 Determinants of the Continued Intention of College Students in China to Use DiDi Mobile Car-Sharing ServicesIsaac Kofi Mensah, Zhao Tianyu, Guohua Zeng and Luo Chuanyong SAGE Open, 2019, vol. 9, issue 4, 2158244019893697 Abstract: This research paper examined the continued intention of college students to use DiDi mobile car-sharing services in China. The unified theory of acceptance and use of technology (UTAUT) was used as the theoretical framework while the data analysis was completed with SPSS. The results have demonstrated that performance expectancy, reliability, efficiency, and security and privacy were significant predictors of the continued intention to use mobile car-sharing services. Contrary to our expectations, effort expectancy was not a significant determinant of the continued intention to use mobile car-sharing services. In addition to these direct effects, the moderating impact of trust in the internet was also examined. The moderating analysis showed that trust in the internet showed no significant moderating impact on the relationship between performance expectancy, effort expectancy, reliability, efficiency, and security and privacy and the continued intention to use mobile car-sharing services. The implications of these findings are discussed. Keywords: sharing economy; car-sharing; students; China; DiDi; UTAUT (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:9:y:2019:i:4:p:2158244019893697 Access Statistics for this article More articles in SAGE Open |
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