Now showing items 11-16 of 16
An analysis of customer room choice model and revenue management practices in the hotel industry [Summary]
(Virginia Tech, 2013-06)
Considering the limitations of existing studies on the customer choice behaviour, this paper tries to use the variable precision rough set (VPRS) approach to establish a customer room choice model (CRCM) based on the logit ...
“Where you do it” matters: The impact of hotels’ revenue-management implementation strategies on performance [Summary]
(Virginia Tech, 2017-10)
This study explores RM strategic implementation approaches, addressing the question of whether the RM function should be performed within the hotel property, or should be outsourced to an outside entity such as corporate, ...
Influences of consumer characteristics on fairness perceptions of revenue management pricing in the hotel industry [Summary]
(Virginia Tech, 2011-06)
Fairness perceptions play an important role in customers’ behavior, and this study explores which consumer characteristics influence fairness perceptions of revenue management (RM) pricing in the hotel context.
Competitive revenue management for fixing quota and price of hotel commodities under uncertainty [Summary]
(Virginia Tech, 2011-09)
This article develops an artificial neural network (ANN) based forecasting model using the past profit records of hotel commodities. Based on forecasting, hotel commodities are categorised into two kinds: ones that push ...
Hotel revenue management and the Internet: The effect of price presentation strategies on customers’ willingness to book [Summary]
(Virginia Tech, 2009-06)
A decision that is intrinsic to the application of hotel best available rate (BAR) pricing is how to present the BARs for individual nights within a multiple-night stay to prospective hotel guests. The study discusses two ...
On revenue management and the use of occupancy forecasting error measures [Summary]
(Virginia Tech, 2014-08)
This study aims to draw the attention of the revenue management academic community to inherent problems in forecasting accuracy measurement, and to initiate a critical discussion about forecast quality assessment in hotels.