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THE INFLUENCE OF AUTOMATED HUMAN RESOURCE PROCESSES ON THE PERFORMANCE OF THE HUMAN RESOURCES DEPARTMENT AT MOPANI COPPER MINES PLC

Volume: 166  ,  Issue: 1 , February    Published Date: 08 February 2025
Publisher Name: IJRP
Views: 33  ,  Download: 28 , Pages: 31 - 52    
DOI: 10.47119/IJRP1001661220257557

Authors

# Author Name
1 Gift Harris Nachibanga
2 Dr. Janis Kabwe
3 Karen Tabalasa

Abstract

An essential element of any organization is the management of its Human Resources (HR). Recently, Mopani Copper Mines PLC (MCM) adopted and implemented automated HR processes into its already existing Human Resource Information System in order to enhance the performance of the companys operations. This study thus aimed to investigate the influence of automated HR processes on the performance of the HR department. This cross-sectional case study included seventy-one participants who were purposively selected based on their knowledge about automated HR processes. The data collected were successfully analyzed using descriptive statistics, correlations, and regression analyses. The findings in this study indicated that cost saving, improved decision-making processes, and time saving were the major contributions brought by the introduction of automated HR processes. Furthermore, the results demonstrated that these automated processes had a significant influence on all the performance parameters, with a statistical significance of p<0.03. Hence, automation of HR processes not only streamlined operations but also substantially improved the efficiency and effectiveness of the HR department. Automated Human Resource processes have a considerable influence on the performance of the HR department. Therefore, if organizations aim to reduce their operational costs, minimize the time spent on certain tasks, enhance their HR processes, improve decision-making, and facilitate better information transmission, they should consider adopting automated Human Resource processes.

Keywords

  • Human Resource Information System
  • Performance
  • Information System
  • Artificial Intelligence
  • Human Resource Process Automation