Facial Payment Use in China: An Integrated View of Privacy Concerns and Perceived Benefits
2020
- 573Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage573
- Abstract Views471
- Downloads102
Article Description
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.
Bibliographic Details
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