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Demographic Tipping Differences

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Demographic Tipping Differences
Zachary W. Brewster (2013) conducted research that assesses how server sensitivity to demographic tipping differences affects servers proclivities to discriminately provide either excellent or poor service in response to the prospect of receiving an excellent or poor tip. Brewster designed and administered a questionnaire to 200 restaurant servers across 18 restaurants located in a metropolitan area in the Southeastern part of the United States (2013). Multilevel modeling techniques were used to conduct a within-restaurant analysis assessing the saliency of servers’ perceptions of customers’ tipping behaviors towards understanding variability in self-professed discriminate service. Only 7.4% of sampled reported to never give preferential service
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