Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/337680 
Erscheinungsjahr: 
2021
Quellenangabe: 
[Journal:] Annals of Tourism Research Empirical Insights [ISSN:] 2666-9579 [Volume:] 2 [Issue:] 1 [Article No.:] 100017 [Year:] 2021 [Pages:] 1-10
Verlag: 
Elsevier, Amsterdam
Zusammenfassung: 
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.
Schlagwörter: 
Multichanne
Home-sharing
Airbnb
Zero-inflated models
Endogeneity
Persistent Identifier der Erstveröffentlichung: 
Creative-Commons-Lizenz: 
cc-by-nc-nd Logo
Dokumentart: 
Article

Datei(en):
Datei
Größe
548.34 kB





Publikationen in EconStor sind urheberrechtlich geschützt.