A Study on the Influence of Customer Characteristics on Innovation Resistance and Intention to Use in Face Recognition Payment System

Zhang, Linlin; Zhang, Yibo; Kim, Hakyun

doi:10.21742/jarr.2021.1.3.07

Cited by 3 publications

(6 citation statements)

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“…In the second stage, we adopted the ANN analysis method. Most previous researchers studying FRPS use single-stage data analysis, the primary emphasis of SEM (Liu et al , 2021; Zhang, 2021; Zhang et al , 2021). However, studies show that to overcome this deficiency, a SEM model (linear and compensatory) supplemented by a deep learning-based ANN model (nonlinear and noncompensatory) can produce more accurate predictions (Lee et al , 2016).…”

Section: Methodsmentioning

confidence: 99%

“…Until recently, studies have focused on resistance to facial recognition payment systems (FRPS) (Liu et al , 2021; Zhang, 2021; Zhang et al , 2021). In particular, Liu et al (2021) draw from the privacy perspective, showing that the perceived effectiveness of privacy policy has considerable associations with perceived privacy risk, privacy control and resistance to FRPS (Liu et al , 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

“…In particular, Liu et al (2021) draw from the privacy perspective, showing that the perceived effectiveness of privacy policy has considerable associations with perceived privacy risk, privacy control and resistance to FRPS (Liu et al , 2021). Zhang et al (2021) investigate customer characteristics and find that perceived risk and personal innovativeness can trigger innovation resistance to FRPS. Zhang (2021) examines FRPS characteristics and shows that providing a secure, convenient and reliable system can reduce innovation resistance to FRPS.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The mobility and immediacy of tailored information offered by FRMPS make them capable of not only satisfying the requirements and preferences of individual consumers but also facilitating transactions in personalized situations. Because previous research has focused on FRPS rather than FRMPS inhibitors (Liu et al , 2021; Zhang, 2021; Zhang et al , 2021), our investigation of FRMPS may provide a more thorough understanding of resistance.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Last, despite an increase in research on technology resistance, such as smart bank service resistance (Chouk and Mani, 2019; Lee, 2020), mobile wallet resistance (Leong et al , 2020c), mobile payment resistance among the elderly (Cham et al , 2021) and smart speaker resistance (Hong et al , 2020), a systematic understanding of why consumers resist FRMPS remains elusive. Although a few studies have recently examined factors in the resistance to facial recognition systems (Liu et al , 2021; Zhang, 2021; Zhang et al , 2021), a more comprehensive understanding of how consumers respond to FRMPS is necessary.…”

Section: Introductionmentioning

confidence: 99%

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Resistance of facial recognition payment service: a mixed method approach

Lee

Pan

2022

JSM

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Purpose Sellers view facial recognition mobile payment services (FRMPS) as a convenient and cost-saving way to receive immediate payments from customers. For consumers, however, these biometric identification technologies raise issues of usability as well as privacy, so FRMPS are not always preferable. This study uses the stressor–strain–outcome (S–S–O) framework to illuminate the underlying mechanism of FRMPS resistance, thereby addressing the paucity of research on users' negative attitudes toward FRMPS. Design/methodology/approach Drawing from the stressor–strain–outcome (S–S–O) framework, the purpose of this study is to illuminate the underlying mechanism of FRMPS resistance. To this end, they invited 566 password authentication users who had refused to use FRMPS to complete online survey questionnaires. Findings The findings enrich the understanding of FRMPS resistance and show that stressors (i.e. system feature overload, information overload, technological uncertainty, privacy concern and perceived risk) aggravate the strain (i.e. technostress), which then leads to users’ resistance behaviors and negative word of mouth. Originality/value Advances in payment methods have profoundly changed consumers’ consumption and payment habits. Understanding FRMPS resistance can provide marketers with strategies for dealing with this negative impact. This study theoretically confirms the S–S–O paradigm in the FRMPS setting and advances it by proposing thorough explanations of the major stressors that consumers face. Building on their findings, the authors suggest ways service providers can eliminate the stressors, thereby reducing consumers’ fear and preventing resistance or negative word-of-mouth behaviors. This study has valuable implications for both scholars and practitioners.

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Section: Methodsmentioning

confidence: 99%