Organizational AI Readiness
Information SystemsReliability: alpha 0.923 sample items
About this scale
A multi-item measure of organizational readiness for AI adoption across multiple dimensions: leadership, data infrastructure, talent, culture, and governance.
Sample item(s)
“Our leadership has a clear vision for AI in our organization”
“We have the data infrastructure needed to deploy AI”
“Our employees have the skills needed to work with AI”
Reliability
Reported internal consistency: alpha 0.92. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Useful for organizational-level AI-adoption studies.
Source & citation
Jöhnk, J., Weißert, M., & Wyrtki, K. (2021): Ready or not, AI comes — An interview study of organizational AI readiness factors. Business & Information Systems Engineering, Vol. 63, No. 1, pp. 5–20.
Jöhnk, Weißert & Wyrtki (2021): Organizational AI readiness. BISE, 63(1), 5–20.
Source. Scale details are summarised from the publication cited above. Always consult the original source for the full item set, scoring, and permission to use.
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