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Practical Sales Forecasting: Potential Solutions for Independently Owned Hotels

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In 2013, 80% of the total hotel closures in the US were independently owned hotel properties. The impact of external factors coupled with the inability of independently owned properties to adapt quickly to a complex operating environment results in high uncertainty of future operations and reduced competitiveness. However, the preservation of this sector is a necessary condition for the lodging industry given that 49% of the worldwide room supply is independently owned and managed. Therefore, 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.


Document Type: Research Article

Publication date: November 18, 2016

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  • Established in 1996, Tourism Analysis is an interdisciplinary journal that provides a platform for exchanging ideas and research in tourism and related fields. The journal aims to publish articles that explore a broad range of research subjects, including, but not limited to, the social, economic, cultural, environmental, and psychological aspects of tourism, consumer behavior in tourism, sustainable and responsible tourism, and effective operations, marketing, and management.

    Tourism Analysis focuses on both theoretical and applied research and strives to promote innovative approaches to understanding the complex and dynamic nature of tourism, its stakeholders, businesses, and its effects on society. The journal welcomes articles on innovative research topics and methodologies beyond the traditional theory-testing sciences, such as robotics, computational sciences, and data analytics.

    Our primary goal is to contribute to the development and advancement of new knowledge in tourism while fostering critical reflections and debates on the radical changes and evolution in tourism among scholars, practitioners, policymakers, and other stakeholders.
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