2023
DOI: 10.1016/j.tele.2023.101951
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Should I scan my face? The influence of perceived value and trust on Chinese users’ intention to use facial recognition payment

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Cited by 31 publications
(4 citation statements)
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“…Third, the results of this research also show that perceived value has a positive and significant influence on consumer trust. This is in line with research conducted by Moriuchi & Takahashi [7], Hu, et al, [26], Yuen, et al [27], Ponte, et al, [28], Roh, et al, [29], and Chae, et al [30], which proves that the higher the perceived value, the higher the possibility of forming trust from users.…”
Section: The Influence Of Perceived Values On Consumer Trustsupporting
confidence: 90%
See 1 more Smart Citation
“…Third, the results of this research also show that perceived value has a positive and significant influence on consumer trust. This is in line with research conducted by Moriuchi & Takahashi [7], Hu, et al, [26], Yuen, et al [27], Ponte, et al, [28], Roh, et al, [29], and Chae, et al [30], which proves that the higher the perceived value, the higher the possibility of forming trust from users.…”
Section: The Influence Of Perceived Values On Consumer Trustsupporting
confidence: 90%
“…Trust can be formed from several sets of values including economic, functional, emotional, social where these values are forms of perceived value [7,[26][27][28][29][30], so that the research hypothesis below can be determined:…”
Section: H2: Perceived Value Has a Positive Influence On Intention To...mentioning
confidence: 99%
“…E.g., Amazon rewards consumers that share receipts of purchases outside Amazon; Alibaba and WeChat provide widely used means of payment in China; and Meta has explored digital currency issuance (Libra and Diem).2 See, e.g, Agarwal and Assenova (2022), Allen et al (2021), Babina et al (2022), Beck et al (2022), Berg et al (2020), Dalton et al (2023), Frost et al (2020), Ghosh et al (2022), Hau et al (2019), Huang et al (2020), and Ouyang (2022).3 Although the value of digital privacy in general is empirically debated(Acquisti et al, 2016;Athey et al, 2017;Bian et al, 2022;Chen et al, 2021;Goldfarb and Que, 2023;Tang, 2023), for payments and lending specifically, most studies find an important role for privacy. See, e.g.,Bijlsma et al (2022Bijlsma et al ( , 2023,Borgonovo et al (2021), ECB (2021),Engels et al (2022), Hu et al (2023), and Li (2023 on privacy and payment choice; and Tang (2023) andDoerr et al (2023) on borrowers' willingness to pay to limit the intrusiveness of data disclosure in loan applications.4 Studies reporting extensive heterogeneity in privacy preferences includeBian et al (2022),Collis et al (2022),Goldfarb and Tucker (2012),Lin (2022),Lin and Strulov-Shlain (2023),Prince and Wallsten (2022) andŠkrinjarić et al (2022).5 Our analysis does not hinge on cash being the alternative or payments being the only source of credit quality data. As shown in Appendix B.1, the key assumption is that the issuer's means of payment reveals more credit quality information, not that it is the unique source of such information.…”
mentioning
confidence: 90%
“…Future studies could consider constructing composite indicators and regressing the relationships between variables at each level through multiple regressions to minimize the impact of omitted variable bias. It is also hoped that future authors will extend the model by adopting other theories [102,103] or constructs [104,105].…”
Section: Limitations and Prospectsmentioning
confidence: 99%