Browsing by Author "Semrad, Kelly J."

Now showing 1 - 3 of 3
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    The Impact of Discounting Room Rates on In-house restaurant sales [Summary]
    Murphy, Kevin S.; Semrad, Kelly J.; Yost, Elizabeth (Virginia Tech, 2013)
    This study investigates whether discounting hotel room rates during low seasons of demand influences in-house hotel restaurant sales in a positive way. A linear regression function was utilized to assess the relationship between discounting room rates and the hotel's in-house restaurant sales.
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    The managerial flash sales dash: Is there advantage or disadvantage at the finish line? [Summary]
    Berezina, Katerina; Semrad, Kelly J.; Stepchenkova, Svetlana; Cobanoglu, Cihan (Virginia Tech, 2016)
    The central intent of this qualitative inquiry is to investigate the benefits, drawbacks, and performance measures of hotel room inventory distribution via flash sales websites. Key advantages and disadvantages of using such a distribution channel fall within the categories of inventory management, revenue management, brand marketing, customer relationships, and operational challenges. The significance of the study is in providing a comprehensive review of the flash sales phenomenon in the lodging industry that may assist hotel managers with the performance evaluation of this distribution channel. Using grounded theory methodology, a flash sales evaluation framework was developed based on 46 phone interviews with hotel managers from different segments of the American hotel industry.
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    Practical Sales Forcasting: Potential Solutions for Independently Owned Hotels [Summary]
    Sorokina, Ekaterina; Semrad, Kelly J.; Mills, Brian (Virginia Tech, 2016)
    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.