Si Xie, Siddhartha Sharma, Amit Mehra, Arslan Aziz
{"title":"Strategic Expectation Setting of Delivery Time on Marketplaces","authors":"Si Xie, Siddhartha Sharma, Amit Mehra, Arslan Aziz","doi":"10.1287/isre.2021.0497","DOIUrl":null,"url":null,"abstract":"Delivery speed is an essential component of the service provided by online delivery platforms. Because improving actual delivery speed is expensive, platforms can instead create a perception of faster delivery by showing a conservative estimate of the delivery duration when a customer places an order. We use detailed transaction-level data from a major food delivery marketplace to examine the effects of setting conservative delivery speed expectations on customers’ likelihood of future purchases and restaurant choices. When delivery is faster than expected, we find that customers are more likely to purchase again from the platform and the same (focal) restaurant they ordered from. However, we find no significant effect on future purchases from other (nonfocal) restaurants. This is possibly because of a spillover effect, as customers may switch to other restaurants. Our findings thus highlight the effect of setting conservative expected delivery times in a platform setting. Finally, we investigate the trade-off between current and future demand because of setting of a conservative estimated delivery time and show that the gain in future demand is greater than the loss in current demand, establishing the efficacy of our suggested strategy.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"254 1","pages":""},"PeriodicalIF":5.0000,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Systems Research","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1287/isre.2021.0497","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Delivery speed is an essential component of the service provided by online delivery platforms. Because improving actual delivery speed is expensive, platforms can instead create a perception of faster delivery by showing a conservative estimate of the delivery duration when a customer places an order. We use detailed transaction-level data from a major food delivery marketplace to examine the effects of setting conservative delivery speed expectations on customers’ likelihood of future purchases and restaurant choices. When delivery is faster than expected, we find that customers are more likely to purchase again from the platform and the same (focal) restaurant they ordered from. However, we find no significant effect on future purchases from other (nonfocal) restaurants. This is possibly because of a spillover effect, as customers may switch to other restaurants. Our findings thus highlight the effect of setting conservative expected delivery times in a platform setting. Finally, we investigate the trade-off between current and future demand because of setting of a conservative estimated delivery time and show that the gain in future demand is greater than the loss in current demand, establishing the efficacy of our suggested strategy.
期刊介绍:
ISR (Information Systems Research) is a journal of INFORMS, the Institute for Operations Research and the Management Sciences. Information Systems Research is a leading international journal of theory, research, and intellectual development, focused on information systems in organizations, institutions, the economy, and society.