## 6 Discussion  
This study develops and tests a conceptual model to examine how the two core constructs of the TAM interact with a set of perceived values that relate to cognitive and emotional factors to influence university students' intention to continue using LLMs to assist in purchasing sustainable products online. Conceptually, university students' assessments of tool value and ease of interaction are key for continued participation. The strong performance of experiential green self-identity confirms that experiential satisfaction reinforces these cognitions rather than replacing them. In contrast, green perceived value and trust transfer value seem to only indirectly boost continue using intention by influencing utility, which echoes their weakened direct paths in the structural equation model. Overall, the evidence from ANN is consistent with the results based on covariance, delineating a hierarchical decision making structure. One layer comprises utilitarian efficacy and self-identity, which jointly drive behavior. Another layer comprises credibility cues and material incentives, which operate as context-dependent supporting factors. In the first place, the research results confirm the central role of perceived value in the LLM context again. Performance expectancy value (PEV) and information quality value (IQV) have a significant direct impact on continue using intention (CUI), consistent with existing research [99; 100]. Perceived ease of use (PEU) and perceived usefulness (PU) \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Neural Network (NN)** & **PEV** & **IQV** & **TTV** & **GPV** & **GSV** & **PEU** & **PU** \\ \hline NN (i) & 0.210 & 0.115 & 0.036 & 0.155 & 0.119 & 0.064 & 0.301 \\ NN (ii) & 0.151 & 0.147 & 0.056 & 0.091 & 0.210 & 0.192 & 0.154 \\ NN (iii) & 0.172 & 0.111 & 0.110 & 0.047 & 0.130 & 0.230 & 0.199 \\ NN (ix) & 0.156 & 0.125 & 0.066 & 0.049 & 0.189 & 0.227 & 0.189 \\ NN (v) & 0.136 & 0.136 & 0.051 & 0.089 & 0.197 & 0.252 & 0.139 \\ NN (vi) & 0.138 & 0.112 & 0.101 & 0.075 & 0.170 & 0.229 & 0.175 \\ NN (vii) & 0.167 & 0.194 & 0.090 & 0.025 & 0.177 & 0.149 & 0.198 \\ NN (viii) & 0.063 & 0.126 & 0.171 & 0.086 & 0.164 & 0.200 & 0.190 \\ NN (ix) & 0.139 & 0.100 & 0.109 & 0.047 & 0.180 & 0.215 & 0.211 \\ NN (x) & 0.090 & 0.062 & 0.109 & 0.166 & 0.131 & 0.179 & 0.263 \\
**Average importance** & 0.142 & 0.123 & 0.090 & 0.083 & 0.167 & 0.194 & 0.202 \\
**Normalized importance (\%)** & 0.615 & 0.545 & 0.403 & 0.345 & 0.737 & 0.857 & 0.867 \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Sensitivity analysis. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Predictor (SEM Path to CUI)** & \begin{tabular}{c} **SEM Standardized** \\ **Path Coefficient** \\ \end{tabular} & \begin{tabular}{c} **ANN Normalized** \\ **Relative Importance** \\ \end{tabular} & \begin{tabular}{c} **SEM Rank** \\ \end{tabular} & \
\begin{tabular}{c} **ANN Rank** \\ \end{tabular} &
\begin{tabular}{c} **Remark** \\ \end{tabular} \\ \hline PEU \(\rightarrow\) CUI & 0.199 & 85.7\% & 1 & 2 & Dominant in both models; very strong convergent evidence \\ \hline GSV \(\rightarrow\) CUI & 0.192 & 73.7\% & 2 & 3 & Consistently high; confirms critical role of enjoyment \\ \hline PU \(\rightarrow\) CUI & 0.166 & 86.7\% & 3 & 1 & Highest in ANN, top three in SEM; instrumental value decisive \\ \hline IQV \(\rightarrow\) CUI & 0.132 & 54.5\% & 4 & 5 & Moderate, significant in SEM and ANN; informational reliability matters \\ \hline PEV \(\rightarrow\) CUI & 0.130 & 61.5\% & 5 & 4 & Mid-tier in both analyses; functional efficacy remains important \\ \hline TTV \(\rightarrow\) CUI & 0.077 & 40.3\% & 6 & 6 & Low importance; non-significant in SEM, minor in ANN \\ \hline GPV \(\rightarrow\) CUI & \(-\)0.008 & 34.5\% & 7 & 7 & Lowest and non-significant across methods; limited direct influence \\ \hline \hline \end{tabular} Note: Ranks are based on the absolute magnitude of the standardized path coefficients.  
\end{table} 
Table 7: SEM and ANN results comparison. both play a partial mediating role [101; 102].