The Rise of the Sharing Economy: Estimating the Impact of Airbnb on the Hotel Industry
- G. Zervas, Davide Proserpio, J. Byers
- Business
- 1 October 2017
Peer-to-peer markets, collectively known as the sharing economy, have emerged as alternative suppliers of goods and services traditionally provided by long-established industries. The authors explore…
Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud
- Michael Luca, G. Zervas
- Computer ScienceManagement Sciences
- 1 May 2015
This work analyzes restaurant reviews identified by Yelp's filtering algorithm as suspicious, or fake, and treats these as a proxy for review fraud, finding that a restaurant is more likely to commit review fraud when its reputation is weak, or it has recently received bad reviews.
A first look at online reputation on Airbnb, where every stay is above average
- G. Zervas, Davide Proserpio, J. Byers
- PhysicsMarketing letters
- 28 January 2015
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…
Marketing in the Sharing Economy
- Giana M. Eckhardt, M. Houston, Baojun Jiang, Cait Lamberton, A. Rindfleisch, G. Zervas
- BusinessJournal of Marketing
- 9 July 2019
The last decade has seen the emergence of the sharing economy as well as the rise of a diverse array of research on this topic both inside and outside the marketing discipline. However, the sharing…
The groupon effect on yelp ratings: a root cause analysis
- J. Byers, M. Mitzenmacher, G. Zervas
- EconomicsACM Conference on Economics and Computation
- 10 February 2012
This work rigorously considers and evaluates various hypotheses about underlying consumer and merchant behavior in order to understand the Groupon effect, and suggests an additional novel hypothesis: reviews from Groupon users are lower on average because such reviews correspond to real, unbiased customers, while the body of reviews on Yelp contain some fraction of reviews from biased or even potentially fake sources.
Online Reputation Management: Estimating the Impact of Management Responses on Consumer Reviews
- Davide Proserpio, G. Zervas
- BusinessMarketing science (Providence, R.I.)
- 15 June 2015
It is found that responding hotels, which account for 56% of hotels in the data, see an average increase in ratings, and this increase is consistent with a shift in reviewer selection: consumers with a poor experience become less likely to leave a negative review when hotels begin responding.
Daily deals: prediction, social diffusion, and reputational ramifications
- J. Byers, M. Mitzenmacher, G. Zervas
- Computer ScienceWeb Search and Data Mining
- 7 September 2011
A study of the economics of daily deals on the web, based on a dataset compiled by monitoring Groupon and LivingSocial sales in 20 large cities over several months, provides evidence that daily deal sites benefit from significant word-of-mouth effects during sales events, consistent with results predicted by cascade models.
A Month in the Life of Groupon
- J. Byers, M. Mitzenmacher, Michalis Potamias, G. Zervas
- EconomicsArXiv
- 4 May 2011
Information asymmetries in pay-per-bid auctions
- J. Byers, M. Mitzenmacher, G. Zervas
- EconomicsACM Conference on Economics and Computation
- 13 January 2010
It is found that even small asymmetries across players (cheaper bids, better estimates of other players' intent, different valuations of items, committed players willing to play "chicken") can increase the auction duration significantly and thus skew the auctioneer's profif disproportionately.
Heapable Sequences and Subsequences
- J. Byers, Brent Heeringa, M. Mitzenmacher, G. Zervas
- Mathematics, Computer ScienceWorkshop on Analytic Algorithmics and…
- 14 July 2010
An efficient algorithm is obtained for determining the heapability of a sequence, and it is proved that the question of whether a sequence can be arranged in a complete binary heap is NP-hard.
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