## 5 Discussion  
Survey results evidenced that farmers and agricultural entrepreneurs have a positive attitude towards the e-learning tool (ATT) and manifested the intention to use it (BI). Among the two main TAM determinants, respondents perceived the tool to be more useful (PU) than easy to use (PEOU). The system's most highly feature rated was the quality of the content (CQ) offered through the several courses. A positive perception about the available help and guidelines offered by FARMER 4.0 to facilitate navigation (FC) was also noted. Concerning personal traits, participants manifested at a moderate level to enjoy using the platform (PE). Most of the respondents displayed acceptable levels of experience using similar e-learning platforms (EXP). This was reflected in low levels of anxiety (ANX) and acceptable self-efficacy (SE) reported by individuals when exploring the tool. As for the social level, interviewees declared that their closest social sphere would also approve the tool's use (SN). The TAM proved to be a very helpful theoretical approach to explain farmers' intention to use the FARMER 4.0 e-learning environment. Accordingly, farmers' perception about the usefulness of the tool (PU) was found to have a strong and significant impact on their attitude towards use (ATT), which stands out as the primary determinant of farmers' intention to use (BI). \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**H** & **Results** & **Path** & **SPC** & **Mean** & **STDEV** & **T Stat.** & \(p\) **Value** & **Significant** \\ \hline H11 & Accepted & ATT \(\rightarrow\) BI & 0.694 & 0.697 & 0.070 & 9.858 & 0.000 & Yes \\ H1a & Accepted & CQ \(\rightarrow\) PU & 0.632 & 0.644 & 0.117 & 5.390 & 0.000 & Yes \\ H2b & Accepted & EXP \(\rightarrow\) PEOU & 0.454 & 0.452 & 0.128 & 5.359 & 0.000 & Yes \\ N/A & N/A & FEOU \(\rightarrow\) BI & 0.274 & 0.279 & 0.069 & 3.953 & 0.000 & Yes \\ H10 & Accepted & PEOU \(\rightarrow\) PU & 0.238 & 0.237 & 0.104 & 2.302 & 0.011 & Yes \\ H9a & Accepted & PU \(\rightarrow\) ATT & 0.742 & 0.748 & 0.047 & 15.760 & 0.000 & Yes \\ H6b & Accepted & SE \(\rightarrow\) PEOU & 0.480 & 0.487 & 0.124 & 3.882 & 0.000 & Yes \\ \hline \hline \end{tabular}
\end{table} 
Table 10: New TAM Extension: path significance using percentile bootstrap 95% confidence interval. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Variable** & **R\({}^{2}\)** & **Mean** & **STDEV** & **T Stat.** & \(p\) **Value** & **Significant** \\ \hline ATT & 0.551 & 0.562 & 0.070 & 7.866 & 0.000 & Yes \\ BI & 0.732 & 0.745 & 0.045 & 16.201 & 0.000 & Yes \\ PEOU & 0.729 & 0.743 & 0.063 & 11.605 & 0.000 & Yes \\ PU & 0.583 & 0.612 & 0.126 & 4.640 & 0.000 & Yes \\ \hline \hline \end{tabular}
\end{table} 
Table 9: New Extended TAM: Structural Model. The TAM extension built by [PERSON] et al. [18] based on the literature showed an improvable model fit for the current context of analysis. For this reason, we identified a new TAM extension that better suits the FARMER 4.0 context. The final model showed that potential users of FARMER 4.0 will perceive the e-learning tool to be useful (PU), depending on their perceptions about the quality of the content (CQ) in terms of its relevance and its alignment with their specific information needs. To a lesser extent, PU was also influenced by the PEOU. In turn, PEOU was found to be determined by experience (EXP) and self-efficacy (SE), two variables highly correlated among them. Similar results were reported by [PERSON] et al. [96] and [PERSON] et al. [97]. Model validation results also suggest that PEOU is a predictor of behavioral intention (BI) rather than a determinant of ATT. The absence of significant causal effect of PEOU on ATT is in line with the results obtained by [PERSON] et al. [98] or by [PERSON] [51], who later re-considered the model by eliminating ATT [99]. However, unlike previous studies, ATT seems to mediate PU and BI's relationship, like in work by [PERSON] et al. [100].