Understanding the adoption of bike sharing systems By combining technology diffusion theories and perceived risk
2019 (English)In: Journal of Hospitality and Tourism Technology, ISSN 1757-9880, E-ISSN 1757-9899, Vol. 10, no 3, p. 494-508Article in journal (Refereed) Published
Abstract [en]
Purpose: This study aims to investigate users' adoption of bike sharing systems in China.
Design/methodology/approach: This 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.
Findings: The 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 implications: It 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/value: This 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.
Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2019. Vol. 10, no 3, p. 494-508
Keywords [en]
UTAUT, TAM, Adoption, Perceived risks, Bike sharing systems
National Category
Information Systems
Identifiers
URN: urn:nbn:se:oru:diva-76993DOI: 10.1108/JHTT-08-2018-0089ISI: 000485958600016Scopus ID: 2-s2.0-85071684344OAI: oai:DiVA.org:oru-76993DiVA, id: diva2:1357153
2019-10-032019-10-032024-06-11Bibliographically approved