Experimental study reveals fine-grained wait estimates reduce customer balking in restaurants, indicating numerical framing and delivery style dictate queue entry.
Waiting is an inevitable part of service encounters, and estimated wait times can shape customers’ expectations and queue-entry decisions. Scenario-based experiments showed that fine-grained estimates increased expectations of being served sooner than communicated, thereby reducing balking, with this effect more pronounced under the interval format. In contrast, coarse-grained interval estimates were less effective in encouraging queue entry. The professionalism of delivery also influenced responses. Unprofessional delivery increased balking when wait times were presented as coarse-grained point estimates, partly by lowering expectations of prompt service. These findings demonstrate that both the numerical structure and interpersonal delivery of an initial wait-time estimate shape customers’ decisions to join a queue. Although expectations may later change as updated information becomes available, the initial estimate remains consequential because it influences whether customers enter the waiting process. Theoretical and practical implications are discussed.
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Baek et al. (2026) studied this question.
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