## 5 Discussion  
Through the results obtained, it was possible to confirm the positive influence relationship between social influence and purchase intention (H\({}_{1}\)); that is, it was validated that tourist UGC influences purchase intention through the social influence variable. In other words, whoever communicates UGC on TikTok about the tourist product significantly influences the intention to purchase a certain tourist product. \begin{table}
\begin{tabular}{c c c c c c c c} \hline  & \multicolumn{2}{c}{**Original Sample**} & \multicolumn{2}{c}{**Sample Mean**} & \multicolumn{2}{c}{**Standard Deviation**} & \multicolumn{1}{c}{**T Statistics**} & \multicolumn{1}{c}{\(p\) **Values**} & \multicolumn{1}{c}{**Hypothesis**} \\ \hline H\({}_{1}\) & SI \(\rightarrow\) PI & 0.495 & 0.497 & 0.076 & 6.511 & 0.000 & Supported the influence \\ \hline H\({}_{2}\) & SI \(\rightarrow\) UI & 0.466 & 0.465 & 0.064 & 7.296 & 0.000 & Supported the influence \\ \hline H\({}_{3}\) & NI \(\rightarrow\) UI & 0.127 & 0.128 & 0.054 & 2.349 & 0.019 & Supported the influence \\ \hline H\({}_{4}\) & PC \(\rightarrow\) UI & 0.372 & 0.373 & 0.061 & 6.075 & 0.000 & Supported the influence \\ \hline H\({}_{5}\) & UI \(\rightarrow\) PI & 0.245 & 0.240 & 0.078 & 3.133 & 0.002 & Supported the influence \\ \hline H\({}_{6}\) & PR \(\rightarrow\) PI & \(-0.075\) & \(-0.071\) & 0.079 & 0.951 & 0.342 & Not supported \\ \hline \end{tabular}
\end{table} 
Table 15: Bootstrapping Results (Centennials). Source: Own elaboration. \begin{table}
\begin{tabular}{c c c c c c c} \hline  & \multicolumn{2}{c}{**Original Sample**} & \multicolumn{2}{c}{**Sample Mean**} & \multicolumn{2}{c}{**Standard Deviation**} & \multicolumn{1}{c}{**T Statistics**} & \multicolumn{1}{c}{\(p\) **Values**} & \multicolumn{1}{c}{**Hypothesis**} \\ \hline H\({}_{1}\) & SI \(\rightarrow\) PI & 0.575 & 0.58 & 0.092 & 6.227 & 0.000 & Supported the influence \\ \hline H\({}_{2}\) & SI \(\rightarrow\) UI & 0.271 & 0.275 & 0.096 & 2.822 & 0.005 & Supported the influence \\ \hline H\({}_{3}\) & NI \(\rightarrow\) UI & 0.015 & 0.033 & 0.102 & 0.143 & 0.886 & Not supported \\ \hline H\({}_{4}\) & PC \(\rightarrow\) UI & 0.561 & 0.558 & 0.119 & 4.733 & 0.000 & Supported the influence \\ \hline H\({}_{5}\) & UI \(\rightarrow\) PI & 0.284 & 0.271 & 0.121 & 2.352 & 0.019 & Supported the influence \\ \hline H\({}_{6}\) & PR \(\rightarrow\) PI & \(-0.101\) & \(-0.089\) & 0.084 & 1.194 & 0.232 & Not supported \\ \hline \end{tabular}
\end{table} 
Table 14: Bootstrapping Results (Millennials). Source: Own elaboration. The results obtained through the structural equation model supported the positive relationship between social influence and information usefulness (H\({}_{2}\)) in both sample groups under study: Millennials and Centennials. It means, in practice, that the TikTok user's interaction with other individuals or groups of individuals, that is, between those who communicate information and those who receive it, positively influences the usefulness attributed to tourist UGC present on this online social network. Regarding the need for information that positively influences its usefulness (H\({}_{3}\)), it was only validated for Centennials and was rejected for the sample of Millennials. Concerning the Centennials sample, a positive relationship was confirmed between the need for information and the usefulness of information; that is, the information-seeking behaviour of a TikTok user, resulting from a need they feel, will, predictably, lead you to find tourism UGC, on this social platform, with useful information for your decision-making process when purchasing tourist products [69].