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Understanding the adoption of bike sharing systems

Understanding the adoption of bike sharing systems This study aims to investigate users’ adoption of bike sharing systems in China.Design/methodology/approachThis research combined perceived risk factors with existing technology diffusion theories (e.g. technology acceptance model and unified theory of acceptance and use of technology) to develop a research model to examine users’ adoption of bike sharing systems in China. As a result, a research model with 11 hypotheses was developed. The developed research model was empirically tested using data collected from a survey of 298 users in China. Structural equation modeling was used to analyze the collected data.FindingsThe findings indicated that perceived usefulness, facilitating conditions and perceived risks were important determinants to the adoption of bike sharing systems. However, perceived ease of use and social influence did not have significant positive impacts on users’ behavioral intention to use bike sharing systems.Practical implicationsIt is important for service providers to dedicate their time and efforts in maintaining and repairing bikes to ensure that the bikes are in a good condition to be used. System providers need to work on good solutions to better protect users’ personal information and location information.Originality/valueThis study is first of its kinds in investigating the adoption of bike sharing systems by combining technology diffusion theories and perceived risk theory in China. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Hospitality and Tourism Technology Emerald Publishing

Understanding the adoption of bike sharing systems

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1757-9880
DOI
10.1108/jhtt-08-2018-0089
Publisher site
See Article on Publisher Site

Abstract

This study aims to investigate users’ adoption of bike sharing systems in China.Design/methodology/approachThis research combined perceived risk factors with existing technology diffusion theories (e.g. technology acceptance model and unified theory of acceptance and use of technology) to develop a research model to examine users’ adoption of bike sharing systems in China. As a result, a research model with 11 hypotheses was developed. The developed research model was empirically tested using data collected from a survey of 298 users in China. Structural equation modeling was used to analyze the collected data.FindingsThe findings indicated that perceived usefulness, facilitating conditions and perceived risks were important determinants to the adoption of bike sharing systems. However, perceived ease of use and social influence did not have significant positive impacts on users’ behavioral intention to use bike sharing systems.Practical implicationsIt is important for service providers to dedicate their time and efforts in maintaining and repairing bikes to ensure that the bikes are in a good condition to be used. System providers need to work on good solutions to better protect users’ personal information and location information.Originality/valueThis study is first of its kinds in investigating the adoption of bike sharing systems by combining technology diffusion theories and perceived risk theory in China.

Journal

Journal of Hospitality and Tourism Technology – Emerald Publishing

Published: Sep 13, 2019

Keywords: UTAUT; TAM; Adoption; Perceived risks; Bike sharing systems

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