Predicting Passengers’ Uber Adoption Behaviour: Evidence from Bangladesh

Abstract

Keeping the substantial growth of sharing economy in view, the paper has predicted the passengers’ Uber adoption behaviour from a Bangladeshi perspective. The researchers have assembled data from 310 passengers in an age range between 23 and 55. Utilizing the structural equation modeling, researchers found that performance expectancy, effort expectancy, attitude, price value, and trust in Uber, positively induce Uber adoption intention. Besides, actual Uber adoption can substantially be predicted as a function of price value, trust, and Uber adoption intention. Furthermore, Uber adoption intention has been established as a mediator in the link of each of the exogenous constructs of the proposed model and actual Uber adoption behaviour. Finally, it has been demonstrated that those who belong to the younger generation and embrace innovation have a relatively higher Uber adoption rate. In light of these findings, the authors have provided several suggestions for Uber Bangladesh so that its adoption rate can be enhanced.