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dc.contributor.authorSchwartz, Zvien
dc.contributor.authorCohen, Elien
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
dc.publisherVirginia Techen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.subjectRevenue managementen
dc.subjectoccupancy forecasten
dc.subjectpoint estimateen
dc.titleSubjective Estimates of Occupancy Forecast Uncertainty by Hotel Revenue Managers [Summary]en
dc.title.serialJournal of Travel and Tourism Marketingen

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