Document Type : Original Article
Authors
1 PhD Student, Department of Public Administration, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
2 Associate Professor, Department of Public Administration, Science and Research Branch, Islamic Azad University, Tehran, Iran.
3 Assistant Professor, Department of Public Administration, Supreme National Defense University and Strategic Research Institute, Tehran, Iran.
Abstract
Establishing smart human resource (HR) governance extends beyond the mere implementation of digital technologies or artificial intelligence (AI). It necessitates the creation of a robust framework wherein decision-making is characterized by accountability, transparency, and fairness, ensuring that data-driven insights augment—rather than replace—human judgment. To achieve this, organizations must foster alignment across three interconnected tiers: the individual, the organizational, and the institutional.
The findings indicated that failure to establish smart governance results from misalignment across four dimensions: technological, human capital development, justice-oriented, and cultural. In the technological dimension, a gap exists between individuals’ data literacy, organizational infrastructures, and the absence of national data standards. In the human capital dimension, a substantial gap exists between employees’ analytical capabilities, organizational training systems, and macro-level educational policies. In the justice-oriented dimension, employees lack sufficient understanding of systemic justice, organizational transparency is limited, and mechanisms for monitoring artificial intelligence are inadequately implemented. In the cultural dimension, misalignment is evident in psychological readiness, leadership styles, and institutional discourse on digital transformation. The findings suggest that smart HR governance is a network-based process, and without alignment across individual, organizational, and institutional levels, its establishment will face structural failure.
Keywords
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