## 3 Results and Discussion
In terms of the most significant impact on implementing ICT for life cycle cost management, it is possible to define a significant level (3.954) of economic factors. Thus, in addition to the investment costs, the operating costs and the costs for the employees who will manage the selected technologies must be included. The research also included questions focused on using information and communication technologies and their impact on LCC. This impact was mentioned by several respondents, based on which the Kruskal-Wallis test was also carried out to determine if results were statistically significant. Due to the implementation and use of ICT, the value of cost savings was 10% to 15%. The use of ICTs can increase efficiency, which has a limited impact on achieving optimization or a reduction in costs, and costs in terms of the entire life cycle of the construction. Monitoring the impacts on life cycle cost management is the more complex subject of this research. During interviews or in response to additional questions, several experts indicated that ICT leads to better cost management if communication and sharing of necessary information is faster. This also proved to be significant at every stage of the life cycle of a construction project. Here, however, it must be noted that although this rate was different in the individual phases of the construction cycle, it always reached the level of at least medium or medium-high based on the empirical method. The details of these differences discussed in more detail later. Based on the RII, the ranking and intervals were determined, and indicated the degrees of importance. However, from a statistical point of view, these values should be verified. Therefore, based on the Likert scale and data on the frequency of responses with specific values, a table of importance or the so-called importance rate (IR), with values from 1 to 5, was constructed. This is the average value of all respondents values, which is the important frequency of responses. This importance index shows the frequency of utilization in similar cases and studies globally. The results are mentioned in more detail in Table 6, which shows the value of the Kruskal-Wallis test for the statistical significance level (Table 5). Figure 1: Implementation factor groups and impact rates. From the Kruskal-Wallis ANOVA based on ranking, the variable \"ICT implementation factors in life cycle cost management\" achieved a \(p\)-value of 0.0476, which has significant statistical significance. The number of valid responses was 125 for each factor (see Table 5). Table 5 describes the Kruskal-Wallis test to examine the statistical significance of selected factors' impact on ICT implementation. Table 5 also describes the decision and evaluation of the scientific hypothesis based on the Kruskal-Wallis ANOVA. Thus, the achieved \(p\)-value was 0.0476. This indicates that the statistical implementation factors confirmed the statistical significance. That is, at the level of probability \(\alpha=0.05\), we can reject H\({}_{0}\): investment costs are not ranked first in the most important ICT implementation factors in managing the life cycle costs of building, and thus accept the hypothesis H\({}_{1}\): investment costs are ranked first in the most important ICT implementation factors in managing the life cycle costs of buildings. Thus, it follows that investment costs represent the most important implementation factor influencing the implementation and use of ICT in the life cycle cost management of buildings.