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Understanding bike sharing use over time by employing extended technology continuance theory

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References

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2009

Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model

1,265 cited

2003Inexperience and experience with online stores: the importance of TAM and trust965 cited

2005Consumers’ attitudes towards online and mobile banking in China765 cited

Cited by

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2024Promoting fintech: driving developing country consumers’ mobile wallet use through gamification and trust59 cited
2020Diffusion of public bicycle systems: Investigating influences of users’ perceived risk and switching intention56 cited
2022Factors Influencing the Acceptance of Robo-Taxi Services in China: An Extended Technology Acceptance Model Analysis52 cited
2020Exploring the Key Antecedents Influencing Consumer’s Continuance Intention toward Bike-Sharing Services: Focus on China50 cited
2022Exploring factors influencing bicycle-sharing adoption in India: a UTAUT 2 based mixed-method approach49 cited
2022Psychological Predictors of Intention to Use Fitness Apps: The Role of Subjective Knowledge and Innovativeness49 cited
2024“To share or not to share?” – A hybrid SEM-ANN-NCA study of the enablers and enhancers for mobile sharing economy47 cited
2024Enhancing the Combined-TAM-TPB model with trust in the sharing economy context: A meta-analytic structural equation modeling approach47 cited
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2020Spatiotemporal Characteristics of Bike-Sharing Usage around Rail Transit Stations: Evidence from Beijing, China43 cited