Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/343491 
Year of Publication: 
2026
Citation: 
[Journal:] Journal of Behavioral and Experimental Economics [ISSN:] 2214-8051 [Volume:] 123 [Article No.:] 102602 [Publisher:] Elsevier [Place:] Amsterdam [Year:] 2026 [Pages:] 1-12
Publisher: 
Elsevier, Amsterdam
Abstract: 
An increasing number of individuals worldwide are participating in crowdwork and telework. They often perform tasks such as AI training and content moderation. While these tasks are typically conducted in large quantities and often involve routine elements, their nature makes them inherently demanding. They require high levels of engagement or creativity and produce outputs of subjective quality that are difficult to measure. In a preregistered field experiment involving over 5500 crowdworkers, we examined the impact of automated recognition and work-appreciation phrases and payment framing on motivation, performance, and job satisfaction. The results indicate that recognition-automated phrases: Great work! You did a good job! Nice job! Well done!-positively influences subjective job satisfaction, and that loss-framed payment is somewhat more effective than gain framing. Overall, the treatments have little effect on objective and subjective performance and motivation.
Subjects: 
Crowdworkers
Complex tasks
Routine
Automated motivation
Nonmonetary incentives
Recognition and appreciation
Loss and gain framework
Experiment
JEL: 
J33
J24
M54
M52
D83
C93
Persistent Identifier of the first edition: 
Data set: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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