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Published on: February 14, 2014
Predicting Older Adults' Mobile Payment Adoption: An Extended TAM Model
Cheng-Chia Yang1, Shang-Yu Yang1, Yu-Chia Chang1,2
1Department of Healthcare Administration, Asia University, Taichung 41354, Taiwan.
Abstract:
This study adopted an advanced model, combining the technology acceptance model, the theory of reasoned action, the diffusion of innovations, trust, and five aspects of perceived risk, to measure the factors that influence the behavioral intentions of older adults to use mobile payments. A total of 365 questionnaires were collected from older adults aged 55 years or older from 20 community care sites in central Taiwan. Partial least-squares structural equation modeling was used to test our research model. The results showed that attitude was the main determinant of M-payment in older adults. Moreover, increasing the usefulness, ease of use, and observability of M-payment helped older adults improve their attitudes toward M-payment, thereby increasing their intention to use it. Trust had a significant effect on the usefulness and ease of use of M-payment, while the main factors affecting trust were only performance and financial risks.

