## 5 Analysis and Discussion of the Results
With the results obtained, we conclude that the majority (66.2%) of respondents think that their organizations are capable or very capable of implementing adequate adaptation, although a significant segment of 27.3% of the respondents think that their organizations are incapable or quite incapable. For question C2 (\"Evaluate (next 12-18 months) the priorities in the implementation of DT in the organization\"), for the same technology categories of question B8, the respondents must classify the ten technologies within the following scale ranging: \"No priority\" (1), \"Low priority\" (2), \"Strong priority\" (3), \"Total priority\" (4) and (N/A) \"Not applicable\". \begin{table}
\begin{tabular}{l c c} \hline \hline
**Dimension** & **Cronbach’s Alpha** &
\begin{tabular}{c} **Variance Accounted For** \\ \end{tabular} \\ \cline{2-3}  & \multicolumn{2}{c}{**Total (Eigenvalue)**} \\ \hline
1 & 0.813 & 3.469 \\
2 & 0.743 & 2.727 \\ Total & 0.9432  & 6.197 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Model summary rotation. \begin{table}
\begin{tabular}{l c c} \hline \hline \multicolumn{3}{c}{**Rotated Component Loadings 1**} \\ \hline \hline \multirow{2}{*}{**Departments**} & \multicolumn{2}{c}{**Dimension**} \\ \cline{2-3}  & **1** & **2** \\ \hline IT & 0.411 & \(-\)0.162 \\ Marketing & 0.074 & **0.881** \\ Sales/Business & 0.049 & **0.966** \\ Manufacturing/Logistics & **0.854** & 0.104 \\ Customer service & **0.825** & 0.175 \\ Product management & 0.557 & 0.666 \\ Human resources & **0.794** & 0.528 \\ Legal department & 0.688 & 0.438 \\ Retail & 0.685 & 0.185 \\ \multicolumn{3}{c}{Variable Principal Normalization.} \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Principal components extracted from CATPCA. The technological category that the respondents pointed out more frequently as a response to \"Not applicable (N/A)\" is \"3D printing\". In relation to technological categories that the respondents of organizations evaluate as high priority to the implementation of DT in their organization, we conclude that these are the 4 pillars of DT (\"Agile Collaboration Tools\", \"Mobility\", \"Cloud Solutions\" and \"Big Data & Analytics\"). Finally, with the objective of evaluating and comparing the current state of digital adoption in respect of the preparation of these in relation to the prevailing technological categories, with the future priorities of the organizations in the implementation of DT in Portuguese organizations we started by comparing the importance of technological categories, both in Present and in the Future (Questions B8 and C2). For this purpose, we applied the CATPCA with Equamax rotation (Table 6 and Figure 5) and also the graphical representation of the average degrees assigned to each of the technological categories, in the present and the future (Figure 6), as this was the descriptive measure which was more discriminating in the comparison of categories. Table 6 and Figure 5 show that the technological categories most closely related to Dimension 1 are:  
* In the present (P): \"IoT/Sensors\", \"3D printing\", \"Big Data/Analytics\", \"AI\", \"VR/AR\" and \"Agile tools\". * In the future (F): \"VR/AR\", \"3D printing\", \"IoT/Sensors\", \"AI\", \"Robotics/Automation\" and \"Blockchain\". For Dimension 2 they are:  
* In the present (P): \"Mobility\", \"Robotics/Automation\" and \"Cloud Solutions\". * In the future (F): \"Agile tools\", \"Cloud Solutions\", \"Big Data/Analytics\" and \"Mobility\". Figure 5: Position of the original variables (B8 and C2) after CATPCA in the two retained dimensions. Figure 6: State of adoption (present)/priority (future) in implementation of the ten technology categories (1-Mobility, 2-Cloud solutions, 3-Big Data Analytics, 4-IoT/Sensors, 5-3D printing, 6-VR/AR, 7-Robotics/Automation, 8-AI, 9-Agile tools and 10-Blockchain).