A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Revenue Maximization of Airbnb Marketplace using Search Results
[article]
2019
arXiv
pre-print
Preserved Fulltext
Other Versions
We applied our solution to large-scale search data obtained from Airbnb Experiences marketplace. ...
Offline evaluation results show that our strategy improves upon baseline pricing strategies on key metrics by at least +20% in terms of booking regret and +55% in terms of revenue potential. ...
We used 6 months of anonymized search data from Airbnb Experiences marketplace to test our new pricing strategy, which aims to maximize revenue for the marketplace. ...
arXiv:1911.05887v2
fatcat:sxpifcz2bvg6pakgdwftmdvei4
Limiting Bias from Test-Control Interference in Online Marketplace Experiments
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Using a simulation built on top of data from Airbnb, this paper considers the use of methods from the network interference literature for online marketplace experimentation. ...
On the other hand, the use of more sophisticated estimators produces mixed results. ...
In this study, we are able to cluster Airbnb listings based on the same listing-level covariates used by both search algorithms and searchers. ...
arXiv:2004.12162v1
fatcat:phj4ra6nifctdgr4eltpvht2e4
Limiting Bias from Test-Control Interference in Online Marketplace Experiments
2020
Social Science Research Network
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Using a simulation built on top of scraped Airbnb data, this paper considers the use of experiment designs and ATE estimators from the network interference literature for online marketplace experimentation ...
Previous work has found evidence of bias due to test-control interference in online marketplace experiments. ...
Each set of simulated outcomes is generated using the following steps: The process above simplifies Airbnb marketplace dynamics in countless ways. ...
doi:10.2139/ssrn.3583596
fatcat:3iq7jeok3fdxhjo7kx3xfwfmba
Personal or Product Reputation? Optimizing Revenues in the Sharing Economy
2017
Journal of Travel Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The study proposes a revenue model where, given a frontier that depends on the shared assets, the maximization of revenues depends on reputational factors of the person and of the product. ...
These results emphasize the role of trust and personal branding strategies in peer-to-peer platforms. ...
Parties operating in sharing economy platforms are incentivized to use reputation-signaling mechanisms to maximize the likelihood of a successful transaction. ...
doi:10.1177/0047287517741998
fatcat:x4evbg475feilodajdjhid34ci
Economists (and Economics) in Tech Companies
2019
Journal of Economic Perspectives
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Athey and Ellison (2011) incorporate rational consumer search into the market design of auctions, motivating the use of reserve price not only as an instrument for raising revenue, but also as a tool ...
to change its reserve price policies for all of its search advertising-and making the company millions of dollars in additional revenue. ...
doi:10.1257/jep.33.1.209
fatcat:4yctxtpoc5ez5pleomnej3s5am
Location, location and professionalization: a multilevel hedonic analysis of Airbnb listing prices and revenue
2019
Regional Studies, Regional Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
professionalization of the short-term rental market is driving more revenue to a narrower segment of hosts. ...
Relying on a web-scraped data set of all Airbnb transactions in New York City (NYC) between August 2014 and September 2016, this paper presents the first hedonic regression model of Airbnb to take into ...
Thanks also to Andrew Owen (University of Minnesota) and David Levinson (University of Sydney) for providing the accessibility measures from the Access Across America project. ...
doi:10.1080/21681376.2019.1592699
fatcat:r3vmkaz4ffb57cuesqtdds32f4
Reducing Interference Bias in Online Marketplace Pricing Experiments
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this work, we measure and reduce bias due to interference in online marketplace experiments by using observational data to create clusters of similar listings, and then using those clusters to conduct ...
Online marketplace designers frequently run A/B tests to measure the impact of proposed product changes. ...
We also thank numerous other Airbnb employees who have assisted with this project. We also appreciate the helpful feedback we have received from Dean Eckles, ...
arXiv:2004.12489v1
fatcat:riet2dhebnajtk27irw3byy6ee
Pricing Strategies of Porto's Airbnb New Listings
2022
International Conference on Tourism Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The present paper uses information from the new listings in 2020 to investigate different hypotheses that explore the pricing strategies of Airbnb hosts for their new listings on the market. ...
Some Airbnb hosts have a long run approach, charging lower prices to attract more customers and achieve higher occupancy rates, while others have a short-run approach, charging higher prices to maximize ...
Acknowledgements Valentin Toader, Oana Ruxandra Bode and Rozalia Veronica Rus acknowledge that the publication of this article was supported by the 2021 Development Fund of the Babeș-Bolyai University. ...
doi:10.34190/ictr.15.1.249
fatcat:jjw4in6snvdtngy5hla7wv5dwq
Agent Behavior in the Sharing Economy: Evidence from Airbnb
2015
Social Science Research Network
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Using a data set of prices and availability of listings on Airbnb, we find that there exist substantial differences in the operational and financial performance of professional and nonprofessional hosts ...
We develop a parsimonious model to analyze the implications of having two such different host groups for a profit-maximizing platform operator and for a social planner. ...
For example, Zervas et al. (2014) study the effects of Airbnb on hotel revenues, Fradkin (2014) analyzes the consequences of search frictions using internal data from Airbnb, and Edelman et al. (2015 ...
doi:10.2139/ssrn.2708279
fatcat:gp25hmlh7zflxfouftpjuktkcq
Optimal Search Segmentation Mechanisms for Online Platform Markets
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Online platforms, such as Airbnb, hotels.com, Amazon, Uber and Lyft, can control and optimize many aspects of product search to improve the efficiency of marketplaces. ...
We extend our results to Cournot competition model, and show that the optimal search segmentation mechanisms for both social welfare maximization and revenue maximization also have simple threshold structures ...
Amazon and Airbnb use the discriminatory control model, where the platforms only control the list of products to display for each buyer's search, and the potential matches and transaction prices are determined ...
arXiv:1908.07489v1
fatcat:zhtzz33co5d5pevgivf6x5ifwi
Understanding platform business models: A mixed methods study of marketplaces
2018
European Management Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
While countless firms claim to offer the next 'Airbnb for X' or 'Uber for Y', we lack knowledge about the defining business model characteristics of these marketplaces. ...
Marketplace like Airbnb or Uber offer such digital platforms to connect previously unmatched demand-side and supply-side participants through innovative forms of value creation, delivery and capture. ...
In fact, only one firm in cluster 2 does not use any visible source of revenue at all. ...
doi:10.1016/j.emj.2017.06.005
fatcat:izg6wftqp5h4pfaekxp43v5tsi
Airbnb listings' performance: determinants and predictive models
2021
European Journal of Tourism Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The present study analyzes Airbnb listings' performance in terms of occupancy rate, number of bookings and revenue, by employing data mining methodologies. ...
The results and conclusions can be useful to individual hosts, professional listings' managers, as well as legislative and taxation authorities. ...
We highlight that these results are in accordance with the findings concerning occupancy.
Revenue The third class attribute used in the present study is revenue. ...
doi:10.54055/ejtr.v30i.2142
fatcat:juwfedhp3rap7iwbzn57sl62je
Platform Business: From Resources to Relationships
2017
GfK Marketing Intelligence Review
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Successful platforms seek to maximize the overall value of the whole system in a circular, revolving and feedback-driven process. ...
Successful platforms put companies that use traditional business models at risk. Many companies are still highly competitive, but when platforms enter the same marketplace, the platforms usually win. ...
Network effects gave us Alibaba, which accounts for over 75 % of Chinese e-commerce transactions; Google, which accounts for 82 % of mobile operating systems and 94 % of mobile search; and Facebook, the ...
doi:10.1515/gfkmir-2017-0004
fatcat:5mmsihswrjecfhcxg6kpwoszry
Categories and narratives as sources of distinctiveness: Cultural entrepreneurship within and across categories
2022
Strategic Management Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Our longitudinal study of 159,343 Airbnb listings in 45 categories strongly supports our hypotheses: the relationship between Airbnb listings' narrative distinctiveness and demand-side performance flips ...
distinctive categories (a) provide an important source of differentiation for their members and (b) disproportionally attract those audience members that highly value novelty. ...
An earlier version of this paper was nominated for the SMS Best Conference Paper Prize.
DATA AVAILABILITY STATEMENT Research data are not shared. ...
doi:10.1002/smj.3391
fatcat:s42sejs2vzbtvikklgq57wfhue
Tilted platforms: rental housing technology and the rise of urban big data oligopolies
2021
Urban Transformations
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
This article interprets emerging scholarship on rental housing platforms—particularly the most well-known and used short- and long-term rental housing platforms—and considers how the technological processes ...
The question of which data—and people—are hidden or marginalized on these platforms is just as important as the question of which data are available. ...
those that would maximize hosts' revenue (e.g. ...
doi:10.1186/s42854-021-00024-2
pmid:34423256
pmcid:PMC8371600
fatcat:5oxaxwuwmfhedo5zwiwz5svqjy
« Previous
Showing results 1 — 15 out of 476 results