Sarah Lim , Stijn M.J. van Osselaer , Joseph K. Goodman , Christoph Fuchs , Martin Schreier
{"title":"The Starbucks effect: When name-based order identification increases customers' store preference and service satisfaction","authors":"Sarah Lim , Stijn M.J. van Osselaer , Joseph K. Goodman , Christoph Fuchs , Martin Schreier","doi":"10.1016/j.jretai.2024.04.002","DOIUrl":null,"url":null,"abstract":"<div><p>Retailers traditionally use a number system to match a product or service to a customer, ensuring that the customer receives the right product (e.g., a specific hot drink). However, some retailers have started to match an order by using a customer's name. Six studies, including an incentive-compatible experiment and field study, examine whether, when, and why order identification by a customer's name can either benefit or harm retailers. In contrast to prior research suggesting a negative effect of using a customer's name in marketing communications (e.g., online ads), the current research demonstrates a positive effect of identifying an order by name, which we refer to as the “Starbucks effect.” This positive effect, however, is mitigated or even backfires under specific circumstances. The results suggest that managers can use customers’ names while avoiding the use of numbers to increase customer preference for stores and service satisfaction, but with caution, especially in situations where privacy concerns may arise, even when the customer is only asked for their first name and could provide a fake name.</p></div>","PeriodicalId":48402,"journal":{"name":"Journal of Retailing","volume":"100 2","pages":"Pages 316-329"},"PeriodicalIF":8.0000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Retailing","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022435924000186","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
Retailers traditionally use a number system to match a product or service to a customer, ensuring that the customer receives the right product (e.g., a specific hot drink). However, some retailers have started to match an order by using a customer's name. Six studies, including an incentive-compatible experiment and field study, examine whether, when, and why order identification by a customer's name can either benefit or harm retailers. In contrast to prior research suggesting a negative effect of using a customer's name in marketing communications (e.g., online ads), the current research demonstrates a positive effect of identifying an order by name, which we refer to as the “Starbucks effect.” This positive effect, however, is mitigated or even backfires under specific circumstances. The results suggest that managers can use customers’ names while avoiding the use of numbers to increase customer preference for stores and service satisfaction, but with caution, especially in situations where privacy concerns may arise, even when the customer is only asked for their first name and could provide a fake name.
期刊介绍:
The focus of The Journal of Retailing is to advance knowledge and its practical application in the field of retailing. This includes various aspects such as retail management, evolution, and current theories. The journal covers both products and services in retail, supply chains and distribution channels that serve retailers, relationships between retailers and supply chain members, and direct marketing as well as emerging electronic markets for households. Articles published in the journal may take an economic or behavioral approach, but all are based on rigorous analysis and a deep understanding of relevant theories and existing literature. Empirical research follows the scientific method, employing modern sampling procedures and statistical analysis.