Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/337680 
Year of Publication: 
2021
Citation: 
[Journal:] Annals of Tourism Research Empirical Insights [ISSN:] 2666-9579 [Volume:] 2 [Issue:] 1 [Article No.:] 100017 [Year:] 2021 [Pages:] 1-10
Publisher: 
Elsevier, Amsterdam
Abstract: 
The literature on the peer-to-peer hospitality market largely assumes that Airbnb hosts are loyal to the platform. However, similar to hoteliers, Airbnb hosts have access to various platforms to diversify their distribution channels. In cases where hosts significantly diversify their distribution channels, they should be considered rather as professional competitors mimicking hoteliers. Proposing an original image-recognition approach to obtain a proxy of the number of platforms used by Airbnb hosts, this paper assesses the probability that a home-sharer practices multichannel distribution. Drawing on a sample of more than 3900 hosts from the region of Corsica in France, we show that a multichannel distribution strategy is commonly adopted. Furthermore, a significant fraction of small hosts uses three or more channels.
Subjects: 
Multichanne
Home-sharing
Airbnb
Zero-inflated models
Endogeneity
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

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