# The New Era of Business Digitization through the Implementation of 5G Technology in Romania
## 4 Results
To demonstrate whether there are any relations between the field of activity, the size and the environment in which the economic entity activates and the time period in which the new 5G technology will be implemented, as well as the implementation costs that the economic entities participating in the study are willing to use for implementing 5G technology, we apply the Pearson correlation coefficient._  
We notice that, between the five variables analyzed, there is a dependency link (Table 9), especially between the variable domain of activity and time or costs, so we can say that the economic entities operating in a certain domain are willing to implement the 5G technology much faster and to allocate higher costs for this activity (Table 10). Also, between the size of the economic entity and the costs they are willing to pay for the implementation of 5G technology, there is a directly proportional dependency relationship (Table 11), so we can say that large economic entities are willing to pay more for the implementation of the new technology. We note that the economic entities working in the extractive industry desired the fastest implementation of new 5G technologies, but the share of expenses they are willing to bear is only 5%. Most of the economic entities surveyed agreed with the implementation of new technologies as soon as possible or within a maximum period of 5 years (225 of the \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline  & \multicolumn{4}{c}{**Time**} & \multicolumn{4}{c}{**Costs**} \\ \cline{2-9}
**Field of Activity** & **As Soon as Possible** & **In the Next 5 Years** & **In the Next 10 Years** & **I Don’t Know/I Don’t** & **5\%** & **5–10\%** & **10–20\%** & **20–30\%** \\ \hline Extractive industry & 28 & 0 & 0 & 0 & 28 & 0 & 0 & 0 \\ Manufacturing industry & 4 & 31 & 0 & 0 & 35 & 0 & 0 & 0 \\ Production and supply of electricity, heat, gas and water & 0 & 7 & 0 & 0 & 7 & 0 & 0 & 0 \\ Water distribution, sanitation & 0 & 15 & 0 & 0 & 15 & 0 & 0 & 0 \\ and waste management & 0 & 45 & 0 & 0 & 3 & 42 & 0 & 0 \\ Construction & 0 & 68 & 0 & 0 & 0 & 18 & 50 & 0 \\ Trade & 8 & 19 & 4 & 0 & 8 & 7 & 16 & 0 \\ Transport and storage & 0 & 0 & 38 & 0 & 2 & 6 & 15 & 15 \\ Hotels and communication & 0 & 0 & 8 & 0 & 2 & 6 & 0 & 0 \\ Education & 0 & 0 & 4 & 0 & 4 & 0 & 0 & 0 \\ Health and social assistance & 0 & 0 & 28 & 0 & 5 & 16 & 0 & 7 \\ Administrative services & 0 & 0 & 3 & 16 & 0 & 0 & 0 & 19 \\ \hline Total & 40 & 185 & 85 & 16 & 109 & 95 & 81 & 41 \\ \hline \hline \end{tabular}
\end{table} 
Table 10: The result of the cross-analysis of the activity/time/cost domain variables. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Variables** & **Field of Activity** & **Size of the Entity** & **Environment** & **Time** & **Cost** \\ \hline Field of activity & 1 & & & & & \\ Size of the entity & 0.776 ** & 1 & & & \\ Environment & 0.673 ** & 0.775 ** & 1 & & & \\ Time & 0.837 ** & 0.560 ** & 0.508 ** & 1 & ** & \\ Cost & 0.752 ** & 0.722 ** & 0.506 ** & 0.610 ** & 1 & \\ Sig. (2-tailed) & 0.000 & 0.000 & 0.000 & 0.000 & 0.000 \\ N & 326 & 326 & 326 & 326 & 326 \\ \hline \hline \end{tabular}
\end{table} 
Table 9: Pearson rank correlation index for the variables analyzed. economic entities analyzed) and regarding the implementation costs, 214 of them agreed with the increase of the expenses to a share of maximum 10% compared to the current technological costs. From the information presented in Table 10, we can conclude that the economic entities in the sphere of services and public administration would agree with an increase of technological costs with a share of more than 10%.