2017
DOI: 10.1016/j.trd.2017.07.023
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Mobile taxi booking application service’s continuance usage intention by users

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Cited by 148 publications
(145 citation statements)
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“…Based on Hair et al's [61] suggestions, the two-step approach was applied for analysis of the data in this research. In the first step, the measurement model was analysed to determine the validity and reliability of the constructs [62][63][64]. In the second step, the proposed hypotheses were tested using the bootstrapping technique with 2000 replications.…”
Section: Discussionmentioning
confidence: 99%
“…Based on Hair et al's [61] suggestions, the two-step approach was applied for analysis of the data in this research. In the first step, the measurement model was analysed to determine the validity and reliability of the constructs [62][63][64]. In the second step, the proposed hypotheses were tested using the bootstrapping technique with 2000 replications.…”
Section: Discussionmentioning
confidence: 99%
“…Lin and Hsieh 7 also confirmed that the more satisfaction customer experience in using IS, the more likely they are to use it again and recommend it to others. Literature has shown a number of empirical studies which proved the positive impact of satisfaction on continuance intention in the context of SSTs (see 16,27,28,36 ). Therefore, it is hypothesized that: H6: Customer satisfaction has positive impact on customers' continuance intention towards SSTs Figure 1 shows 06 hypotheses of the study.…”
Section: Customer Satisfaction and Continuance Intentionmentioning
confidence: 99%
“…According to the Technology Continuance Theory, perceived risks and subjective norms may predict the usage of app-based, on-demand ride-hailing services. Using a sample of 480 citizens in Kuala Lumpur, Weng et al [26] examined people's perceptions and willingness to continue using taxis. The findings support the effects of subjective variables, such as perceived usefulness and service satisfaction, on users' broader preference for taxis.…”
Section: Determinants Of On-demand Ride-hailing Ridershipmentioning
confidence: 99%
“…Studies on ride-hailing travel behavior have employed various approaches for data collection. Some studies have used random neighborhoods as their unit of analysis [21], while others have employed intercept survey conducted in locations with significant ride-hailing ridership [4], or locations that generate a significant number of trips, such as parks [26] The majority of these studies investigated the determinants of ride-hailing demand within a given TAZ [8,20,22] and extracted point-to-point GPS data [28].…”
Section: Determinants Of On-demand Ride-hailing Ridershipmentioning
confidence: 99%
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