{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T16:54:17Z","timestamp":1763571257723},"reference-count":11,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,3,11]],"date-time":"2023-03-11T00:00:00Z","timestamp":1678492800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,3,11]],"date-time":"2023-03-11T00:00:00Z","timestamp":1678492800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"University of Applied Sciences and Arts Western Switzerland"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Revenue Pricing Manag"],"published-print":{"date-parts":[[2024,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p> Demand forecast accuracy is critical for hotels to operate their properties efficiently and profitably. The\u00a0COVID-19\u00a0pandemic is a massive challenge for hotel demand forecasting due to the relevance of historical data. Therefore, the aims of this study are twofold: to present an extension of the additive pickup method using time series and moving averages; and to test the model using the real reservation data of a hotel in Italy during the COVID-19 pandemic. This study shows that historical data are still useful for a SME hotel amid substantial demand uncertainty caused by COVID-19. Empirical results suggest that the proposed method performs better than the classical one, particularly for longer forecasting horizons and for periods when the hotel is not fully occupied.<\/jats:p>","DOI":"10.1057\/s41272-023-00421-1","type":"journal-article","created":{"date-parts":[[2023,3,11]],"date-time":"2023-03-11T09:03:06Z","timestamp":1678525386000},"page":"39-43","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Does historical data still matter for demand forecasting in uncertain and turbulent times? An extension of the additive pickup time series method for SME hotels"],"prefix":"10.1057","volume":"23","author":[{"given":"Cindy Yoonjoung","family":"Heo","sequence":"first","affiliation":[]},{"given":"Luciano","family":"Viverit","sequence":"additional","affiliation":[]},{"given":"Lu\u00eds Nobre","family":"Pereira","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,3,11]]},"reference":[{"key":"421_CR1","first-page":"15","volume":"8","author":"A Atiya","year":"2008","unstructured":"Atiya, Amir, and Neamat Gayar. 2008. A comparative study of the pickup method and its variations using a simulated hotel reservation data. 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