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

Abstract

The wide acceptance of bike sharing services depends on the consumers’ continuing use of bike sharing services. Facilitating users’ continuance intentions and retaining consumers are important to bike sharing service providers and governments. Following extended technology continuance theory and incorporating perceived risk, we aim to identify factors that affect bike sharing services’ continuance intentions in this study. We use a questionnaire survey involving 559 respondents to conduct data analysis with structural equation modeling. Our empirical results demonstrate that the extended technology continuance theory could provide a strong rationale in the investigation of continuance intention to adopt bike sharing services. Perceived usefulness, satisfaction, and attitude are positively associated with continuance intention. Perceived usefulness also positively impacts satisfaction and attitude. Perceived risk tends to be negatively related to satisfaction. Additionally, confirmation can positively impact perceived usefulness and perceived ease of use. Perceived ease of use is positively associated with perceived usefulness and attitude.