Wearable payment: A deep learning-based dual-stage SEM-ANN analysis

作者：

Highlights：

• The study highlights the antecedents influencing wearable payment usage intention.

• A dual-stage SEM-ANN analysis with deep learning was proposed.

• Applicability of perceived aesthetics and technology readiness on wearable payments.

• Effectiveness of Mobile Technology Acceptance Model on wearable payments.

摘要

•The study highlights the antecedents influencing wearable payment usage intention.•A dual-stage SEM-ANN analysis with deep learning was proposed.•Applicability of perceived aesthetics and technology readiness on wearable payments.•Effectiveness of Mobile Technology Acceptance Model on wearable payments.

论文关键词：Mobile payment,Smart wearable devices,Deep learning,Fashion Theory,Technology Readiness Theory

论文评审过程：Received 25 July 2019, Revised 5 March 2020, Accepted 21 April 2020, Available online 24 April 2020, Version of Record 7 May 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113477