Issue: № 5, 2025
Doi: https://doi.org/10.37634/efp.2025.5.24
Introduction. In the context of growing popularity of project-oriented structures, especially in international environments, effective personnel adaptation has become a key factor for successful project implementation. Inadequate adaptation of new employees can lead to project delays, budget overruns, and reduced team performance. This is particularly relevant in international projects where additional challenges include language, cultural, and technological barriers. However, most modern project management tools lack integrated mechanisms for forecasting adaptation efficiency. The proposed model aims to address this gap. The purpose of the paper is to develop a predictive model that assesses personnel adaptation efficiency within project management. Results. The model was tested using the case of the company engaged in international cooperation between Ukraine and China. Based on empirical data, key indicators were normalized, and correlation and regression analyses were conducted to determine the significance of each variable. A Personnel Adaptation Index (IAP) was constructed, ranging from 0 (low adaptation) to 1 (high adaptation). The analysis confirmed that a higher level of initial preparation, more training hours, and increased digital integration positively influence adaptation efficiency. In contrast, a high cultural barrier significantly reduces the adaptation index. The model was tested on hypothetical employee profiles with varying characteristics, confirming its practical value in project environments. Modeling results can be used to predict adaptation success even before hiring a candidate. Conclusions. The proposed model is a universal tool suitable for integration into project management systems and HR analytics platforms. It not only forecasts adaptation outcomes but also supports planning for personalized training, digital support, and mitigation of cross-cultural risks.
Keywords : personnel adaptation, project management, predictive model, digitalization, cultural barrier, human resources, international cooperation
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