The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.
Antecedents of trust and continuance intention in mobile payment platforms: The moderating effect of gender
Abstract
Abstract Drawing upon trust and innovation diffusion theories, our study develops a model to examine trust building mechanisms in the third-party mobile payment platforms. In particular, we investigate whether there exist significant differences between female and male consumers regarding various trust building mechanisms in the context of mobile payment. An empirical survey was conducted and 740 valid questionnaires were collected from Alipay and Wechat pay users in China. The statistical analysis results indicate that security is the most significant antecedent of customers’ trust, followed by platform reputation, mobility and customization. Customers’ trust, in turn, is negatively associated with perceived risk and positively associated with continuance intention. Moreover, a multi-group analysis shows that the relative influences of trust building mechanisms are contingent upon gender. Specifically, mobility and reputation have stronger influences for male customers in building trust, while security and customization have more salient effects on trust for female customers.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(2013) · Cited by 44,563
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · An Integrated Approach to Communication Theory and Research · doi:10.4324/9780203710753-35 · Cited by 37,322
Preacher, K. J., & Hayes, A. F. (2008) · Behavior Research Methods · doi:10.3758/brm.40.3.879 · Cited by 34,117
SPSS and SAS procedures for estimating indirect effects in simple mediation models
Preacher, K. J., & Hayes, A. F. (2004) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03206553 · Cited by 17,383
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012) · MIS Quarterly · doi:10.2307/41410412 · Cited by 15,756
Valente, T. W. (2003) · Genetics in Medicine · doi:10.1097/01.gim.0000061743.67794.c4 · Cited by 13,723
An integrative model of organizational trust
Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995) · The Academy of Management Review · doi:10.2307/258792 · Cited by 10,736
Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium
Hayes, A. F. (2009) · Communication Monographs · doi:10.1080/03637750903310360 · Cited by 9,757
(1932) · Medical Entomology and Zoology · Cited by 9,568
Understanding Information Systems Continuance: An Expectation-Confirmation Model1
Bhattacherjee, A. (2001) · MIS Quarterly · doi:10.2307/3250921 · Cited by 8,767
Cited by
Point of adoption and beyond. Initial trust and mobile-payment continuation intention
Talwar, S., Dhir, A., Khalil, A., Mohan, G., & Islam, A. K. M. N. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102086 · Cited by 363
Lv, X., Zhang, R., Su, Y., & Yang, Y. (2022) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2022.2052227 · Cited by 180
Wang, C., Teo, T. S. H., & Janssen, M. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102401 · Cited by 161
Understanding the determinants of e-wallet continuance usage intention in Malaysia
Abdul-Halim, N.-A., Vafaei-Zadeh, A., Hanifah, H., Teoh, A. P., & Nawaser, K. (2022) · Quality & Quantity · doi:10.1007/s11135-021-01276-7 · Cited by 138
Sahi, A. M., Khalid, H., Abbas, A. F., & Khatib, S. F. A. (2021) · Journal of Open Innovation: Technology, Market, and Complexity · doi:10.3390/joitmc7040230 · Cited by 124
Metadata
- Authors
- Shao, Z., Zhang, L., Li, X., & Guo, Y.
- Venue
- Electronic Commerce Research and Applications
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 33
- Pages
- 100823
- ISSN
- 1567-4223 (ISSN-L)
- OpenAlex
- W2908146178
- Cited by
- 423
- References
- 86
- FWCI
- 43.65
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Antecedents of trust and continuance intention in mobile payment platforms: The moderating effect of gender. https://app.cochat.ai/papers/10.1016/j.elerap.2018.100823
- The paper
- Shao, Z., Zhang, L., Li, X., & Guo, Y. (2019). Antecedents of trust and continuance intention in mobile payment platforms: The moderating effect of gender. Electronic Commerce Research and Applications. https://doi.org/10.1016/j.elerap.2018.100823
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.