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

Raffaele Filieri, Francesco Luigi Milone, Emilio Paolucci and Elisabetta Raguseo
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Elisabetta Raguseo: Polito - Politecnico di Torino = Polytechnic of Turin, CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon

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Abstract: 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.

Keywords: COVID-19; Airbnb host; occupancy; price premium; construal theory; signaling theory (search for similar items in EconPapers)
Date: 2023-05
New Economics Papers: this item is included in nep-tur and nep-ure
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Published in International Journal of Hospitality Management, 2023, 111, pp.103461. ⟨10.1016/j.ijhm.2023.103461⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04138938

DOI: 10.1016/j.ijhm.2023.103461

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