Integrating Artificial Intelligence and Human Resource Planning in Government Organizations

Document Type : Original Article

Authors

1 PhD student, Department of Public Administration, Central Tehran Branch, Islamic Azad University, Tehran

2 Assistant Professor, Department of Public Administration and Public Policy, Islamic Azad University, Central Tehran Branch, Tehran, Iran

3 Assistant Professor, Department of Public Administration and Policy Making, Islamic Azad University, Central Tehran Branch, Tehran, Iran

Abstract
Advances in artificial intelligence technology have created the potential for significant transformation in human resource planning. However, effective integration of this technology with planning systems in government organizations faces structural and indigenous challenges. This research aimed to design a model for integrating artificial intelligence into human resource planning and was conducted with a case study of the Shahid Foundation of Tehran Province. This research uses a mixed exploratory approach. In the qualitative phase, key dimensions and components were extracted by analyzing the content of 16 semi-structured interviews with experts. In the quantitative phase, the final model was validated by structural equation modeling (PLS-SEM) on 63 questionnaires from managers and experts. The findings identified six main dimensions of the model: 1) data management and information quality, 2) policies and organizational readiness, 3) ethical, legal, and privacy considerations, 4) human resource management processes, 5) AI technology capabilities, and 6) challenges and barriers. The relationships between these dimensions were significant and the model's good fit was confirmed with GOF=0.663 and SRMR=0.015. This model, by emphasizing the integration of human and artificial intelligence and considering specific cultural-legal factors, helps managers of government organizations to improve transparency and efficiency in human resource planning through data-driven decision-making. The results of this study provide a new and indigenous model for integrating artificial intelligence into human resource planning systems of government organizations and fill the research gap in this area.

Keywords


 
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