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Characterizing Quality Aspects in Airbnb

Published: 23 October 2017 Publication History

Abstract

Sharing economy is a new kind of economy that allows users to share human or physical resources that they are able to supply with people who are interested in that resource. This new kind of economy has become very popular in the last few years with systems such as Airbnb, Uber, TaskRabbit among others. In this paper we present a quantitative analysis of quality aspects of different trust indicators rated by Airbnb users, one of the currently most notable sharing economy platforms. Based on public data collected from Airbnb, covering more than 220,602 hosts, we have analyzed six qualitative aspects related to trust in different regions of the world. Our results show that the quality aspects vary significantly from region to region. We have also assessed the relative importance of each quality aspect (e.g., value, accuracy, cleanliness, check-in, communication and location) for user satisfaction, finding that value is the most important quality aspect in most regions for user satisfaction.

References

[1]
Airbnb. 2017a. About Airbnb Page. (April 2017). https://www.airbnb.com.br/about/about-us
[2]
Airbnb. 2017b. Top Ten Cities: Only Two in the US. (2017). http://getpaidforyourpad.com/blog/top-ten-airbnb-cities/
[3]
Anil Bilgihan, Khaldoon Nusair, Fevzi Okumus, and Cihan Cobanoglu. 2015. Applying flow theory to booking experiences: An integrated model in an online service context. Information Management 52 (2015).
[4]
R. Botsman and R. Rogers. 2010. What's Mine is Yours: The Rise of Collaborative Consumption. HarperBusiness, New York, NY, USA.
[5]
Geanderson E. dos Santos and Raquel O. Prates. 2017. Uma Análise de Confiabilidade em Pesquisas em Sistemas de Economia Colaborativa. 14° Simpósio Brasileiro de Sistemas Colaborativos (2017).
[6]
Eyal Ert, Aliza Fleischer, and Nathan Magen. 2016. Trust and reputation in the sharing economy: The role of personal photos in Airbnb. Tourism Management 55 (2016).
[7]
Andrey Fradkin, Elena Grewal, Dave Holtz, and Matthew Pearson. 2015. Bias and Reciprocity in Online Reviews: Evidence From Field Experiments on Airbnb. In Proceedings of the Sixteenth ACM Conference on Economics and Computation (EC '15). ACM, New York, NY, USA.
[8]
Jiwon Jung, Susik Yoon, SeungHyun Kim, SangKeun Park, Kun-Pyo Lee, and Uichin Lee. 2016. Social or Financial Goals?: Comparative Analysis of User Behaviors in Couchsurfing and Airbnb. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '16). ACM, New York, NY, USA.
[9]
Xiao Ma, Jeffrey T. Hancock, Kenneth Lim Mingjie, and Mor Naaman. 2017. Self-Disclosure and Perceived Trustworthiness of Airbnb Host Profiles. In Proceedings of the 20th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion (CSCW '17). ACM, New York, NY, USA.
[10]
Sunjoo Oh and Jae Yun Moon. 2016. Calling for a Shared Understanding of the "Sharing Economy". In Proceedings of the 18th Annual International Conference on Electronic Commerce: E-Commerce in Smart Connected World (ICEC '16). ACM, New York, NY, USA.
[11]
C. Spearman. 1904. The Proof and Measurement of Association between Two Things. The American Journal of Psychology 15, 1 (1904), 72--101.
[12]
David Sánchez, Sergio Martínez, and Josep Domingo-Ferrer. 2016. Co-utile {P2P} ridesharing via decentralization and reputation management. Transportation Research Part C: Emerging Technologies 73 (2016), 147--166.

Cited By

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  • (2020)Peer-to-Peer Energy Markets: Understanding the Values of Collective and Community TradingProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376135(1-14)Online publication date: 21-Apr-2020

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    cover image ACM Other conferences
    IHC '17: Proceedings of the XVI Brazilian Symposium on Human Factors in Computing Systems
    October 2017
    622 pages
    ISBN:9781450363778
    DOI:10.1145/3160504
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    In-Cooperation

    • UDESC: Santa Catarina State University
    • Springer
    • SBC: Sociedade Brasileira de Computação
    • ACM: Association for Computing Machinery
    • UFSCar: Federal University of São Carlos
    • CAPES: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
    • UFPR: Universidade Federal do Paraná
    • CNPq: Conselho Nacional de Desenvolvimento Cientifico e Tecn
    • CGIBR: Comite Gestor da Internet no Brazil
    • OU: The Open University

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 23 October 2017

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    Author Tags

    1. Airbnb
    2. Sharing Economy
    3. Trust

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    IHC '17 Paper Acceptance Rate 66 of 184 submissions, 36%;
    Overall Acceptance Rate 331 of 973 submissions, 34%

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    View all
    • (2020)Peer-to-Peer Energy Markets: Understanding the Values of Collective and Community TradingProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376135(1-14)Online publication date: 21-Apr-2020

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