## 5 Discussion  
According to the knowledge management-based service science theory by [18] and the diffusion of innovation theory of [19], a city government should integrate its technological resources and competencies to manage acquired knowledge and enhance e-service delivery \begin{table}
\begin{tabular}{c c c c c} \hline \hline  & **Essence** & **Results (Effects)** & \multicolumn{2}{c}{**Factors of Influence**} \\ \cline{3-5} \cline{4-5}  & & **Positive** & **Negative** \\ \hline \multirow{2}{*}{Hypothesis 1} & AI-based technology-oriented knowledge & \multirow{2}{*}{Supported} & \multirow{2}{*}{Direct impact} & \multirow{2}{*}{-} \\  & management \(\rightarrow\) E-service Delivery & & & \\ \hline \multirow{2}{*}{Hypothesis 2} & AI-based technology-oriented knowledge & \multirow{2}{*}{Supported} & \multirow{2}{*}{Direct impact} & \multirow{2}{*}{-} \\  & management \(\rightarrow\) Innovation success & & & \\ \hline \multirow{2}{*}{Hypothesis 3} & Innovation \(\rightarrow\) E-service Delivery & \multirow{2}{*}{Supported} & \multirow{2}{*}{Direct impact} & \multirow{2}{*}{-} \\  & management \(\rightarrow\) Innovation & & & \\ \hline \multirow{2}{*}{Hypothesis 4} & AI-based technology-oriented knowledge & \multirow{2}{*}{Supported} & \multirow{2}{*}{Mediating impact} & \multirow{2}{*}{-} \\  & management \(\rightarrow\) Innovation & & & \\ \hline \multirow{2}{*}{Hypothesis 5} & E-goverance \(\rightarrow\) E-service Delivery & \multirow{2}{*}{Supported} & \multirow{2}{*}{Direct impact} & \multirow{2}{*}{-} \\  & Innovation \(\rightarrow\) E-goverance & \multirow{2}{*}{Supported} & \multirow{2}{*}{Moderating impact} & \multirow{2}{*}{-} \\  & Delivery & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Generalization of the hypotheses of artificial intelligence-based technological oriented knowledge management, innovation, and e-service delivery in smart cities. \begin{table}
\begin{tabular}{l c c c c c} \hline \hline \multicolumn{1}{c}{**Variables**} & \multicolumn{3}{c}{**Dependent Variable E-Service Delivery**} & \multicolumn{2}{c}{**DV: Innovation**} \\ \hline \hline \multicolumn{1}{c}{} & **Model 1** & **Model 2** & **Model 3** & **Model 4** & **Model 5** \\ \hline \multicolumn{1}{c}{_Independent Variables_} & & & & & \\ (Constant) & 4.500 (0.1118) *** & 1.207 (0.139) *** & 1.398 (0.144) *** & 2.309 (0.379) *** & 1.066 (0.080) *** \\ Education & 0.043 (0.017) *** & 0.005 (0.011) & 0.006 (0.011) & 0.004 (0.011) & 0.006 (0.007) \\ Gender & 0.099 (0.050) ** & 0.172 (0.033) *** & 0175 (0.032) *** & 0.177 (0.032) *** & 0.064 (0.021) *** \\ Exp & 0.300 (0.036) *** & 0.100 (0.024) *** & 0.091 (0.024) *** & 0.086 (0.024) *** & 0.026 (0.016) *** \\ Knowledge Mgt. & & 0.309 (0.053) *** & 0.388 (0.055) *** & 0.370 (0.050) *** & 0.766 (0.014) *** \\ Innovation & & 1.027 (0.063) *** & 1.283 (0.086) *** & 0.935 (0.159) *** & 0.766 (0.014) *** \\ E-Goverance & & 0.223 (0.051) *** & 0.447 (0.100) *** & \\ \multicolumn{1}{c}{_Moderating effect_} & & & & \\ \multicolumn{1}{c}{_Moderating effect_} & & & & & \\ \multicolumn{1}{c}{_Moderating effect_} & & & & & \\ \multicolumn{1}{c}{_Knowledge Mgt. \(\rightarrow\) Innovation \(\rightarrow\) E-Service Delivery_} & & & \multicolumn{2}{c}{_(Sobel Test)_} & 12.114 (0.282) *** \\ N & 569 & 569 & 569 & 569 & 569 \\ R & 0.344 & 0.798 & 0.805 & 0.808 & 0.931 \\ R\({}^{2}\) & 0.118 & 0.637 & 0.649 & 0.653 & 0.866 \\ Std. Error & 0.588 & 0.378 & 0.372 & 0.370 & 0.250 \\ F Models & 25.316 *** & 197.424 *** & 172.96 *** & 150.738 *** & 912.608 *** \\ Durbin-Watson & 1.704 & 1.993 & 2.032 & 2.045 & 1.882 \\ \hline \multicolumn{1}{c}{**Correlation is significant at the 0.01 level (2-tailed); *** Correlation is significant at the 0.001 level (2-tailed).} \\ \end{tabular}
\end{table} 
Table 4: Multiple regression analysis—the effect of AI-based KM, innovation, and e-goverance on e-service delivery.