Hybridizing an Extended Technology Readiness Index with Technology Acceptance Model (TAM) to Predict E-Payment Adoption in Ghana

Patrick Acheampong, Li Zhiwen, Henry Asante Antwi, Anthony Akai Acheampong Otoo, William Gyasi Mensah, Patrick Boateng Sarpong


At the heart of electronic commerce is the ability of a customer to be able to pay for goods and services unrestricted by location. Electronic payment system offers customers the convenience and flexibility to digitally pay online. Our study extended the technology readiness index and evaluated its influence on the technology acceptance model to predict user acceptance and use of e-payment technology. An online version of a questionnaire was administered to the population aged 1500 users of e-banking and mobile money users in six cities in Ghana (Accra, Tema, Kumasi, Cape Coast, Sekondi-Takoradi and Tamale) on the social media. A printed version of the questionnaire was self administered to other respondents largely, users of mobile transfer services in Ghana who did not have access to reliable internet services or computer. The post-data integrity results was analysed using a robust version of feed forward Radial basis function neural network. We observed a non-inflated overall incorrect prediction score between below 25% in both cases. It decomposed into a positive and significant relationship between personal innovativeness, personal optimism, high perceived convenience and perceived usefulness and perceived ease of use which positively influences e-payment adoption. The case of personal insecurity and personal discomfort returned negative effects and are consistent with the extant literature.

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