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Multichannel distribution strategy of Airbnb hosts

Author

Listed:
  • Sauveur Giannoni

    (LISA - Laboratoire « Lieux, Identités, eSpaces, Activités » (UMR CNRS 6240 LISA) - CNRS - Centre National de la Recherche Scientifique - Università di Corsica Pasquale Paoli [Université de Corse Pascal Paoli])

  • Daniel Brunstein

    (LISA - Laboratoire « Lieux, Identités, eSpaces, Activités » (UMR CNRS 6240 LISA) - CNRS - Centre National de la Recherche Scientifique - Università di Corsica Pasquale Paoli [Université de Corse Pascal Paoli])

  • Florian Guéniot

    (LISA - Laboratoire « Lieux, Identités, eSpaces, Activités » (UMR CNRS 6240 LISA) - CNRS - Centre National de la Recherche Scientifique - Università di Corsica Pasquale Paoli [Université de Corse Pascal Paoli])

  • Johan Jouve

    (LISA - Laboratoire « Lieux, Identités, eSpaces, Activités » (UMR CNRS 6240 LISA) - CNRS - Centre National de la Recherche Scientifique - Università di Corsica Pasquale Paoli [Université de Corse Pascal Paoli])

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.

Suggested Citation

  • Sauveur Giannoni & Daniel Brunstein & Florian Guéniot & Johan Jouve, 2021. "Multichannel distribution strategy of Airbnb hosts," Post-Print hal-03216572, HAL.
    • Handle: RePEc:hal:journl:hal-03216572
    DOI: 10.1016/j.annale.2021.100017
    Note: View the original document on HAL open archive server: https://hal.science/hal-03216572v1
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    References listed on IDEAS

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    1. Brunstein, Daniel & Casamatta, Georges & Giannoni, Sauveur, 2025. "Using machine learning to estimate the heterogeneous impact of Airbnb on house prices: Evidence from Corsica," Journal of Housing Economics, Elsevier, vol. 67(C).
    2. Abrate, Graziano & Sainaghi, Ruggero & Mauri, Aurelio G., 2022. "Dynamic pricing in Airbnb: Individual versus professional hosts," Journal of Business Research, Elsevier, vol. 141(C), pages 191-199.
    3. Sauveur Giannoni & Sandrine Noblet & Paul-Antoine Bisgambiglia, 2023. "Surtourisme, sur-fréquentation et hyper-concentration des touristes : enseignements et perspectives pour la Corse," Post-Print hal-04653569, HAL.
    4. Daniel Brunstein & Georges Casamatta & Sauveur Giannoni, 2023. "Hétérogénéité de l'impact du développement d'Airbnb sur le marché immobilier en Corse," Post-Print hal-04122192, HAL.
    5. Agustín Cocola‐Gant & Daniel Malet Calvo, 2023. "The Platformization of Student Housing and the Rise of Mid‐Term Rentals. The Case of Uniplaces in Lisbon," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 114(5), pages 431-445, December.

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