Location

Hilton Waikoloa Village, Hawaii

Event Website

http://www.hicss.hawaii.edu

Start Date

1-4-2017

End Date

1-7-2017

Description

Modern technologies, including mobile applications and Internet-based platforms, continuously foster the rise of the sharing economy. In this paper, we focus on Uber, a ridesharing platform that is one of the fastest growing startups worldwide. We take the perspective of a potential customer and investigate the implications of trust. In particular, we modify a research model by Gefen (2000) and investigate the influence of trust on the customers’ intentions: ‘Inquire about drivers’ and ‘Request a ride’. In this regard, we differentiate between ‘Trust in Uber’ and ‘Trust in drivers’, while incorporating the two antecedents: ‘Disposition to trust’ and ‘Familiarity with Uber’. The study employs survey data (n = 221) and structural equation modeling (CB SEM). Our results provide empirical evidence that ‘Trust in Uber’ influences the customers’ intentions, whereas the influence of ‘Trust in drivers’ is insignificant.

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Jan 4th, 12:00 AM Jan 7th, 12:00 AM

The Implications of Trust in the Sharing Economy – An Empirical Analysis of Uber

Hilton Waikoloa Village, Hawaii

Modern technologies, including mobile applications and Internet-based platforms, continuously foster the rise of the sharing economy. In this paper, we focus on Uber, a ridesharing platform that is one of the fastest growing startups worldwide. We take the perspective of a potential customer and investigate the implications of trust. In particular, we modify a research model by Gefen (2000) and investigate the influence of trust on the customers’ intentions: ‘Inquire about drivers’ and ‘Request a ride’. In this regard, we differentiate between ‘Trust in Uber’ and ‘Trust in drivers’, while incorporating the two antecedents: ‘Disposition to trust’ and ‘Familiarity with Uber’. The study employs survey data (n = 221) and structural equation modeling (CB SEM). Our results provide empirical evidence that ‘Trust in Uber’ influences the customers’ intentions, whereas the influence of ‘Trust in drivers’ is insignificant.

http://aisel.aisnet.org/hicss-50/os/trusted_system/4