Use organisational, technological and regulatory levers together to accelerate responsible AI adoption¶

Strategy · All strategies
Evidence · 1 claim (1 for) · 1 study (1 associational), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description¶

The article offers practical insights for policymakers, higher education leaders, and system designers seeking to accelerate responsible and effective AI adoption. Because organisational culture, sustainability policies, compatibility, relative advantage and government regulation each significantly predicted adoption drivers in the validated model, adoption efforts should address internal conditions, technology fit and external policy support together rather than in isolation.

Design Implications¶

Context¶

Requirements¶

• Institutional attention to organisational culture and sustainability policies
• Attention to compatibility of AI systems with existing systems

Constraints¶

• Evidence base is Saudi Arabian higher education institutions

Target Learners¶

• Higher education leaders, policymakers and system designers

Target Learning Goals¶

• Accelerating responsible and effective AI adoption in academic environments

Claims¶

• Internal organisational conditions strengthen internal social drivers promoting technological change [+W]

Related Strategies¶

Examples¶

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Key Sources¶

• Al-Rahmi, W. M. (2026). Exploring Organisational Drivers and Innovation Attributes of Artificial Intelligence Adoption in Higher Education. Journal of University Teaching and Learning Practice. https://doi.org/10.53761/fskfah39