Data driven pricing strategies for hotels during COVID-19 pandemic

Q4 Economics, Econometrics and Finance
Girish Nair
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引用次数: 0

Abstract

Pandemics such as COVID-19 can challenge many of the very well-established strategies of revenue management The purpose of this paper is to subject the four widely used strategies of revenue management in the hotel industry into an empirical analysis for their suitability at the time of crisis The data driven approach to modelling has been adopted in this research based on the real-life data obtained from the property management system of nine of the 5-star hotels in Qatar The results indicate that four of these hypotheses are supported This revelation has been the basis for drawing implications to the finance and marketing managers of hotels to enhance customer satisfaction and maximise hotel revenue during the COVID-19 or any such pandemic The results are based on real-life data and have the foundation of well-established pricing strategies in use at the hotels Copyright © 2021 Inderscience Enterprises Ltd
COVID-19大流行期间酒店的数据驱动定价策略
流行病如COVID-19可以挑战的许多非常完善的策略收益管理的目的本文主题的四个广泛使用的策略收益管理在酒店行业为实证分析的适用性在危机时的数据驱动的建模方法在本研究采用基于真实数据从物业管理系统获得的九个五星级酒店的卡塔尔结果显示这一发现为酒店的财务和营销经理提供了启示,以提高客户满意度,并在2019冠状病毒病疫情或任何此类大流行期间实现酒店收入最大化。研究结果基于真实数据,并以酒店使用的成熟定价策略为基础版权©2021 Inderscience Enterprises Ltd
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
International Journal of Revenue Management
International Journal of Revenue Management Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
1.40
自引率
0.00%
发文量
4
期刊介绍: The IJRM is an interdisciplinary and refereed journal that provides authoritative sources of reference and an international forum in the field of revenue management. IJRM publishes well-written and academically rigorous manuscripts. Both theoretic development and applied research are welcome.
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