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Erschienen in: Marketing Letters 1/2021

04.11.2020

A first look at online reputation on Airbnb, where every stay is above average

verfasst von: Georgios Zervas, Davide Proserpio, John W. Byers

Erschienen in: Marketing Letters | Ausgabe 1/2021

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Abstract

Judging by the millions of reviews left by guests on the Airbnb platform, this trusted community marketplace for accommodations is fulfilling its mission of matching travelers with hosts having room to spare remarkably well. Based on our analysis of ratings, we collected for millions of properties listed on Airbnb worldwide, we find that nearly 95% of Airbnb properties boast an average star-rating of either 4.5 or 5 stars (the maximum); virtually none have less than a 3.5 star-rating. We contrast this with the ratings of roughly 700,000 hotels, B&Bs, and vacation rentals worldwide that we collected from TripAdvisor. We find that hotel and B&B average ratings are much lower—3.8 and 4.1 stars, respectively—with much more variance across reviews. TripAdvisor vacation rental ratings are more similar to Airbnb ratings, but only about 85% of properties have an average rating of 4.5 or 5 stars. We then consider properties cross-listed on both platforms. For these properties, we find that even though the average ratings on Airbnb and TripAdvisor are more similar than hotels and B&Bs, proportionally more properties receive the highest ratings (4.5 stars and above) on Airbnb than on TripAdvisor. Moreover, there is only a weak correlation in the ratings of individual cross-listed properties across the two platforms. Finally, we show that these differences are consistent when considering data from two different time periods: 2015 and 2018.

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Fußnoten
1
We note that all reviews on Airbnb are solicited and published subsequent to a verified trip, so we believe that review fraud by users, a problem that plagues other review platforms (including TripAdvisor), is not a significant factor on Airbnb.
 
2
A proof of stay is not required by TripAdvisor for a user to write a review, unlike Airbnb.
 
3
Reviews for users that decide not to create an account are listed anonymously as reviews written by “A TripAdvisor Member”.
 
4
In an earlier version of this paper, we only used data up to 2015. This dataset was then updated over the years (until March 2018) by searching for existing and new properties available for rent on Airbnb and replacing old records with new records. This data collection process makes it difficult to identify properties that are active, i.e., available for rent, after 2015. However, as we discuss in the Web Appendix, we rely on Airbnb review timestamps to identify active listings in a specific year and provide robustness checks that support the validity of our results.
 
5
We are left with more hotels in 2020 than in 2015 because many properties accumulated reviews during the time period 2015–2020.
 
6
Our results are not sensitive to the threshold used.
 
7
This procedure links each Airbnb property to at most one TripAdvisor property, but it allows for multiple Airbnb properties to be linked to the same TripAdvisor property. This is quite common, as Airbnb listings are typically at the granularity of individual rooms, whereas TripAdvisor listings are at the granularity of the property (e.g., B&B).
 
8
In the Web Appendix, we replicate our findings using this subset of listings and obtain similar results.
 
9
Similar techniques based on heuristic and checks have been used in different settings, i.e., matching advertising spending and TripAdvisor hotel reviews (Hollenbeck et al. 2019).
 
10
Only guests with a past stay can write a review, and the minimum transaction cost on Airbnb is $10 plus Airbnb service fees.
 
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Metadaten
Titel
A first look at online reputation on Airbnb, where every stay is above average
verfasst von
Georgios Zervas
Davide Proserpio
John W. Byers
Publikationsdatum
04.11.2020
Verlag
Springer US
Erschienen in
Marketing Letters / Ausgabe 1/2021
Print ISSN: 0923-0645
Elektronische ISSN: 1573-059X
DOI
https://doi.org/10.1007/s11002-020-09546-4

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