## 4 Results
### Measurement Model  
Within the purview of this scholarly investigation, an incisive assessment of the scale's reliability and validity is of utmost importance. The findings, predicated upon three performance metrics, namely, Cronbach's \(\alpha\) coefficient of internal consistency, Composite Reliability (CR), and Average Variance Extracted (AVE), as delineated in Table 3, unequivocally underscore the commendable levels of convergent validity and dependability exhibited by the articulated research model [83]. The calculated [PERSON]'s \(\alpha\) coefficient values, ranging from 0.838 to 0.930, markedly surpass the established threshold of 0.7 [84]. It must be emphasized that an exercise of caution is warranted when interpreting results surpassing the 0.95 threshold, as such an occurrence may indicate serious collinearity issues between variables [85]. Additionally, the computed Composite Reliability (CR), spanning a range of 0.837 to 0.930, consistently exceeds the prescribed baseline of 0.7 [86], thereby  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Variable** & **Description** & **N (\%)** & **Variable** & **Description** & **N (\%)** \\ \hline Gender & Male & 56.2 & Age & Younger than 20 & 2.9 \\  & Female & 43.8 & & 20–29 & 24.8 \\ \hline City & Beijing & 24.2 & & 30–39 & 31.2 \\  & Shanghai & 27.1 & & 40–49 & 22.4 \\  & Guangzhou & 34.4 & & 50–59 & 12.9 \\  & Shenzhen & 14.3 & & Over 60 & 5.8 \\ \hline Education & High school or less & 13.4 & & Less than 5000 & 24.8 \\  & College & 39.6 & & 5001–8000 & 26.3 \\  & University & 43.7 & & 8001–12,000 & 20.9 \\  & Postgraduate degree & 3.3 & & 12,001–15,000 & 18.9 \\  & & & & Over 15,0001 & 9.1 \\ \hline \hline \end{tabular}
\end{table}
Table 2: Demographic characteristics of respondents.  
attesting to its conformance with the established standard. The salience of the Average Variance Extracted (AVE) coefficient, a cardinal gauge of convergent validity, is evidenced by the attained range of 0.565 to 0.773. As expounded by [PERSON] and [PERSON], an AVE coefficient exceeding 0.5 signifies the robustness of convergent validity [87]. Furthermore, the tenet of discriminant validity, signifying the discernment between distinct factors, is upheld. This is substantiated by the observation that the square root of the AVE for a given internal construct supersedes the corresponding correlation coefficient between said construct and other constructs, an outcome congruent with the benchmarks laid out by [PERSON] and [PERSON] [88]. Construct validity, a fundamental pillar of this scholarly endeavor, is realized through the criterion of convergent validity, as stipulated by the criterion of a factor loading coefficient exceeding 0.5. The survey items featured within the questionnaire, having been extracted, adapted, and refined from pre-existing research paradigms, exhibit commendable content validity. In summation, both the dimensions of reliability and validity collectively substantiate the veracity and rigor of this study's underpinning methodology.  
\begin{table}
\begin{tabular}{c c c c c c c c c c c c c} \hline \hline
**AVE** & **PE** & **EE** & **SI** & **FC** & **BI** & **PR** & **SA** & **PFV** & **PEV** & **PPV** & **Items** & **Factor Loading** \\ \hline \multirow{2}{*}{PE