The aim of this study is to design a model for the implementation of a data‑driven human resource system using digital and intelligent tools. In terms of purpose, the study is fundamental, and in terms of methodology, it adopts a qualitative approach. The research population consisted of 15 experts and academic specialists, including university faculty members and managers of the Blood Transfusion Organization, who were selected through purposive and theoretical (judgmental) sampling. Data were collected through semi‑structured interviews. The collected data were analyzed using MAXQDA software.The results showed that through axial coding, 44 initial codes were organized into 22 axial codes, representing the key concepts and structural dimensions of a data‑driven human resource system. A comprehensive examination of the factors influencing the implementation of a data‑driven human resource system using digital and intelligent tools indicates that this process represents a multidimensional and strategic transformation that requires simultaneous attention to a set of causal factors (five dimensions), contextual factors (four dimensions), intervening conditions (four dimensions), strategies (four dimensions), and consequences (four dimensions).By presenting an integrated and data‑driven model, this study highlights the role of digital and intelligent tools in improving human resource processes and strategic decision‑making, and provides valuable theoretical and practical guidance for organizations pursuing digital transformation.