Determinants of consumers’ continuance intention to use dynamic ride-sharing services

Dynamic ride-sharing has been widely regarded as a potential way to alleviate traffic congestion and reduce environmental pollution. Prior studies have focused mainly on motivating consumers to adopt ride-sharing, but few have attempted to investigate continuance intention. This study constructs a comprehensive theoretical framework based on expectation confirmation theory to explore the critical factors influencing consumers’ continuance intention to use dynamic ride-sharing services. The empirical results indicate that the determinants of continuance intention are satisfaction, perceived usefulness, economic benefits, environmental awareness, and platform incentives. Female users’ satisfaction has a more important effect on continuance intention than male users’, whereas perceived usefulness has a relatively small effect. Unexpectedly, the effect of platform incentives on the continuance intention of female users is non-significant. The social experience of users without private cars has a stronger effect on satisfaction than that of users who have private cars.