Predicting the intention to adopt wearable payment devices in china: the use of hybrid sem-neural network approach

HIGHLIGHTS

• who: Li Luyao and collaborators from the UCSI Graduate Business School, UCSI, Kuala Lumpur, Malaysia, UKM, Graduate School of have published the article: Predicting the intention to adopt wearable payment devices in China: The use of hybrid SEM-Neural network approach, in the Journal: PLOS ONE
• what: Identifying research gaps in wearable payment device adoption behaviour, this study investigates factors impacting WPD adoption in China. To explore the factors of the intention to use contactless payments, previous studies focused on behavioural intention models and theories such as the Technology Acceptance Model (TAM) , Diffusion of Innovation . . .
  

   

  

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