A global-scale analysis of the sharing economy model – an AirBnB case study

Quattrone, Giovanni ORCID logoORCID: https://orcid.org/0000-0001-9219-8437, Kusek, Natalia and Capra, Licia ORCID logoORCID: https://orcid.org/0000-0003-1425-3837 (2022) A global-scale analysis of the sharing economy model – an AirBnB case study. EPJ Data Science, 11 (1) , 36. pp. 1-29. ISSN 2193-1127 [Article] (doi:10.1140/epjds/s13688-022-00349-3)

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Abstract: The sharing economy model has changed the way in which people engage in a variety of activities, including travelling, trading, working, and lending/borrowing money. Several studies exist that aim to understand, quantify and model such phenomenon, but most such studies are geographically focused on countries in the Western World. Knowledge about the penetration and adoption of this novel market model in non-Western countries is much more limited, and almost completely lacking when it comes to emerging markets, where it was touted to bring the biggest benefits and be a game changer to uplift people economically. To close the gap, we chose Airbnb as an example of sharing economy model with worldwide market penetration, and performed a large-scale quantitative study of its penetration and adoption in seven cities in Asia, five cities in Latin America. We compared findings against seven cities in the Western World, and observed patterns to be similar across all locales, with two notable exceptions: the geographic penetration of such services, and the experience that guests travelling to such destinations shared in their reviews.

Item Type: Article
Keywords (uncontrolled): Regular Article, Sharing economy, Airbnb, Market analysis, Linguistic analysis
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 35327
Notes on copyright: © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
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Depositing User: Jisc Publications Router
Date Deposited: 30 Jun 2022 09:09
Last Modified: 30 Jun 2022 09:09
URI: https://eprints.mdx.ac.uk/id/eprint/35327

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