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‘Do not talk to strangers’: A study on trust in Brazilian ridesharing apps

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  • Vaclavik, Marcia Cristiane
  • Macke, Janaina
  • Faturi e Silva, Daniel

Abstract

The emergence of digital platforms based on network algorithms can mediate relationships of trust, boosting sharing economy business models. This study aims to identify the motivations and trust elements of ridesharing apps and analyze the weight of motivation variables in the explanation of trust in the platform service. The survey method was applied to a sample of 485 Brazilian users of a ridesharing app were addressed. Five factors were analyzed to users’ motivation: Perceived sustainability, Security risks, Enjoyment, Platform quality, and Economic reward. Results show that 50.6% of respondents use the service until three times per month (n = 246), while 12,6% use more than four times per week. This study contributes by showing that: (i) five key user motives and two types of trusts are empirically measured and examined for the Brazilian ridesharing market; (ii) the most significant variable that explains trust in platform is “Information providing”, following by platform safety and platform security; (iii) pleasant participation, enjoyment, and cheaper alternative were also significant for the trust in the platform; and (iv) trust in platform is higher than trust in drivers. These contributions could enhance applied solutions for sharing economy platforms and guide academic research on the topic.

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  • Vaclavik, Marcia Cristiane & Macke, Janaina & Faturi e Silva, Daniel, 2020. "‘Do not talk to strangers’: A study on trust in Brazilian ridesharing apps," Technology in Society, Elsevier, vol. 63(C).
    • Handle: RePEc:eee:teinso:v:63:y:2020:i:c:s0160791x20302220
    DOI: 10.1016/j.techsoc.2020.101379
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    References listed on IDEAS

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    1. Andrzej Bąk & Elżbieta Nawrocka & Daria E. Jaremen, 2022. "“Sustainability” as a Motive for Choosing Shared-Mobility Services: The Case of Polish Consumers of Uber Services," Sustainability, MDPI, vol. 14(10), pages 1-21, May.
    2. Quirós, Cipriano & Portela, Javier & Marín, Raquel, 2021. "Differentiated models in the collaborative transport economy: A mixture analysis for Blablacar and Uber," Technology in Society, Elsevier, vol. 67(C).
    3. Aityoussef, Asmaa & Belhcen, Lhacen, 2022. "“A predictive model of building initial trust in sharing economy: MULTI-DIMENSIONAL analysis of facebook users in Morocco”," Technology in Society, Elsevier, vol. 71(C).
    4. Gallardo Montes, Carmen del Pilar & Rodríguez Fuentes, Antonio & Caurcel Cara, María Jesús, 2021. "Apps for people with autism: Assessment, classification and ranking of the best," Technology in Society, Elsevier, vol. 64(C).
    5. Burghard, Uta & Scherrer, Aline, 2022. "Sharing vehicles or sharing rides - Psychological factors influencing the acceptance of carsharing and ridepooling in Germany," Energy Policy, Elsevier, vol. 164(C).
    6. Hossain, Mokter & Mozahem, Najib Ali, 2022. "Drivers’ perceptions of the sharing economy for transport services," Technological Forecasting and Social Change, Elsevier, vol. 179(C).

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