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The moderating effects of gender were also tested.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>This study provides a novel insight by taking a broader perspective of ride-hailing terminology by considering both taxis and private vehicles.<\/jats:p><\/jats:sec>","DOI":"10.1108\/imds-04-2020-0239","type":"journal-article","created":{"date-parts":[[2020,12,16]],"date-time":"2020-12-16T07:07:46Z","timestamp":1608102466000},"page":"312-332","source":"Crossref","is-referenced-by-count":52,"title":["Taxi within a grab? 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