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Artificial intelligence-based organizational human resource management and operation system.

Yang Yang1

  • 1School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou, China.

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|August 8, 2022
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Summary
This summary is machine-generated.

This study explores artificial intelligence in human resource management to enhance employee quality and organizational efficiency. Findings indicate a short average tenure for current employees, highlighting a need for improved retention strategies.

Keywords:
artificial intelligencedata mininghuman resourcesmanagement operationsoperational systems

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Area of Science:

  • Human Resource Management
  • Artificial Intelligence
  • Data Mining

Background:

  • Globalization and marketization necessitate competitive human resource strategies.
  • Intensified enterprise competition requires strengthened internal management.
  • Human resource management is crucial for organizational goals and employee development.

Purpose of the Study:

  • To investigate an AI-based human resource management and operation system.
  • To enhance employee quality and promote scientific enterprise development.
  • To design an AI-driven human resource management system.

Main Methods:

  • Utilizing artificial intelligence for data mining in human resources.
  • Developing dynamic capability evaluation and early warning models.
  • Analyzing data mining algorithms and their application in HR.

Main Results:

  • Average tenure of incumbent employees is 3.5 years.
  • Average tenure of departing employees is 5 years.
  • Short employee tenure indicates a need for experience accumulation.

Conclusions:

  • AI and data mining offer significant potential for HR management.
  • The study highlights the need for strategies to improve employee retention and experience.
  • Implementing AI can lead to more scientific and effective HR practices.