This study draws upon institution-based trust theory to examine the impact of four institutional mechanisms and social influence on customers’ trust formulation and continuance intention in the car-sharing platform. Data was collected from 307 customers in DiDi-which is one of the largest sharing platforms for travelling in China, and structural equation modeling statistical method was used to test the research model. The empirical results suggest that feedback mechanism and surge pricing are the most significant antecedents in building customers’ trust, followed by payment security, driver certification and social influence. Further, customers’ trust in the car-sharing platform is positively associated with their continuance intention. Theoretical and practical implications are discussed in the final section.
Shao, Zhen and Yin, Hao, "Trust Building in the Car-Sharing Platform: An Empirical Study in China" (2018). CONF-IRM 2018 Proceedings. 47.