AI-Augmented Eudaimonic Work Experience
HR & WorkReliability: alpha 0.873 sample items
About this scale
A multi-item measure of the extent to which AI use at work supports eudaimonic outcomes — meaning, growth, and self-actualization — rather than just hedonic productivity.
Sample item(s)
“AI tools help me grow as a professional”
“AI lets me focus on the parts of my job that matter most”
“Working with AI feels purposeful, not just efficient”
Reliability
Reported internal consistency: alpha 0.87. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Counterbalances the dark-side AI literature with positive AI-work outcomes.
Source & citation
Tang, P. M., Koopman, J., Mai, K. M., De Cremer, D., Zhang, J. H., Reynders, P., Ng, C. T. S., & Chen, I.-H. (2023): No person is an island: Unpacking the work and after-work consequences of interacting with artificial intelligence. Journal of Applied Psychology, Vol. 108, No. 11, pp. 1766–1789.
Tang et al. (2023): AI interaction work and after-work consequences. JAP, 108(11), 1766–1789.
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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