## 5 Conclusions  
### Findings and Discussion  
The results of this study elucidate the complex relationships among e-SQ, CS, e-trust, and CUI within e-commerce marketplace platforms. First, the findings confirm the significant positive impact of e-SQ on CS, e-trust, and CUI, thereby supporting hypotheses 1,  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Relationship** & \(\beta\) & **SE.** & **CR.** & \(p\) & **Result** \\ \hline H1. e-SQ \(\rightarrow\) CS & 0.394 & 0.071 & 6.116 & 0.000 *** & Supported \\ \hline H2. e-SQ \(\rightarrow\) e-trust & 0.195 & 0.061 & 3.406 & 0.000 *** & Supported \\ \hline H3. e-SQ \(\rightarrow\) CUI & 0.213 & 0.056 & 3.934 & 0.000 *** & Supported \\ \hline H4. CS \(\rightarrow\) e-trust & 0.579 & 0.060 & 9.209 & 0.000 *** & Supported \\ \hline H5. CS \(\rightarrow\) CUI & 0.466 & 0.067 & 6.563 & 0.000 *** & Supported \\ \hline H6. E-trust \(\rightarrow\) CUI & 0.194 & 0.068 & 2.807 & 0.005 ** & Supported \\ \hline \hline \end{tabular} Note: **_p \(<\) 0.01, ***_p \(<\) 0.001._  
\end{table}
Table 4: Parameter estimates for hypothesized relationships.  
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Relationship** & \multicolumn{2}{c}{**Indirect Effect**} & \\ \cline{2-4}  & \(\beta\) & \(p\) & **Result** \\ \hline H7. e-SQ \(\rightarrow\) CS \(\rightarrow\) CUI & 0.183 & 0.014 * & Supported \\ \hline H8. e-SQ \(\rightarrow\) e-Trust \(\rightarrow\) CUI & 0.038 & 0.004 ** & Supported \\ \hline H9. e-SQ \(\rightarrow\) CS \(\rightarrow\) e-Trust \(\rightarrow\) CUI & 0.044 & 0.004 ** & Supported \\ \hline \hline \end{tabular} Note: *_p \(<\) 0.05, **_p \(<\) 0.01._  
\end{table}
Table 5: Indirect effects used for analyzing mediation.  
2, and 3, respectively. Consistent with the studies by [PERSON] et al. (2014), [PERSON] et al. (2015), [PERSON] et al. (2015), [PERSON] et al. (2016), [PERSON] et al. (2017), and [PERSON] et al. (2018), our study demonstrates that e-SQ is a critical antecedent to CS, e-trust, and CUI. This outcome underscores the important role of e-SQ in shaping customer perceptions and behaviors in digital commerce.  
Additionally, the study demonstrates a strong positive association between CS and e-trust, thus supporting hypothesis 4. This finding is in line with those of the studies by [PERSON] et al. (2017), [PERSON] and [PERSON] (2018), [PERSON] et al. (2018), and [PERSON] et al. (2017), all of which emphasize the foundal role of CS in fostering trust and confidence to sustain long-term relationships and encourage repeat usage. The significant positive impact of CS on CUI supports hypothesis 5, as corroborated by the results of studies by [PERSON] et al. (2018) and [PERSON] et al. (2019), which highlight the importance of prioritizing CS as a key driver of CUI within e-commerce marketplace platforms.  
Moreover, this study confirms the positive influence of e-trust on CUI; hence, hypothesis 6 is supported. This finding is consistent with those of [PERSON] et al. (2018), [PERSON] et al. (2017), and [PERSON] et al. (2018), who underscore the role of e-trust in enhancing customer commitment and fostering sustained usage over time.  
Furthermore, this study reveals the mediating roles of CS and e-trust in the relationship between e-SQ and CUI. The significant indirect effects identified through bootstrap analysis support these mediations; hence, hypotheses 7, 8, and 9 are verified. These findings align with those of [PERSON] et al. (2017), [PERSON] et al. (2017), and [PERSON] et al. (2018), who highlight the importance of CS and e-trust in linking e-SQ to CUI. This result underscores the sequential impacts of CS and e-trust on translating e-SQ into CUI.