Customer type discovery in hotel revenue management by Memetic algorithm-Reference-Cited by-同舟云学术

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Customer type discovery in hotel revenue management by Memetic algorithm

Published:2023-01-13 Issue:6 Volume:22 Page:470-481
ISSN:1476-6930
Container-title:Journal of Revenue and Pricing Management
language:en
Short-container-title:J Revenue Pricing Manag

Author:

Sherafat Moula Hamed,Yaghoubyan S. Hadi,Malekhosseini Razieh,Bagherifard Karamollah

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Economics and Econometrics,Finance,Business and International Management

Link

https://link.springer.com/content/pdf/10.1057/s41272-022-00408-4.pdf

Reference27 articles.

1. Bertsimas, D., and V.V. Mišic. 2015. Data-driven assortment optimization. Management Science 1: 1–35.

2. Bodea, T., M. Ferguson, and L. Garrow. 2008. Data set—Choice-based revenue management: Data from a major hotel chain. Manufacturing & Service Operations Management 11 (2): 356–361. https://doi.org/10.1287/msom.1080.0231.

3. Cezar, A., and H. Ögüt. 2016. Analyzing conversion rates in online hotel booking. International Journal of Contemporary Hospitality Management 28: 286.

4. Chen, L., and T. Homem-de-Mello. 2010. Mathematical programming models for revenue management under customer choice. European Journal of Operational Research 203 (2): 294–305. https://doi.org/10.1016/J.EJOR.2009.07.029.

5. Cotta, C., and P. Moscato. 2007. Memetic algorithms. Berlin: Springer.

Cited by 2 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. Customer type discovery in hotel revenue management: a data mining approach;Journal of Revenue and Pricing Management;2024-04-05

2. Diversification of revenue management and pricing;Journal of Revenue and Pricing Management;2023-10-28

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