The Impact of Applying Artificial Intelligence and Digital Competencies on Organizational Excellence: The Mediating Role of Employee Competencies

Document Type : Original Article

Authors

1 Assistant professor, Department of Public Management, Faculty of Management, Payame Noor University, Tehran, Iran

2 M.A. in Public Management, Department of Public Management, Faculty of Management, Payame Noor University, Tehran, Iran.

3 M.A. in Public Management, Department of Public Management, Faculty of Management, Payame Noor University, Tehran, Iran

10.22091/jrim.2025.13940.1388

Abstract

The present study investigates the impact of applying artificial intelligence and digital competencies on organizational excellence, emphasizing the mediating role of employee competencies within the Yazd governor's office. This research was applied in purpose and descriptive–correlational in nature and methodology. The statistical population comprised all permanent employees of the Yazd goverenor's office (N=270), from which 159 individuals were selected using a simple random sampling method. Standardized questionnaires were employed for data collection, and the hypotheses were tested using structural equation modeling. The findings showed that applying artificial intelligence (β = 0.262) and digital competencies (β = 0.233) have a direct and significant impact on organizational excellence. Also, employee competencies as a mediating variable strengthened this relationship (β = 0.098 and β = 0.140). The results of this study indicate that investing in the development of artificial intelligence and digital competencies of employees can be considered as a key strategy for achieving organizational excellence in government institutions, and in this regard, employee competencies also act as a mediating variable. By providing a practical framework, this study provides the ground for policymakers to digital transformation and improve organizational performance.

Keywords

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History

  • Receive Date: 21 September 2025
  • Revise Date: 24 October 2025
  • Accept Date: 04 November 2025

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