Algorithmic HRM Acceptance
About this scale
A multi-item measure of employees' acceptance of HR decisions made by algorithms or AI (e.g., hiring, promotion, performance evaluation, scheduling, compensation). Captures perceived appropriateness, fairness, and willingness to comply with algorithmic HR decisions.
Sample item(s)
Reliability
Reported internal consistency: alpha 0.85–0.90 across subdimensions. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Decision domain (hiring vs. firing vs. evaluation) strongly moderates acceptance — anchor items to the specific decision context.
Source & citation
Meijerink, Boons, Keegan & Marler (2021): Algorithmic HRM. IJHRM, 32(12), 2545–2562.
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