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Sustaining workers' productivity is critical to organizations' operational success. Yet, comparatively little attention has been given to how managers can effectively allocate work across tasks and time to improve workers' performance. In this paper, the author uses the learning curve framework to investigate how productivity varies within task and within time in contexts where work is repetitive in nature. They introduce the concept of a restart effect - task and temporal disruptions that stimulate worker productivity - as a means of addressing challenges of repetitive work.
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