## 5 Analysis and Discussion of the Results
For questions B8 (\"Evaluate the state of the organization's current digital adoption for the following technology categories\") and B9 (\"Classify the various departments of the organization based on their ability to adapt to technological change\") the respondents must classify ten technological categories (categories 1-10) and nine departments within a specific ordinal scale. Therefore, in question B8, the scale used for each of the categories was: (1) \"Nothing prepared\", (2) \"Unprepared\", (3) \"Prepared\", (4) \"Fully prepared\" and (N/A) \"Not applicable\", and for question B9 the following scale was used for each department of the organization: (1) \"Not agile\", (2) \"Not very agile\", (3) \"Agile\", (4) \"Extremely agile\" and (N/A) \"Not applicable\". Thus, starting with a detailed analysis of the answers obtained for question B8, it is worth noting the large number of respondents who pointed out that \"Blockchain\" and \"IoT Technology/Sensors\" are technological categories that are not yet applied in their organization (N/A) (\"Not Applicable\"). It should be noted that these categories are examples of innovation accelerators (see Section 2.2) and they should not be used without careful analysis of the organization's needs and strategy, such constraints mean that most Portuguese organizations still do not apply them. Figure 2: Component plot in the rotated space. In relation to categories with which the organizations have a greater degree of preparation, it has been verified that the one for which the organizations are more prepared are the 4 pillars of DT (\"Agile Collaboration Tools\" (category 8), \"Mobility\" (category 1), \"Cloud Solutions\" (category 2), and \"Big Data & Analytics\" (category 3) and also the categories \"Robotics/Automation\" (category 7) and \"Virtual reality/Augmented reality\" (category 6). In order to evaluate if the general feeling of the organization when it comes to technological disruption (question A4) had a significant influence on the opinion of the degree of preparation of the current digital adoption in relation to the ten technological categories (question B8), we used [PERSON]'s non-parametric test for each of the categories. According to the results obtained, we conclude that question A4 only has a significant influence on the opinion of the respondents regarding the degree of preparation of \"Blockchain\" (category 10), as shown in Table 2 (\(p\)-value (Sig.) = 2.3% <5%). However, the Kruskal-Wallis test does not indicate which of the feelings (question A4) had a significant effect on the respondents' opinion of the degree of preparation in category 10. Therefore, to perform this identification process proceeded on to multiple comparison of the order using the [PERSON] test statistic [46; 47]. Using the unadjusted asymptotic \(p\)-value (Sig.) (Table 3), we can conclude that the significant differences occur between the general feeling \"Eventually the organization will adapt\" and \"Helps in the conquest of new markets\" and between \"Eventually the organization will adapt\" and \"Provides new opportunities to improve business\" (\(p\)-value = 0.3% and 1, 2%, respectively). Moreover, observing Figure 3, we can also conclude that all the respondents who expressed as a general feeling of the organization \"Eventually the organization will adapt\" as an option, present as to the degree of preparation of the category \"Blockchain\", distribution significantly different from the others that affirmed there is another feeling. It should also be noted that in this option all organizations are unprepared. We also found, as revealed in Figure 4, that the options in question A4 that most influenced the evaluation of the respondents regarding the degree of preparation of the \"Blockchain\" are \"Eventually the organization will adapt\" and \"Helps in the conquest of new markets\" (boxplot and yellow line).