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The good, the bad, and the ugly : impact of analytics and artificial intelligence-enabled personal information collection on privacy and participation in ridesharing
ID Cheng, Xusen (Author), ID Su, Linlin (Author), ID Luo, Xin (Author), ID Benitez, Jose (Author), ID Cai, Shun (Author)

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Abstract
Big data analytics (BDA) and artificial intelligence (AI) may provide both bright and dark sides that may affect user participation in ridesharing. We do not know whether the juxtaposed sides of these IT artifacts influence users' cognitive appraisals, and if so, to what extent will their participative behavior be affected. This paper contributes to the IS research by uncovering the interplay between the dark and bright sides of BDA and AI and the underlying mechanisms of cognitive appraisals for user behavior in ridesharing. We performed two phases of the study using mixed-methods. In the first study, we conduct 21 semi-structured interviews to develop the research model. The second study empirically validated the research model using survey data of 332 passengers. We find that the usage of BDA and AI on ridesharing platforms have a bright side (usefulness, "the good") but also a dark side (uncertainty and invasion of privacy, "the bad and the ugly"). The bright side generates perceived benefits, and the dark side shape perceived risks in users, which discount the risks from the benefits of using the ridesharing platform. Privacy control exerts a positive effect on the perceived benefits to encourage individuals to use the ridesharing platform.

Language:English
Keywords:big data analytics, artificial intelligence, dark side, bright side, personal information, privacy control, ridesharing
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:EF - School of Economics and Business
Publication status:In print
Publication version:Author Accepted Manuscript
Year:2020
PID:20.500.12556/RUL-133220 This link opens in a new window
UDC:659.2:004
ISSN on article:0960-085X
DOI:10.1080/0960085X.2020.1869508 This link opens in a new window
COBISS.SI-ID:78980611 This link opens in a new window
Publication date in RUL:17.11.2021
Views:1550
Downloads:1272
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Record is a part of a journal

Title:European journal of information systems
Shortened title:Eur. j. inf. syst.
Publisher:Taylor & Francis
ISSN:0960-085X
COBISS.SI-ID:236563 This link opens in a new window

Licences

License:CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:http://creativecommons.org/licenses/by-nc/4.0/
Description:A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.
Licensing start date:11.01.2021

Projects

Funder:Other - Other funder or multiple funders
Funding programme:National Natural Science Foundation of China
Project number:71871061

Funder:Other - Other funder or multiple funders
Funding programme:European Regional Development Fund (European Union) and the Government of Spain
Project number:ECO2017-84138-P

Funder:Other - Other funder or multiple funders
Funding programme:Regional Government of Andalusia
Project number:A-SEJ-154-UGR18

Funder:Other - Other funder or multiple funders
Funding programme:Endowed Chair of Digital Business Transformation at Rennes School of Business

Funder:ARRS - Slovenian Research Agency
Funding programme:Raziskovalni program
Project number:P5-0410
Name:Digitalizacija kot gonilo trajnostnega razvoja posameznika, organizacij in družbe

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