AI governance readiness as institutional capital: a capability-orchestration framework for student retention intentions in Kazakhstan's higher education

A study published in Frontiers in Education conceptualizes AI Governance Readiness (AIGR) as institutional capital that influences student retention intentions through capability orchestration rather than standalone technology deployment. Grounded in the Resource-Based View and Dynamic Capabilities Theory, the authors model how governance readiness links with Administrative Efficiency through AI (AEAI) and AI Fluency Orientation (AIFO), moderated by Equity Perception (EPS). The quantitative research evaluated 897 survey participants across public and private higher education institutions in Kazakhstan using partial least squares structural equation modeling, though specific statistical outputs are truncated in the source text.

This framework matters because it demonstrates that the strategic value of artificial intelligence depends on institutional governance maturity rather than hardware or software acquisition. Educational and institutional leaders must recognize that organizational readiness directly underpins operational efficiency and retention outcomes. Furthermore, overlooking stakeholder equity perceptions during technological transformation can compromise strategic institutional objectives.

AI Governance Readiness (AIGR) represents institutional capital that coordinates responsible governance rather than passive technology adoption.

Forward consideration, not a verified fact.