Facial Payment Use in China: An Integrated View of Privacy Concerns and Perceived Benefits
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Professional
Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2020 Pacific Asia Conference on Information Systems (PACIS) |
| Publisher | Association for Information Systems |
| ISBN (Electronic) | 978-1-7336325-3-9 |
| Publication status | Published - 2020 |
| Publication type | D3 Professional conference proceedings |
| Event | Pacific Asia Conference on Information Systems - Dubai, United Arab Emirates Duration: 20 Jun 2020 → 24 Jun 2020 |
Conference
| Conference | Pacific Asia Conference on Information Systems |
|---|---|
| Country | United Arab Emirates |
| City | Dubai |
| Period | 20/06/20 → 24/06/20 |
Abstract
This paper presents a study design intended to investigate the privacy concerns and benefits related to the adoption of facial payment technology from a privacy calculus perspective. In the proposed research model, relative advantages, including convenience, availability, and security, are considered as perceived benefits in facial payment adoption and assumed to exert a positive influence on the adoption of facial payment. The privacy concern, involving threat appraisal (perceived severity and vulnerability) and coping appraisals (response efficacy and self-efficacy), are articulated as perceived risks. Threat appraisals negatively affect people's intention to use facial payment technology, whereas coping appraisals positively influence their usage. Based on privacy calculus framework, the benefit-risk analysis shapes people's adoption behavior of facial payment technology. In addition, personal innovativeness is set as moderators in the proposed model. This research might contribute to literature on privacy concerns and facial payment technology use, and offer practical implications for facial payment providers.
ASJC Scopus subject areas
Keywords
- Benefits, Facial payment, Privacy calculus, Privacy concerns, Protection motivation theory, Risks