Algorithmic Management Perceptions
Information SystemsReliability: alpha 0.79–0.88 across subdimensions3 sample items
About this scale
A multi-item measure of employees' perceptions of being managed by algorithms across decision-making domains (assignment, evaluation, discipline). Captures algorithmic control, transparency, and fairness perceptions, which are central to gig-economy and AI-augmented workplace research.
Sample item(s)
“An algorithm decides what tasks I am assigned at work.”
“I find it difficult to understand how the system makes decisions about my work.”
“I feel monitored by the platform when I work.”
Reliability
Reported internal consistency: alpha 0.79–0.88 across subdimensions. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Conceptual basis; recent quantitative scales include Parent-Rocheleau & Parker (2022) algorithmic-management work-design instrument.
Source & citation
Wood, A. J., Graham, M., Lehdonvirta, V., & Hjorth, I. (2019): Good gig, bad gig: Autonomy and algorithmic control in the global gig economy. Work, Employment and Society, Vol. 33, No. 1, pp. 56–75.
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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