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Dependency of Spanish Urban Hotels on Booking.Com

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There is an increasing dependency of hotels on online travel agencies (OTAs) around the world, particularly in Booking.com when we focus on Europe, but there is a lack of information about accurate data related to market share of OTAs. Moreover, it is not possible to access individual information about hotels' dependency on OTAs because it is confidential. An indicator, based on the number of reviews of each hotel on Booking.com (RpR), is proposed as a proxy for hotel reservations. It does not provide the exact number of reservations made through Booking.com, but allows comparing dependency levels. Results from Spanish urban hotels suggest higher dependency percentage than in previous research using surveys at a European level. Independent hotels and hotels with small size or low star category are clearly more dependent on Booking.com. The RpR could be used as a benchmarking tool for hotels when comparing with competitors and can also function as an indicator of the evolution of the dependence on OTAs for individual hotels. The methodology described can be applied to other OTAs that have a similar reviewing system, like Expedia, Agoda or HRS, which would provide estimations about competitors' distribution mix.

Keywords: BOOKING.COM; DEPENDENCY; HOTELS; ONLINE TRAVEL AGENCIES (OTAS); REVIEWS

Document Type: Research Article

Publication date: 12 February 2019

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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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