## 4 Results and Discussion  
**Hypothesis 1. **_Exploitation of big data concept and supply chain management shortens the delivery time of materials and services in sustainable building project._  
**H10. **_Exploitation of big data concept and supply chain management doesn't shorten the delivery time of materials and services in sustainable building project._  
**H11. **_Exploitation of big data concept and supply chain management shortens the delivery time of materials and services in sustainable building project._  
The big data concept and supply chain management systems represent work with data at the highest level. Therefore, these technologies represent investments that are expected to return. When monitoring 55 projects, the level of use of SCM systems and the big data concept were observed, and their impact on economic sustainability. In this case, it was assumed that the level of use of these technologies correlates with the time of delivery of material. The basis of this assumption is that these intelligent technologies are efficient in processing large amounts of data, and their use reveals the need for material. Subsequently, management can respond more quickly, resulting in a faster flow of material delivery, from ordering to delivery. Figure 2 shows the relationship between the level of use of the big data concept and SCM and material delivery time in days. As can be seen from the data trend, the higher the BD and SCM utilization rates, the shorter the material delivery time. Most respondents confirmed this. This trend needed to be statistically examined. The correlation coefficient analysis shows that in the given case from the obtained data, it is not only a trend, but these results are not random. The relationship between the variables, i.e., the level of use of big data and SCM and material delivery time in days (Figure 3) is strongly dependent. There is a strong negative correlation between these animations, which is also confirmed by the correlation coefficient \(-0.92171\) (Table 2). The following Table 3 describes the individual values and the correlation coefficient calculation, including the degrees of freedom. All the results point to a strong negative relationship between these variables. The results and statistical processing clearly show a strong correlation, and the results can be considered significant. Figure 3: **(left)** Correlation between the examined variables (level of SCM and BD usage for material delivery time in days and (right) linear correlation between variables \begin{table}
\begin{tabular}{c c c} \hline \hline  & **SCM and BD Use Level = x** & **Material Delivery Time in Days = y** \\ \hline SCM and BD use level = x & 1 & \\ Material Delivery Time in days = y & \(-0.921711092\) & 1 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Pearson correlation (SCM and BD use level and material delivery time in days). Figure 2: Relationship between SCM and BD use level and material delivery time in days. **Hypothesis 2**. : _Exploitation of big data concept and supply chain management shortens construction time._  
**H20. **_Exploitation of big data concept and supply chain management doesn't shorten construction time._  
**H21. **_Exploitation of big data concept and supply chain management shortens construction time._  
It has been mentioned several times that information technologies help process large amounts of data and increase working with data. When designing buildings and all construction projects, a large amount of data is used. Therefore, these technologies should contribute to efficiency. Economic sustainability in the design and planning of buildings and projects is also based on faster construction times. With their efficiency, these technologies should contribute to shortening the construction time of sustainable buildings. The relationship between the level of use of these systems and the construction time is also shown in the following Figures 4 and 5. The relationship between the investigated variables is shown in the following graphs.