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Positive and negative valences, personal innovativeness and intention to use facial recognition for payments

Md. Abu Saeed Palash (School of Management, Huazhong University of Science and Technology, Wuhan, China)
Md. Shamim Talukder (Department of Management, School of Business and Economics, North South University, Dhaka, Bangladesh)
A.K.M. Najmul Islam (LUT School of Engineering Science, LUT University, Lappeenranta, Finland)
Yukun Bao (Center for Modern Information Management, School of Management, Huazhong University of Science and Technology, Wuhan, China)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 1 April 2022

Issue publication date: 12 April 2022

2127

Abstract

Purpose

Facial recognition payment (FRP) has been attracting attention as an alternative payment mode. This research aims to investigate the future use of FRP for both mobile payment and point of sale payment.

Design/methodology/approach

The body of information on this topic is promoted by proposing the valence framework, where the authors used relative advantage, initial trust, perceived playfulness and need for uniqueness as positive valence, and perceived risk, technophobia and perceived complexity as negative valence. This study also investigated the moderating effect of personal innovativeness on consumers' behavioral intention to use FRP-based payments. The authors collected data from 392 FRP users from China to test the model. The authors used structural equation modeling (SEM) to evaluate the significant determinants influencing FRP use.

Findings

The authors found that relative advantage and privacy risk are the two most influential predictors of FRP use. The findings indicate that personal innovativeness acts as a moderator between negative valence and behavioral intention. This study provides valuable policy guidelines for the mobile or point of sale (POS) payment companies for adding FRP service into their default payment method.

Originality/value

FRP is a relatively new technology that has not received much research attention in information system (IS) literature. Most studies on payment investigated enablers, and less effort has been given to study both enablers and inhibitors together. Furthermore, the authors employed SEM-based analysis to identify the most important factors influencing consumers' future use decisions.

Keywords

Acknowledgements

This study was supported by the National Natural Science Foundation of China (Project No. 71810107003).

Citation

Palash, M.A.S., Talukder, M.S., Islam, A.K.M.N. and Bao, Y. (2022), "Positive and negative valences, personal innovativeness and intention to use facial recognition for payments", Industrial Management & Data Systems, Vol. 122 No. 4, pp. 1081-1108. https://doi.org/10.1108/IMDS-04-2021-0230

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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