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The seven lives of Airbnb. The role of accommodation types

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  • Bresciani, Stefano
  • Ferraris, Alberto
  • Santoro, Gabriele
  • Premazzi, Katia
  • Quaglia, Roberto
  • Yahiaoui, Dorra
  • Viglia, Giampaolo

Abstract

This paper investigates how COVID-19 is impacting different accommodation types, and whether travellers' choices regarding accommodation type are affected by the need for physical distance. Study 1 shows that travellers are very reluctant to book shared flats on Airbnb during the pandemic. However, full flats – controlling for price levels - are preferred to hotel rooms. Study 2 clarifies the process behind the increased choice for full flats, i.e., the need for physical distance. In Study 3, we actively manipulate physical distance and show that assuring physical distance will reduce the concerns towards hotel and shared flat options. Apart from enlightening the psychological process behind accommodation choice, the study offers operators actionable suggestions on how to maximise bookings despite the pandemic.

Suggested Citation

  • Bresciani, Stefano & Ferraris, Alberto & Santoro, Gabriele & Premazzi, Katia & Quaglia, Roberto & Yahiaoui, Dorra & Viglia, Giampaolo, 2021. "The seven lives of Airbnb. The role of accommodation types," Annals of Tourism Research, Elsevier, vol. 88(C).
  • Handle: RePEc:eee:anture:v:88:y:2021:i:c:s0160738321000323
    DOI: 10.1016/j.annals.2021.103170
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    Cited by:

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    2. Hadjielias, Elias & Christofi, Michael & Christou, Prokopis & Hadjielia Drotarova, Maria, 2022. "Digitalization, agility, and customer value in tourism," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    3. Deri Maria Grazia & Lemmi Enrica & D’Acunto David, 2023. "Crowdfunding in the accommodation realm and pandemic times: The resilient case of CleanBnB," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 13(1), pages 80-96, December.
    4. Giulia Contu & Luca Frigau & Marco Ortu, 2023. "VGLM proportional odds model to infer hosts’ Airbnb performance," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4069-4094, October.
    5. He, Ling-Yang & Li, Hui & Bi, Jian-Wu & Yang, Jing-Jing & Zhou, Qing, 2022. "The impact of public health emergencies on hotel demand - Estimation from a new foresight perspective on the COVID-19," Annals of Tourism Research, Elsevier, vol. 94(C).
    6. José María Martín Martín & Sara Calvo Martínez & José Manuel Guaita Martínez & Domingo Enrique Ribeiro Soriano, 2022. "RETRACTED ARTICLE: Qualitative analysis on the driving force behind upcycling practices associated with mobile applications: Circular economy perspective," Operations Management Research, Springer, vol. 15(3), pages 647-661, December.
    7. Jang, Seongsoo & Kim, Jinwon, 2022. "Remedying Airbnb COVID-19 disruption through tourism clusters and community resilience," Journal of Business Research, Elsevier, vol. 139(C), pages 529-542.
    8. Feng, Nan & Xu, Nan & Feng, Haiyang & Li, Minqiang, 2022. "Turn on instant booking or not? Decisions of rival hosts," Annals of Tourism Research, Elsevier, vol. 96(C).

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