Innovation attributes catalyse both intention to use and actual adoption of AI-enabled systems¶

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Perceived innovation attributes of AI technologies serve as a major catalyst for both the intention to use and the actual adoption of AI-enabled systems. → Al-Rahmi 2026

Evidence¶

Al-Rahmi 2026¶

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

q2 · i? · associational · r2

SEM test of the hypothesised model with survey data from 300 academic and administrative staff. The article reports innovation attributes as "a major catalyst for both the intention to use and actual adoption"; no effect size is printed.

"These innovation attributes, in turn, serve as a major catalyst for both the intention to use and actual adoption of AI-enabled systems."

Discussion¶

Related Claims¶

• An innovation foreign to the rest of its system tends to be rejected; lasting change needs a coordinated bundle of innovations. — the general claim this finding bears on, with the studies behind it
• AI adoption in higher education is associated with improved teaching practices, learner engagement and curriculum innovation — related
• Compatibility and relative advantage strongly enhance perceived innovation attributes of AI technologies — related
• Internal organisational conditions strengthen internal social drivers promoting technological change — related