2023
DOI: 10.1108/ijbm-05-2022-0202
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How to generate loyalty in mobile payment services? An integrative dual SEM-ANN analysis

Abstract: PurposeThe surging entrance of new mobile payment merchants into the growing market has prompted the need for an in-depth understanding of loyalty formation to retain customers. This study examines customers' loyalty generation process in mobile payment services by exploring the serial effect of cognitive drivers (i.e. brand awareness, perceived quality, brand image, perceived value and layout) on affective response, satisfaction and loyalty.Design/methodology/approachA survey using self-administered questionn… Show more

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Cited by 48 publications
(14 citation statements)
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“…Consequently, we integrated PLS-SEM and ANNs to build a multi-analytical approach to accurately determine the most significant predictors of attitude and intention. Several studies [ 61 , 62 , 63 , 64 , 65 ] have highlighted the effectiveness of this multi-analytical approach in providing in-depth and accurate insights for decision-makers. These valuable insights should help decision-makers to make well-informed decisions for achieving their desired outcomes in the respective research domains.…”
Section: Resultsmentioning
confidence: 99%
“…Consequently, we integrated PLS-SEM and ANNs to build a multi-analytical approach to accurately determine the most significant predictors of attitude and intention. Several studies [ 61 , 62 , 63 , 64 , 65 ] have highlighted the effectiveness of this multi-analytical approach in providing in-depth and accurate insights for decision-makers. These valuable insights should help decision-makers to make well-informed decisions for achieving their desired outcomes in the respective research domains.…”
Section: Resultsmentioning
confidence: 99%
“…Table 3 we see that the aggregate confidence exceeded the threshold of 0.70 (Chetioui et al, 2020; D. T. V. Dang et al, 2022; P. Van Nguyen & Nguyen, 2017), met the requirement and the questionnaire had good reliability, the average variance extracted (AVE) (Joseph F. Hair, 2017), with the AVE all greater than 0.5, the model had a good convergence value (T. Q. Dang, Tan, et al, 2023;Yu et al, 2021). Therefore, the correlation ratio in Hetero-Trait-Mono-Trait (HTMT) was used to value differentiation (DV), using criteria (HTMT<0.85), besides, the inference from HTMT used does change the sign and corrected for bias and acceleration, the reliability is about 95%, none of the satisfactory values are one, the table 4 is distinct and implements DV (Ting et al, 2017).…”
Section: Measurement Model Assessmentmentioning
confidence: 87%
“…Third, prior researchers have shown that consumers' behavioral intentions vary among social commerce platforms. Hence, future studies would benefit from comparing consumer attitudes and behaviors across specific social media or e‐commerce platforms (Dang et al, 2023; Theadora et al, 2022). Fifth, given the different influences and publicity of traditional and social media celebrities, future studies are suggested to adopt a comparative study of them as this study mainly focused on internet celebrities, thus providing comprehensive insights and guidance to social commerce sellers.…”
Section: Discussionmentioning
confidence: 99%