# A Continuous Monitoring and Reallocation Method for Successful Decisions in Change Management
## 5 Conclusions and Limitations  
In order to address and manage Rtc, this study presented and evaluated a novel approach called CoMoRe. This concept is based on the ongoing observation and redistribution of human resources to tasks throughout the change period. It involves the early reallocation of human resources and the regular evaluation of employee performance. This approach enhances overall performance significantly. Classical Change Management Models have low efficiency in managing Rtc. As a result, in many change implementation processes, the total performance suffers critical decreases, which leads to the abandonment or failure of the change process. In order to verify the efficiency of the proposed CoMoRe method, suitable experiments were designed and executed. According to the experimental results, the total performance of the CoMoRe method is better in all change period intervals compared to the Classical Change Management Model (CCMM). The CoMoRe method aids decision making in this complex situation. In addition, the critical value of the maximum drop in total performance is much smaller when using the CoMoRe method. The experimental results show that this critical performance value is up to 122% higher when using the CoMoRe method compared to the CCMM, and in many cases, this is the critical time for the manager to decide on whether to abandon or continue the change implementation. In addition, the experimental results show that CoMoRe effectively improves overall performance relatively quickly and that the time to reach the new desired state is reduced by up to 20%. However, it is important to consider some of the risks and limitations of the CoMoRe approach. Continuous monitoring and resource reallocation require a high level of real-time \begin{table}
\begin{tabular}{c c c c c} \hline \hline  & \multicolumn{4}{c}{**Execution Time (s, \%)**} \\ \hline
**Algorithm** & \multirow{2}{*}{**Matrix Size 10 \(\times\) 10**} & \multirow{2}{*}{**Matrix Size 100 \(\times\) 100**} & **Time** \\
**Part** & & & **Change (\%)** \\ \hline Hungarian & 28.25 s & 3.6\% & 826.98 s & 46.0\% & 2827.4\% \\ Remainder & 752.79 s & 96.4\% & 969.13 s & 54.0\% & 28.7\% \\ Total & 781.04 s & 100.0\% & 1796.11 s & 100\% & 130.0\% \\ \hline \hline \end{tabular}
\end{table} 
Table 10: Execution time and percentage change for different algorithm parts and matrix sizes. data monitoring, which can be resource-intensive and requires advanced data management systems. In addition, the success of the approach depends on the ability to accurately evaluate employee performance at different stages of the change process, which may be subject to variability, depending on the context of the organization. Furthermore, it is important to acknowledge the fundamental limitation that all employees can perform all tasks, and tasks can be performed by one employee. In addition, the resistance of employees to frequent job changes has not been given adequate consideration. The proposed idea of continuous monitoring and reallocation used in the CoMoRe method could be applied to all change management problems. In future work, the possibility of using this model in other, more complex human resource allocation problems will be investigated. Conceptualization, methodology, validation, and formal analysis, F.P. and V.C. ; software and writing--original draft preparation, F.P. ; writing--review and editing, V.C. All authors have read and agreed to the published version of the manuscript. This research received no external funding. The data are available on request from the corresponding author. The authors declare no conflicts of interest. The following abbreviations are used in this manuscript: