Online Information Monitoring for Utilizing Hotel Occupancy Rate Analysis

被引:0
|
作者
Chawla, Niran [1 ]
机构
[1] Assumption Univ, Bangkok, Thailand
关键词
online information for monitoring; hotel information management; online booking; PRICE;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the propagation of mobile internet and e-payment systems which are a part of this vivid online booking ecosystem which must be deployed to new realms, new forms of electronic transaction usage and new online marketing channels. Worldwide online travel sales have increased in double digits every year and the online booking market has reached the scale of $374 billion in 2012. The hotel industry is developing new ways of accomplishing their missions by leveraging the power of information and applying network-centric concepts. This research covers how the concept of online information monitoring is applied for utilizing hotel occupancy rate analysis. The empirical findings reveal a lost opportunity during the online booking process that is the most important in developing effective occupancy distribution of budget hotel chain. The findings also indicate an appropriate algorithm of intelligent recursive method (IRM) that helps customers decide about new hotel choices if the hotel they intend to stay is fully booked.
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页数:5
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