Practical Sales Forcasting: Potential Solutions for Independently Owned Hotels [Summary]

Sorokina, Ekaterina; Semrad, Kelly J.; Mills, Brian

Practical Sales Forcasting: Potential Solutions for Independently Owned Hotels [Summary]

dc.contributor.author	Sorokina, Ekaterina	en
dc.contributor.author	Semrad, Kelly J.	en
dc.contributor.author	Mills, Brian	en
dc.date.accessioned	2017-09-09T17:04:21Z	en
dc.date.available	2017-09-09T17:04:21Z	en
dc.date.issued	2016	en
dc.description.abstract	the primary objectives of this research study are to increase awareness and the need for research regarding the importance of the independently owned hotel sector and to provide managers of these properties with forecasting tools that may enhance hotels' competitiveness. The operational challenges of independently hotels are unique as well as their needs. Accordingly, potential challenges of these properties are reviewed to stress the need for forecasting and to determine tools that are reliable and at the same time account for the challenges unique to independent hotels. The comparison of strengths and weaknesses of commonly used forecasting tools shows that time series models may be both reliable and practical for the managers of independently owned hotels to use.	en
dc.description.notes	pages 631-644.	en
dc.format.mimetype	application/pdf	en
dc.identifier.uri	http://hdl.handle.net/10919/78849	en
dc.language.iso	en_US	en
dc.publisher	Virginia Tech	en
dc.rights	Creative Commons Attribution 4.0 International	en
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	en
dc.subject	COMPETITIVENESS	en
dc.subject	FORECASTINGX	en
dc.subject	INDEPENDENT HOTELS	en
dc.subject	PRACTICAL	en
dc.subject	TIME SERIES	en
dc.subject	HOTEL SALES	en
dc.title	Practical Sales Forcasting: Potential Solutions for Independently Owned Hotels [Summary]	en
dc.title.serial	Tourism Analysis	en
dc.type	Summary	en
dc.type.dcmitype	Text	en