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Article Dans Une Revue International Journal of Hospitality Management Année : 2023

A big data analysis of COVID-19 impacts on Airbnbs’ bookings behavior applying construal level and signaling theories

Résumé

This study investigates the impact of the COVID-19 pandemic on consumer booking behavior in the peer-to-peer accommodation sector. This study used a dataset composed of 2041,966 raws containing 69,727 properties located in all 21 Italian regions in the pre-and post-COVID-191. Results show that after the COVID-19 pandemic, consumers preferred P2P accommodations with price premiums and located in rural (versus urban) areas. Although the findings reveal a preference for entire apartments over shared accommodation (i.e., room, apartment), this preference did not change significantly after COVID-19 lockdowns. The contribution of this study lies in combining psychological distance theory and signaling theory to assess P2P performance in the pre-and post-COVID-19 periods.
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hal-04138938 , version 1 (23-06-2023)

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Raffaele Filieri, Francesco Luigi Milone, Emilio Paolucci, Elisabetta Raguseo. A big data analysis of COVID-19 impacts on Airbnbs’ bookings behavior applying construal level and signaling theories. International Journal of Hospitality Management, 2023, 111, pp.103461. ⟨10.1016/j.ijhm.2023.103461⟩. ⟨hal-04138938⟩
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