Big Data in Hotel Revenue Management: Exploring Cancellation Drivers to Gain Insights Into Booking Cancellation Behavior
نویسندگان
چکیده
منابع مشابه
Forecasting cancellation rates for services booking revenue management using data mining
Revenue management (RM) enhances the revenues of a company by means of demand-management decisions. An RM system must take into account the possibility that a booking may be canceled, or that a booked customer may fail to show up at the time of service (no-show). We review the Passenger Name Record data mining based cancellation rate forecasting models proposed in the literature, which mainly a...
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A linear programming model has been presented for finding an appropriate planning in order to maximize hotel revenue. In this model, a special planning horizon has been considered that includes several busy days of a year. There are several reservation periods that may start a few months earlier. Each period of reservation may have different prices and so result different incomes. Hotel custo...
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Revenue management (RM) enhances the revenues of a company by means of demand-management decisions. An RM system must take into account the possibility that a booking may be canceled, or that a booked customer may fail to show up at the time of service (no-show). We review the Passenger Name Record data mining based cancellation forecasting models proposed in the literature, which mainly addres...
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The problem of maximizing the benefit from a specified number of a particular product with respect to the behavior of customer choices is regarded as revenue management. This managerial technique was first adopted by the airline industries before being widely used by many others such as hotel industries. The scope of this research is mainly focused on hotel revenue management, regarding which a...
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ژورنال
عنوان ژورنال: Cornell Hospitality Quarterly
سال: 2019
ISSN: 1938-9655,1938-9663
DOI: 10.1177/1938965519851466