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Cited by

• 2019Big Data in Hotel Revenue Management: Exploring Cancellation Drivers to Gain Insights Into Booking Cancellation Behavior104 cited
• 2013Forecasting Aggregate Demand: Analytical Comparison of Top-Down and Bottom-Up Approaches in a Multivariate Exponential Smoothing Framework104 cited
• 2021Demand forecasting in supply chains: a review of aggregation and hierarchical approaches87 cited
• 2011Relationship or revenue: Potential management conflicts between customer relationship management and hotel revenue management68 cited
• 2007An integrated forecasting approach to hotel demand67 cited
• 2016Hotel daily occupancy forecasting with competitive sets: a recursive algorithm64 cited
• 2006Forecasting demand from heterogeneous customers63 cited
• 2023Application of machine learning to cluster hotel booking curves for hotel demand forecasting58 cited
• 2008Forecasting item-level demands: an analytical evaluation of top-down versus bottom-up forecasting in a production-planning framework53 cited
• 2018Forecasting hotel demand uncertainty using time series Bayesian VAR models52 cited
• 2011Competitive revenue management for fixing quota and price of hotel commodities under uncertainty51 cited
• 2011Linking Task Conditions to Physiology and Judgment Errors in RM Systems51 cited
• 2021Forecasting hierarchical time series in supply chains: an empirical investigation