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竞赛(生物学)
路径(计算)
微观经济学
质量(理念)
产业组织
经济
控制(管理)
领域(数学)
收益管理
集合(抽象数据类型)
计算机科学
业务
运筹学
财务
工程类
数学
管理
生态学
哲学
认识论
纯数学
程序设计语言
生物
作者
Maxime C. Cohen,Alexandre Jacquillat,Juan Camilo Serpa,Michael Benborhoum
出处
期刊:Management Science
[Institute for Operations Research and the Management Sciences]
日期:2023-01-31
卷期号:69 (10): 6076-6108
被引量:3
标识
DOI:10.1287/mnsc.2022.4656
摘要
Airfares evolve dynamically, giving rise to a so-called price path. This price path is controlled via two levers: (i) a fare ladder, which defines a set of airfares before the selling season, and (ii) revenue management algorithms, which control how fares evolve along the ladder during the season. We hypothesize that the current policies to control both levers—which do not account for quality differences between competing airlines—give rise to an inefficient price path and, accordingly, a loss of potential revenue. We substantiate this hypothesis via a field experiment. By partnering with an airline, we introduced quality considerations in the design of fare ladders, across 5,000 itineraries, to show that current ladder-design policies indeed lead to a suboptimal price path. We also show that this inefficiency can be mitigated by incorporating quality differences between competing airlines. This creates a smoother (and more profitable) price path. This paper was accepted by Vishal Gaur, operations management.
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