No matter what the name, we’re all the same? Examining ethnic online discrimination in ridesharing marketplaces

Author:

Abramova OlgaORCID

Abstract

AbstractSharing marketplaces emerged as the new Holy Grail of value creation by enabling exchanges between strangers. Identity reveal, encouraged by platforms, cuts both ways: While inducing pre-transaction confidence, it is suspected of backfiring on the information senders with its discriminative potential. This study employs a discrete choice experiment to explore the role of names as signifiers of discriminative peculiarities and the importance of accompanying cues in peer choices of a ridesharing offer. We quantify users’ preferences for quality signals in monetary terms and evidence comparative disadvantage of Middle Eastern descent male names for drivers and co-travelers. It translates into a lower willingness to accept and pay for an offer. Market simulations confirm the robustness of the findings. Further, we discover that females are choosier and include more signifiers of involuntary personal attributes in their decision-making. Price discounts and positive information only partly compensate for the initial disadvantage, and identity concealment is perceived negatively.

Funder

Universität Potsdam

Publisher

Springer Science and Business Media LLC

Subject

Management of Technology and Innovation,Marketing,Computer Science Applications,Economics and Econometrics,Business and International Management

Reference116 articles.

1. Abramova, O., Krasnova, H., & Tan, C. W. (2017). How much will you pay? Understanding the value of information cues in the sharing economy. Proceedings of the 25th European Conference on Information Systems (ECIS), Guimarães: Portugal, pp. 1011–1028. Retrieved from https://aisel.aisnet.org/ecis2017_rp/66

2. Ahuja, R., & Lyons, R. C. (2019). The silent treatment: Discrimination against same-sex relations in the sharing economy. Oxford Economic Papers, 71(3), 564–576. https://doi.org/10.1093/oep/gpz025

3. Airbnb.com. (2020). Retrieved November 05, 2020 from https://www.airbnb.com

4. Arrow, K. (1971). The theory of discrimination. Discrimination in Labor Markets, 3(10), 3–33. https://doi.org/10.1515/9781400867066-003

5. Arrow, K. J. (1998). What has economics to say about racial discrimination? Journal of Economic Perspectives, 12(2), 91–100. https://doi.org/10.1257/jep.12.2.91

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3