expectancy value (PEV) is defined as the extent to which university student consumers expect the use of LLMs to enhance the efficiency and accuracy of their online selection of green products [32; 33]. PEV is a critical factor in technology adoption intention [34]. In the domain of sustainability, [PERSON] et al. [35] have demonstrated that PEV has a positive influence on users' adoption of innovative technologies. This suggests that positive PEV can enhance users' perceived validity of LLMs' technological capabilities in sustainable decision making and promote their continued adoption of the technology. Therefore, this study considers PEV as one of the important motivating factors, and the following hypothesis is proposed. _Performance expectancy value positively influences university students' continue using intention of LLMs in the context of online consumption of sustainable products._  
Information quality value (IQV) is defined as the ability of LLMs to provide personalized, precise information tailored to the background and needs of environmentally conscious consumers [36]. Due to consumers' preference for green products, many companies have adopted green marketing strategies in order to create competitive advertising [37; 38]. In the context of an environment inundated with green marketing information, users'  
Figure 1: Research theoretical model. capacity to screen and process information is constrained [39]. At this juncture, the IQV of LLMs assumes particular significance. Specifically, the technical characteristics of LLMs enable them to understand users' needs for sustainable development through language interaction [14; 39], and their algorithms can filter out redundant and false advertising information to simplify the screening of products or services [40], thereby significantly reducing the cognitive load of university students' green consumption decisions. Consequently, the following hypothesis is proposed. **H2. **: _Information quality value positively influences university students' continue using intention of LLMs in the context of online consumption of sustainable products._  
Trust transfer value (TTV) is defined as the psychological mechanism through which university students adopt sustainable products recommended by familiar LLMs when those LLMs suggest unfamiliar green products based on their initial trust in the LLMs' system [41]. This perspective originates from the supposition that TTV signifies the extent to which an individual's trust in a familiar object is transferred to related unknown targets [42]. Specifically, consumers' initial trust in LLMs may effectively alleviate their doubts and uncertainties about the recommended green products [43; 44]. Furthermore, LLMs recommend green products that align with users' environmental values, thereby fostering a personalized experience that deepens university students' trust in the green products recommended by LLMs [45; 46]. This transfer of trust exerts a significant influence on users' cognitive processes, resulting in a series of positive outcomes, including the increased adoption of LLMs [47]. However, as [PERSON] and [PERSON] [48] have observed, TTV may be subject to variation depending on the extent to which different user groups utilize LLMs.