Browsing by Author "Kwok, Linchi"

Now showing 1 - 4 of 4
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    As More Companies Let Employees Work from Home Permanently, What is The Outlook of Business Travel?
    Kwok, Linchi (Hospitality Net, 2020-10-23)
    As many companies shift to working from home Permanently, hotels have begun to research how they can benefit from this shift. New trends could consist of turning hotel rooms into 8:00 am - 6:00 pm workspaces or meeting rooms. Others include monthly rates for leases on specific rooms or subscription packages. Brands are doing their best to make up for the $820 billion, and growing, losses cut in the business travel facet due to the COVID-19 pandemic.
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    The effects of Airbnb’s price positioning on hotel performance [Summary]
    Xie, Karen; Kwok, Linchi (Virginia Tech, 2017-10)
    This study examined the relationship between the price positioning of Airbnb listings, measured in price difference between a hotel property and the nearby Airbnb listings as well as price dispersion among these Airbnb listings, and the performance of nearby hotels.
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    Pricing strategies on Airbnb: Are multi-unit hosts revenue pros? [Summary]
    Kwok, Linchi; Xie, Karen (Virginia Tech, 2018-10)
    This study examined the effects of pricing strategies, including price positioning and dynamic pricing, on an Airbnb listing’s revenue with a particular interest on the performance difference between multi-unit and single-unit hosts. A series of econometric analyses were performed using a data set of 320,243 listings managed by 216,058 hosts in 10 major U.S. markets across a longitudinal period from October 2014 to July 2017.
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    Taxonomy of Facebook messages in business-to-consumer communications: What really works? [Summary]
    Kwok, Linchi; Yu, Bei (Virginia Tech, 2016-10-01)
    This research combines machine learning and human intelligence to analyze 2654 Facebook messages initiated by 26 hospitality companies to develop the taxonomy of Facebook messages in business-to-consumer (B2C) communications. Facebook messages can be classified into two broad message types: Sales/Marketing messages, with five sub-categories of Social Responsibility, Direct Boasting, Indirect Boasting, Product Highlight, and Campaign/Sales, and Conversational messages, with four sub-categories of Call for Action, Provoke Feedback, Advice/Suggestions, and Updates. By comparison, Conversational messages received more "Likes" and comments than Sales/Marketing messages. Direct Boasting, Product Highlight, Call for Action, Provoke Feedback, Advice/Suggestions, and Updates received more "Likes" than other types; Provoke Feedback and Call for Action received more comments. As compared to current literature, the results allow managers to advance more specific strategies to better engage with Facebook users and provide a more thorough taxonomy for additional analysis on companies' B2C messages on other social media websites.