揭示按需食品配送市场中商家的等待意愿

IF 6.3 2区 工程技术 Q1 ECONOMICS
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引用次数: 0

摘要

虽然传统的按需食品配送服务能帮助餐馆接触到更多顾客并实现上门送餐,但它们也存在一些缺点,如佣金高昂和对送餐过程的控制有限。白标食品配送服务的出现,为餐馆提供了另一种即用型平台,使其可以为通过其应用程序或网站收到的顾客订单安排配送,而不必受到传统按需食品配送平台的限制,也不必发展内部配送业务。虽然已有多项研究调查了消费者使用传统按需食品配送服务时的行为,但对商家采用白标食品配送服务时的行为研究却很有限。在本研究中,我们建立了一个非参数生存模型来估计商户在使用白标食品外卖服务时的等待意愿,并利用新加坡众包外卖平台的已交付订单和已取消订单数据集,研究了外卖费用、下单数量和平均等待时间等各种因素如何影响商户的等待意愿。实证结果表明,商家的等待意愿与平均等待时间之间存在非线性关系;商家的等待意愿最初会随着平均等待时间的增加而增加,随后会随着平均等待时间的减少而减少。此外,商户在取货阶段的等待意愿与匹配阶段的平均等待时间之间的关系也呈现类似的非线性趋势。在配对阶段平均等待时间较长的商户,在取货阶段的耐心往往较差。这项研究揭示了白标配送服务中商户等待行为的特定阶段动态,为配送平台优化运营策略和提升用户体验提供了启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uncovering merchants’ willingness to wait in on-demand food delivery markets

While traditional on-demand food delivery services help restaurants reach more customers and enable doorstep deliveries, they also come with drawbacks, such as high commission fees and limited control over the delivery process. White-label food delivery services have emerged as an alternative, ready-to-use platform for restaurants to arrange delivery for customer orders received through their applications or websites, without the constraints imposed by traditional on-demand food delivery platforms or the need to develop an in-house delivery operation. Although several studies have investigated consumer behavior when using traditional on-demand food delivery services, there is limited research on merchants’ behavior when adopting white-label food delivery services. In this research, we develop a non-parametric survival model to estimate merchants’ willingness to wait when using white-label food delivery services and examine how various factors, such as delivery fees, the number of placed orders, and average waiting time, affect merchants’ willingness to wait, drawing on a dataset of both delivered and canceled orders from a crowd-sourcing delivery platform in Singapore. The empirical results show that merchants’ willingness to wait has a non-linear relationship with their average waiting time; it initially increases and then decreases with average waiting time. Moreover, the relationship between merchants’ willingness to wait during the pick-up stage and their average waiting times in the matching stage follows a similar non-linear trend. Merchants who have experienced lengthy waiting times on average in the matching stage tend to be less patient in the pick-up stage. This research sheds light on the stage-specific dynamics of merchants waiting behavior in white-label delivery service and provides insights for delivery platforms to optimize their operational strategies and enhance user experiences.

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来源期刊
Transport Policy
Transport Policy Multiple-
CiteScore
12.10
自引率
10.30%
发文量
282
期刊介绍: Transport Policy is an international journal aimed at bridging the gap between theory and practice in transport. Its subject areas reflect the concerns of policymakers in government, industry, voluntary organisations and the public at large, providing independent, original and rigorous analysis to understand how policy decisions have been taken, monitor their effects, and suggest how they may be improved. The journal treats the transport sector comprehensively, and in the context of other sectors including energy, housing, industry and planning. All modes are covered: land, sea and air; road and rail; public and private; motorised and non-motorised; passenger and freight.
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