Predicting hotel booking cancellations to decrease uncertainty and increase revenue-Reference-Cited by-同舟云学术

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Predicting hotel booking cancellations to decrease uncertainty and increase revenue

Published:2017-04-30 Issue:2 Volume:13 Page:25-39
ISSN:2182-8458
Container-title:Tourism & Management Studies
language:
Short-container-title:TMS

Author:

Antonio Nuno, ,Almeida Ana de,Nunes Luis, ,

Publisher

School of Management, Hospitality and Tourism, University of the Algarve

Subject

Tourism, Leisure and Hospitality Management,Business, Management and Accounting (miscellaneous)

Cited by 37 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Overbooking and customer reactions in tourism: Evidence from restaurants;Journal of Tourism Theory and Research;2024-08-11

2. Tackling no-shows in fine dining: insights into cancellation policies and consumer awareness campaigns;Journal of Revenue and Pricing Management;2024-08-06

3. Explainable profit-driven hotel booking cancellation prediction based on heterogeneous stacking-based ensemble classification;European Journal of Operational Research;2024-08

4. Detecting Short-Notice Cancellation in Hotels with Machine Learning;ITISE 2024;2024-07-15

5. Real Time Hotel Booking Demand Optimization;International Journal of Advanced Research in Science, Communication and Technology;2024-04-30

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