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Hotel demand forecasting models and methods using artificial intelligence: A systematic literature review
16 references·0 citing·52 second hop
Hotel demand forecasting models and methods using artificial intelligence: A systematic literature review (2024)Hotel demand forecasting models and metho…Mission AI (2023)Mission AIPRISMA2020 : An R package and Shiny app for producing PRISMA 2020‐compliant flow diagrams, with interactivity for optimised digital transparency and Open Synthesis (2022)PRISMA2020 : An R package and…Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models (2021)Modeling and Forecasting Dail…Forecasting hotel demand for revenue management using machine learning regression methods (2021)Forecasting hotel demand for …Using machine learning and big data for efficient forecasting of hotel booking cancellations (2020)Using machine learning and bi…Big Data in Hotel Revenue Management: Exploring Cancellation Drivers to Gain Insights Into Booking Cancellation Behavior (2019)Big Data in Hotel Revenue Man…An Automated Machine Learning Based Decision Support System to Predict Hotel Booking Cancellations (2019)An Automated Machine Learning…A review of revenue management: Recent generalizations and advances in industry applications (2019)A review of revenue managemen…New developments in tourism and hotel demand modeling and forecasting (2017)New developments in tourism a…Rayyan—a web and mobile app for systematic reviews (2016)Rayyan—a web and mobile app f…A new forecasting approach for the hospitality industry (2015)A new forecasting approach fo…Revenue management: Resolving potential customer conflicts (2003)Revenue management: Resolving…Forecasting uncertain hotel room demand (2001)Forecasting uncertain hotel r…Revenue Management: Research Overview and Prospects (1999)Revenue Management: Research …The Strategic Levers of Yield Management (1998)The Strategic Levers of Yield…Yield management: A tool for capacity‐considered service firms (1989)Yield management: A tool for …Services Marketing: People, Technology, Strategy (1984)Fairness and the Assumptions of Economics (1986)Yield Management at American Airlines (1992)Has Revenue Management become Acceptable? (2003)An overview of research on revenue management: current issues and future research (2006)An integrated model of price, satisfaction and loyalty: an empirical analysis in the service sector (2007)An Airline Overbooking Model (1971)Air travel demand and airline seat inventory management (1987)OR Practice—Application of a Probabilistic Decision Model to Airline Seat Inventory Control (1989)A Taxonomy and Research Overview of Perishable-Asset Revenue Management: Yield Management, Overbooking, and Pricing (1992)Marketing Models of Service and Relationships (2006)Tourism supply chain management: A new research agenda (2009)Fairness as a Constraint on Profit Seeking: Entitlements in the Market (2000)Whither Services Marketing? (2004)Smart hospitality—Interconnectivity and interoperability towards an ecosystem (2017)Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons (1994)Dynamic Pricing in the Presence of Inventory Considerations: Research Overview, Current Practices, and Future Directions (2003)Revenue Management Under a General Discrete Choice Model of Consumer Behavior (2004)Perspectives in supply chain risk management (2006)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Digital Mental Health Interventions for Depression, Anxiety, and Enhancement of Psychological Well-Being Among College Students: Systematic Review (2019)An open source machine learning framework for efficient and transparent systematic reviews (2021)Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review (2021)Combining forecasts: A review and annotated bibliography (1989)Combining forecasts: A review and annotated bibliography (1990)Tourism demand modelling and forecasting—A review of recent research (2007)A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting (2019)Tourism demand forecasting: A deep learning approach (2019)Artificial intelligence: a systematic review of methods and applications in hospitality and tourism (2021)Theory of Games and Economic Behavior (1945)The Rise of the Sharing Economy: Estimating the Impact of Airbnb on the Hotel Industry (2017)Theory of games and economic behavior (2019)Decision-making approaches in process innovations: an explorative case study (2020)Digital transformation and revenue management: Evidence from the hotel industry (2020)Operational Research: methods and applications (2023)Forecasting tourism demand: A review of empirical research (1995)Forecasting principles and practice (2018)Artificial intelligence’s impact on hospitality and tourism marketing: exploring key themes and addressing challenges (2023)Prediction of hotel booking cancellations: Integration of machine learning and probability model based on interpretable feature interaction (2023)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)PRISMA 2020 and PRISMA-S: common questions on tracking records and the flow diagram (2021)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)AI in the Workplace: A Systematic Review of Skill Transformation in the Industry (2024)Generative AI and Academic Integrity in Higher Education: A Systematic Review and Research Agenda (2025)Understanding Media: The Extensions of Man (1964)Varieties of Capitalism: The Institutional Foundations of Comparative Advantage (2003)The global landscape of AI ethics guidelines (2019)Embracing artificial intelligence in the labour market: the case of statistics (2024)Remote Sensing and GIS in Natural Resource Management: Comparing Tools and Emphasizing the Importance of In-Situ Data (2024)The Impact of Artificial Intelligence on Human Sexuality: A Five-Year Literature Review 2020–2024 (2024)
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References

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  • 2019

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An Automated Machine Learning Based Decision Support System to Predict Hotel Booking Cancellations
66 cited
  • 2021Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models63 cited
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