Identifying and ranking the drivers of improving and developing human resources information systems in government organizations in the Republic of Iran

Document Type : Original Article

Authors

1 Associate Professor, Department of Public Administration, Faculty of Management and Accounting, Allameh Tabatabai University, Tehran, Iran.

2 PhD in Human Resource Management, Department of Public Administration, Faculty of Management and Accounting, Allameh Tabatabaei University, Tehran, Iran.

Abstract

Context and Purpose: Today, the enhancement and development of Human Resource Information Systems in governmental organizations of the Islamic Republic of Iran have gained strategic importance, considering the vastness of administrative structures, the complexity of processes, and the necessity of complying with legal requirements. These systems, by fostering transparency, improving productivity, facilitating data-driven decision-making, optimizing human resource management, and reducing errors caused by human interventions, provide an integrated, secure, and analytical platform for effective HR management, thereby paving the way for the establishment of a smart, accountable, and efficient government. Accordingly, the purpose of this study was to identify and prioritize the drivers of Human Resource Information Systems enhancement and development in governmental organizations of Iran through a futures studies approach.

Methodology: The research adopted a mixed-method (qualitative–quantitative) approach. In terms of methodology, it was based on structural cross-impact matrix analysis with a strategic foresight perspective, and in terms of purpose, it was developmental–applied. The statistical population consisted of 35 experts, including university professors and HR managers from governmental (executive) organizations in Iran, selected through purposive sampling. Data were collected through library studies, structured interviews, and a qualitative questionnaire using a 0–3 scoring scale according to the structural cross-impact matrix. The collected data were analyzed using MICMAC statistical software.

Findings: The results revealed that drivers such as improving digital competencies of Human Resource professionals for the effective use of information and organizational systems, designing modular architectures to enhance flexibility and scalability of Human Resource Information Systems, and embedding intelligent and sustainable communication infrastructures to support Human Resource Information Systems are among the most influential drivers.

Keywords

References

منابع
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Journal of Comparative Public Administration
Volume 4, Issue 1
June 2026
Pages 222-250

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History

  • Receive Date: 19 July 2025
  • Revise Date: 25 October 2025
  • Accept Date: 28 November 2025

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