Negative signals on Peer-to-Peer platforms: The impact of cancellations on host performance across different property types

Raffaele Filieri (), Elisabetta Raguseo and Francesco Galati ()
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Raffaele Filieri: Audencia Business School
Elisabetta Raguseo: Polito - Politecnico di Torino = Polytechnic of Turin
Francesco Galati: Eurecom [Sophia Antipolis]

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Abstract: Scholars investigated the factors enhancing Airbnb hosts' performance; however, less research focused on negative signals, such as host cancellation messages. Cancellations are a negative signal that conspicuously reveals the number of times a host has canceled a pre-existing reservation. Drawing upon signaling theory and product involvement, we argue that cancellation signals have a negative impact on host occupancy, but this impact is moderated by the level of involvement associated with the accommodation type (i.e., private room, shared room, entire apartment). The study used a dataset of 31,778 reviews of 6384 Airbnb listings. The results show that accommodation type moderates the relationship, that is, the impact of cancellations is stronger for higher involvement accommodations (entire apartment) versus low involvement ones (shared rooms). This study advances the literature on negative signals and helps P2P managers understand the impact of cancellations on their revenues.

Keywords: Airbnb host; Signaling theory; Negative signal; Cancellation rate; Accommodation type; Occupancy rate (search for similar items in EconPapers)
Date: 2023-07
New Economics Papers: this item is included in nep-pay
Note: View the original document on HAL open archive server: https://hal.science/hal-04779130v1
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Published in International Journal of Hospitality Management, 2023, 114 (Septembre 2023), pp.103564. ⟨10.1016/j.ijhm.2023.103564⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04779130

DOI: 10.1016/j.ijhm.2023.103564

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