## 5 Results' Analysis
### Structural Equation Modeling and Hypothesis Testing  
The structural model encompasses the evaluation of path coefficients and model fit. The SEM employed in this study is fully saturated, indicating that all direct effects between latent constructs have been freely estimated. Specifically, the covariance matrix generated through SEM is found to be entirely consistent with the observed covariance matrix, thereby \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Measurement Indicators** & **CMIN** & **DF** & **CMIN/DF** & **RMR** & **GFI** & **TLI** & **CFI** & **RMSEA** \\ \hline Reference Standard & - & - & \textless{}3 & \textless{}0.05 & \textgreater{}0.9 & \textgreater{}0.9 & \textgreater{}0.9 & \textless{}0.05 \\ Measured Value & 980.938 & 712 & 1.378 & 0.039 & 0.926 & 0.982 & 0.983 & 0.025 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Fit index measurements. eliminating the need for any additional tests beyond those already incorporated within the CFA measurement model. This robust model fit lends credence to the conclusions derived from the model parameters and the overarching theoretical framework. The factors under consideration in this study encompass five independent variables, two mediating variables, and one dependent variable. The final structural model was obtained by applying the modeling section's refinement criteria and comprises 40 items. Moreover, the study was subjected to 5000 iterations of bootstrapping to ascertain the significance of each path. As illustrated in Figure 4, as well as in Tables 3 and 4, the measured variables demonstrate clear relationships. First, each path's standardized coefficients and significance were analyzed [91], as illustrated in Figure 4 and Table 3. Regarding the antecedent variables of perceived ease of use (PEU), among the perceived value variables, performance expectancy value (PEV) (\(\beta\) = 0.167, \(p\) < 0.05), information quality value (IQV) (\(\beta\) = 0.184, \(p\) < 0.05), and green perceived value (GPV) (\(\beta\) = 0.184, \(p\) < 0.05) all had positive and significant effects. In contrast, trust transfer value (TTV) (\(\beta\) = 0.051, \(p\) = 0.238) and green self-identity value (GSV) (\(\beta\) = 0.081, \(p\) = 0.107) were not significant. Moreover, perceived usefulness (PU) is shaped by a range of broader drivers. In particular, all perceived value factors made significant contributions, including PEV (\(\beta\) = 0.164, \(p\) < 0.05), IQV (\(\beta\) = 0.121, \(p\) < 0.05), TTV (\(\beta\) = 0.099, \(p\) < 0.05), GPV (\(\beta\) = 0.174, \(p\) < 0.05), and  
Figure 4: SEM testing results. GSV (\(\beta\) = 0.148, \(p\) < 0.05). The results of H16 also demonstrated a positive effect of PEU (\(\beta\) = 0.216, \(p\) < 0.05). Subsequently, the present study examined the effects of direct paths. The continue using intention (CUI) was found to be significantly influenced by GSV (\(\beta\) = 0.192, \(p\) < 0.05), PEU (\(\beta\) = 0.199, \(p\) < 0.05), PU (\(\beta\) = 0.166, \(p\) < 0.05), IQV (\(\beta\) = 0.132, \(p\) < 0.05), and PEV (\(\beta\) = 0.130, \(p\) < 0.05). Consequently, H1, H2, H5, H17, and H18 are supported. The findings indicated that TTV (\(\beta\) = 0.077, \(p\) = 0.058) and GPV (\(\beta\) = \(-\)0.008, \(p\) = 0.877) were not significant, thereby leading to the rejection of H3 and H4. The standardized coefficients' relative magnitudes confirm the role of perceived value cues in enhancing university students' expectations regarding the use and functionality of LLM-assisted consumption. Lastly, Table 4 presents the indirect effect analysis between perceived value variables and university students' intention to continue using LLM-assisted sustainable product consumption, emphasizing the mediating role of TAM variables. As demonstrated in research by [PERSON] et al. (2019), deviance correction-guided mediation tests confirmed that the majority of antecedent structures exerted significant indirect effects on university students' intentions to continue using LLM-assisted online consumption.