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

Abstract

The combination of big data and various technologies has caused tremendous changes in the financial industry. Face recognition payment as a new payment method has attracted much attention. China's investment in face recognition technology reached its peak in 2017-2018, and after 2019, it has entered a period of rational development. The reasons include the higher cost caused by higher technical and software and hardware requirements. This paper aims to study the influence of customer characteristics on innovation resistance and to explore the influence of innovation resistance on intention to use, which will help face recognition payment technology and products to better meet the needs of users. This paper chooses the attitude towards existing products, motivation, self-efficacy, innovation, and perceived risk customer characteristics. 123 Chinese users were surveyed by questionnaires, and the collected data were analyzed through Smart PLS 2.0. In the hypothesis about the innovation resistance of customer characteristics to face recognition payment, hypotheses 1-4 that customer innovation has a negative impact on innovation resistance has not been adopted. In addition, all assumptions have been adopted. In other words, customers' attitudes towards previous products and their perceived risks have a positive impact on innovation resistance, while customers' motivation and self-efficacy have a negative impact on innovation resistance. And research shows that customer resistance to innovation will have a negative impact on usage intentions.