Overbooking as a Means to Manage Restaurant No-Shows and Cancellations: A Novel Model Extension

IF 4.4 3区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM
C. Chiang
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引用次数: 0

Abstract

Newsvendor models have been developed to determine the optimal overbooking level of hotel rooms to manage no-shows and cancellations. This research note extends the newsvendor model to a restaurant context by taking into account the “stretched capacity” of restaurants to determine the optimal overbooking levels for restaurant seats. Data were collected from a restaurant in Taiwan to illustrate the model. The percentage of no-shows per day in this restaurant ranged from 11% to 16%. Utilizing its stretched capacity, the restaurant can overbook up to five more seats than the estimated number of no-shows. The extended model will be most suitable for restaurants that largely depend on reservations (rather than walk-ins), such as luxury or fine-dining restaurants. Directions for future research on restaurant overbooking are provided.
超额预订作为管理餐厅缺席和取消的一种手段:一种新的模型扩展
已经开发了新闻供应商模型来确定酒店房间的最佳超订水平,以管理无演出和取消。本研究报告将报贩模型扩展到餐厅环境中,考虑到餐厅的“容量紧张”,以确定餐厅座位的最佳超额预订水平。从台湾的一家餐馆收集数据来说明该模型。这家餐厅每天不露面的比例从11%到16%不等。利用其紧张的容量,这家餐厅可以比预计的不露面人数多预订五个座位。扩展模式将最适合在很大程度上依赖预订(而不是预约)的餐厅,如豪华或高级餐厅。提供了未来餐馆超售研究的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Hospitality & Tourism Research
Journal of Hospitality & Tourism Research HOSPITALITY, LEISURE, SPORT & TOURISM-
CiteScore
10.10
自引率
9.50%
发文量
54
期刊介绍: The Journal of Hospitality & Tourism Research (JHTR) is an international scholarly research journal that publishes high-quality, refereed articles that advance the knowledge base of the hospitality and tourism field. JHTR focuses on original research, both conceptual and empirical, that clearly contributes to the theoretical development of our field. The word contribution is key. Simple applications of theories from other disciplines to a hospitality or tourism context are not encouraged unless the authors clearly state why this context significantly advances theory or knowledge. JHTR encourages research based on a variety of methods, qualitative and quantitative.
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