EFFICIENCY AND PREDICTION IN HUMAN RESOURCE MANAGEMENT USING PYTHON MODULES

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Opis bibliograficzny
Wydane w:	Theoretical and Empirical Researches in Urban Management vol. 20, no. 1 (Feb 2025), p. 88
1. autor:	Androniceanu, Mihai
Wydane:	Research Centre in Public Administration & Public Services
Hasła przedmiotowe:	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
Dostęp online:	Citation/Abstract Full Text Full Text - PDF
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