Investigating perceived risks and benefits of information privacy disclosure in IT-enabled ride-sharing

Abstract

Abstract This study investigates what affects perceived risks and how the trade-off between perceived risks and benefits affects individuals’ information privacy choices in the context of IT-enabled ride-sharing. Using privacy calculus theory and immediate gratification, we adopt a mixed-methods approach. We use interview data to identify perceived information disclosure risks’ antecedents, and then implement our research model, conducting privacy calculus on data from 507 rideshare users. The results indicate that privacy awareness, previous online privacy invasion, mobile payment security, and negative media exposure influence information disclosure’s perceived risks and that perceived risks and benefits are significantly related to immediate gratification.