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Cited by 390

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

Understanding perceived risks in mobile payment acceptance

Yang, Yongqing, Liu, Yong, Li, Hongxiu, Yu, Benhai·2015·Industrial Management & Data Systems

Abstract

Purpose: – The purpose of this paper is to examine and quantify how various uncertainties result in different perceived risk dimensions that hinder mobile payment (m-payment) acceptance. Design/methodology/approach: – An uncertainty-risk-value framework was proposed based on perceived risk theory, prospect theory, and perceived value theory. Structural equation modeling method was used to test the research model. Findings: – Perceived information asymmetry, perceived technology uncertainty, perceived regulatory uncertainty, and perceived service intangibility are confirmed as the main determinants of perceived risk, while perceived performance risk, perceived financial risk, and perceived privacy risk were found to have strong negative effects on perceived value and acceptance intention. Practical implications: – The findings may help businesses and policy makers better understand the sources of perceived risk and help support the development of appropriate strategies to mitigate the risk concerns consumers have regarding m-payment. Originality/value: – Although the hindering effects of perceived risk regarding m-payment acceptance have been confirmed in previous studies, the sources of perceived risk were rarely investigated. By examining the determinants of perceived risk in m-payment acceptance, this paper offers insights into how consumers perceive risks when adopting new innovations. Additionally, it bridges the gap between the antecedents and consequences of perceived risk.

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Crossref · 10.1108/imds-08-2014-0243

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Metadata

Authors
Yang, Y., Liu, Y., Li, H., & Yu, B.
Venue
Industrial Management & Data Systems
Publisher
Emerald
Published
2015-03-09
Volume
115
Issue
2
Pages
253-269
ISSN
0263-5577 (ISSN-L)
OpenAlex
W1999806522
Cited by
390
References
39
FWCI
34.09
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Understanding perceived risks in mobile payment acceptance. https://app.cochat.ai/papers/10.1108/imds-08-2014-0243
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Yang, Y., Liu, Y., Li, H., & Yu, B. (2015). Understanding perceived risks in mobile payment acceptance. Industrial Management & Data Systems. https://doi.org/10.1108/imds-08-2014-0243

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