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Taxi within a grab? A gender-invariant model of mobile taxi adoption

Keng-Boon Ooi, Fang-Ee Foo, Garry Wei-Han Tan, Jun-Jie Hew, Lai-Ying Leong

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 17 December 2020

Issue publication date: 2 February 2021

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Abstract

Purpose

The paper intends to examine mobile taxi (m-taxi) adoption, so as to close the gap in the current literature and clarify the behaviour of users by synthesising technological factors that are related to the characteristics of m-taxi applications with non-technological factors that are associated with the psychological characteristics of customers. The moderating effects of gender were also tested.

Design/methodology/approach

A self-administered questionnaire was adopted for data collection with 415 useable responses. The theoretical lens was tested via partial least squares-structural equation modelling. Additionally, state-of-the-art techniques such as permutation and multigroup analysis were applied.

Findings

Results indicate that social pressure, technology anxiety, effort expectancy, performance expectancy, and service and system quality are not significantly related to behavioural intention. Also, findings show no significant differences among gender in this study, which suggests that the model is invariant across gender groups.

Originality/value

This study provides a novel insight by taking a broader perspective of ride-hailing terminology by considering both taxis and private vehicles.

Keywords

Acknowledgements

This work was supported by the UCSI University Pioneer Scientist Incentive Fund (PSIF) [project number Proj-In-FOBIS-004].

Citation

Ooi, K.-B., Foo, F.-E., Tan, G.W.-H., Hew, J.-J. and Leong, L.-Y. (2021), "Taxi within a grab? A gender-invariant model of mobile taxi adoption", Industrial Management & Data Systems, Vol. 121 No. 2, pp. 312-332. https://doi.org/10.1108/IMDS-04-2020-0239

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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