AI Workplace Policy Clarity
HR & WorkReliability: alpha 0.913 sample items
About this scale
A multi-item measure of perceived clarity of an organization's AI-use policies — including which tools are allowed, what data can be input, and what disclosure is required.
Sample item(s)
“My organization has clear policies about which AI tools we can use at work”
“I know what data I can and cannot input into AI tools”
“My organization's expectations about disclosing AI use are clear”
Reliability
Reported internal consistency: alpha 0.91. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Strongly relevant in 2024–2026 corporate AI-governance research.
Source & citation
Mikalef, P., Conboy, K., Lundström, J. E., & Popovič, A. (2022): Thinking responsibly about responsible AI and 'the dark side' of AI. European Journal of Information Systems, Vol. 31, No. 3, pp. 257–268.
Mikalef, Conboy, Lundström & Popovič (2022): Responsible AI dark side. EJIS, 31(3), 257–268.
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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