EFFICIENCY AND PREDICTION IN HUMAN RESOURCE MANAGEMENT USING PYTHON MODULES

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Bibliographische Detailangaben
Veröffentlicht in:	Theoretical and Empirical Researches in Urban Management vol. 20, no. 1 (Feb 2025), p. 88
1. Verfasser:	Androniceanu, Mihai
Veröffentlicht:	Research Centre in Public Administration & Public Services
Schlagworte:	Software Artificial intelligence Managers Performance evaluation Prediction models Human resource management Mobility Programming languages Efficiency Python Modules Stability Automation Seniority Management Human resources management Variables Recruitment Educational attainment Syntax Predictions Job satisfaction Human resources Organizational research Pilot projects Resource management Satisfaction Research Employees Economic
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