posted on 2019-07-02, 10:17authored byXusen Cheng, Ying Bao, Alex Zarifis, Jian Mou
This paper develops and tests a model of consumer trust in a sharing economy-enabled ride-sharing
platform from the perspective of psychological contract violation (PCV) and subsequent service recovery
efforts of the platform. Based on a mixed-design experiment, customers evaluate various hypothetical
PCV and recovery scenarios and complete a survey on their perspectives of trusting beliefs and trusting
intentions to the platform. We aim to prove that the type and magnitude of PCV can moderate the
relationship between service recovery attributes and customers’ trust in the ridesharing platform. In
addition, consumer habit also has a moderating effect on the relationship between consumers’ trusting
beliefs and trusting intention. The findings contribute to the understanding of customers trust and
evaluations of PCV encounters and service recovery. Practically, the results of this research can provide
ride-sharing platform managers with practical guidelines for providing appropriate recovery efforts to a
PCV encounter.
History
School
Business and Economics
Department
Economics
Published in
Twenty-fifth Americas Conference on Information Systems AMCIS
Citation
CHENG, X. ... et al., 2019. A model of customer trust in sharing economy-driven ride-sharing platforms involving psychological contract violation and recovery. Presented at the Twenty-fifth Americas Conference on Information Systems: New Frontiers in Digital Convergence (AMCIS), Cancun, Mexico, Aug 15-17th.