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Cited by 423

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

Shao, Zhen, Zhang, Lin, Li, Xiaotong, Guo, Yue·2019·Electronic Commerce Research and Applications

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.

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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

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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
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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

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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.