AI Performance Management Acceptance
HR & WorkReliability: alpha 0.863 sample items
About this scale
A multi-item measure of employee acceptance of AI-assisted performance management — automated goal-tracking, AI-generated feedback, and algorithmic performance ratings.
Sample item(s)
“I would accept performance feedback generated by an AI system”
“AI-generated performance ratings can be as fair as human ratings”
“I trust AI to evaluate my work objectively”
Reliability
Reported internal consistency: alpha 0.86. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Pair with algorithmic-HRM acceptance for full HR-context AI modelling.
Source & citation
Tursunbayeva, A., Pagliari, C., Di Lauro, S., & Antonelli, G. (2022): The ethics of people analytics: Risks, opportunities and recommendations. Personnel Review, Vol. 51, No. 3, pp. 900–921.
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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