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dc.contributor.authorSchwartz, Zvi
dc.contributor.authorCohen, Eli
dc.description.abstractFifty-seven experienced hotel revenue managers participated in a study involving the use of simulated forecasting software. The revenue managers examined raw occupancy data and used simulated forecasting software to arrive at their own daily occupancy forecasts and subjective estimates of the forecast uncertainty for a period of seven consecutive days. The study underscores the subjective nature of forecast uncertainty, showing that uncertainty estimates depend on the individual’s years of industry experience as well as gender. The study demonstrates that there is no relation between the accuracy of a point estimate and the level of subjective uncertainty.en_US
dc.publisherVirginia Techen_US
dc.rightsCreative Commons Attribution 4.0 International*
dc.subjectRevenue managementen_US
dc.subjectoccupancy forecasten_US
dc.subjectpoint estimateen_US
dc.titleSubjective Estimates of Occupancy Forecast Uncertainty by Hotel Revenue Managers [Summary]en_US
dc.title.serialJournal of Travel and Tourism Marketingen_US

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Creative Commons Attribution 4.0 International
License: Creative Commons Attribution 4.0 International