Delay Information in Virtual Queues: A Large-Scale Field Experiment on a Major Ride-Sharing Platform

• 成果类型: Article
• 署名作者: Yu, Qiuping; Zhang, Yiming; Zhou, Yong-Pin
• 署名单位: University System of Georgia; Georgia Institute of Technology; Georgetown University; The Chinese University of Hong Kong, Shenzhen; University of Washington; University of Washington Seattle
• 刊物名称: MANAGEMENT SCIENCE
• ISSN/ISSBN: 0025-1909
• DOI: 10.1287/mnsc.2022.4448
• 发表日期: 2022
• 页码: 5745-5757
• 关键词: virtual queue; wait time information; large-scale field experiment; queue abandonment behavior; ridesharing platform

摘要

The growing adoption of virtual queues in the service and retail industries has been greatly accelerated in recent times. In collaboration with a major ride-sharing platform, we study how the wait time information (WTI), both its initial magnitude and its subsequent progress over time, impacts customers' abandonment behavior in virtual queues. The study was conducted through a randomized field experiment that included 1,425,745 rides: one-third of the rides received a neutral WTI, one-third received an optimistic WTI shorter than the neutral WTI (hence less frequent updates), and one-third received a pessimistic WTI (hence more frequent updates). The underlying wait time did not vary across the three groups. We find that both the magnitude of the initial WTI and the update frequency of the WTI have a significant impact on customer abandonment. Specifically, when adjusting the initialWTI by oneminute, it did not impact customer abandonment. This is because themagnitude effect of the initialWTI is cancelled out by the opposite update-frequency effect. However, when adjusting the WTI by more than one minute, the magnitude effect dominates: when comparing the pessimistic WTI of four minutes with the neutral initial WTI of two minutes, five minutes with three minutes, and eight minutes with five minutes, customers' likelihood to abandon increases by 6.2%, 14.1%, and 19.6%, respectively. Similar but opposite effects are found when comparing the optimisticWTI with the neutralWTI. We discuss how firms can use our findings and insights to design and operate better virtual queues.