{"title":"Variable Pricing in Restaurant Revenue Management: A Priority Mixed Bundle Strategy","authors":"Timothy Webb, Jing Ma, A. Cheng","doi":"10.1177/19389655221102387","DOIUrl":null,"url":null,"abstract":"The restaurant industry has historically been limited in its ability to adopt traditional revenue management pricing practices (e.g., variable pricing across tables and times) because of three specific challenges: (a) inability to segment customers by willingness to pay prior to seating, (b) limited ability to price discriminate (i.e., prioritize limited seating for the highest paying customers), and (c) inability to communicate menu price variances in advance. This article reviews common restaurant pricing strategies and discusses how each strategy cannot sufficiently address these three challenges. This work proposes a new strategy, the Priority Mixed Bundle (PMB) Strategy, which addresses all three of these challenges. The PMB states that customers can make reservations if they are willing to commit to dining from a prix-fixe menu while walk-ins can dine a la carte. The article argues for why PMB is theoretically viable and could be superior to existing menu pricing strategies. A field study shows that the PMB generates more revenue than a la carte strategies. Survey results suggest that customers perceive PMB as fair. Overall, this research advances theory in restaurant revenue management and proposes a pricing strategy for restaurants.","PeriodicalId":47888,"journal":{"name":"Cornell Hospitality Quarterly","volume":"64 1","pages":"22 - 33"},"PeriodicalIF":3.4000,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cornell Hospitality Quarterly","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/19389655221102387","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 3
Abstract
The restaurant industry has historically been limited in its ability to adopt traditional revenue management pricing practices (e.g., variable pricing across tables and times) because of three specific challenges: (a) inability to segment customers by willingness to pay prior to seating, (b) limited ability to price discriminate (i.e., prioritize limited seating for the highest paying customers), and (c) inability to communicate menu price variances in advance. This article reviews common restaurant pricing strategies and discusses how each strategy cannot sufficiently address these three challenges. This work proposes a new strategy, the Priority Mixed Bundle (PMB) Strategy, which addresses all three of these challenges. The PMB states that customers can make reservations if they are willing to commit to dining from a prix-fixe menu while walk-ins can dine a la carte. The article argues for why PMB is theoretically viable and could be superior to existing menu pricing strategies. A field study shows that the PMB generates more revenue than a la carte strategies. Survey results suggest that customers perceive PMB as fair. Overall, this research advances theory in restaurant revenue management and proposes a pricing strategy for restaurants.
期刊介绍:
Cornell Hospitality Quarterly (CQ) publishes research in all business disciplines that contribute to management practice in the hospitality and tourism industries. Like the hospitality industry itself, the editorial content of CQ is broad, including topics in strategic management, consumer behavior, marketing, financial management, real-estate, accounting, operations management, planning and design, human resources management, applied economics, information technology, international development, communications, travel and tourism, and more general management. The audience is academics, hospitality managers, developers, consultants, investors, and students.