DocumentCode :
1771191
Title :
Online information monitoring for utilizing hotel occupancy rate analysis
Author :
Chawla, Niran
Author_Institution :
Computer and Engineering Management Assumption University Bangkok, Thailand
fYear :
2014
fDate :
2-4 June 2014
Firstpage :
1
Lastpage :
5
Abstract :
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.
Keywords :
Consumer electronics; Industries; Internet; Market research; Monitoring; Smart cards; hotel information management; online booking; online information for monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolving and Adaptive Intelligent Systems (EAIS), 2014 IEEE Conference on
Conference_Location :
Linz, Austria
Type :
conf
DOI :
10.1109/EAIS.2014.6867478
Filename :
6867478
Link To Document :
بازگشت