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Mobile Banking Adoption among the Ghanaian Youth

Author

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  • Godfred Matthew Yaw Owusu
  • Rita Amoah Bekoe
  • Annice Amoasa Addo-Yobo
  • James Otieku

Abstract

This paper examines the behavioral intentions of Ghanaian youth toward mobile banking as a service delivery channel. Relying on the Technology Acceptance Model (TAM) and Innovation Diffusion Theory (IDT), the study further investigates the factors that influence the intention of individuals to adopt mobile banking. A questionnaire-based survey was conducted on business students from a large public university in Ghana and a total of 517 valid responses from the respondents were used in the empirical analysis. The hypothesized relationships were analyzed using the Structural Equation Modeling technique. Results of this study demonstrate that perceived ease of use, perceived usefulness, relative advantage, and complexity are the key predictors of intentions to adopt mobile banking technology in Ghana. Moreover, the results demonstrate that complexity has a positive influence on perceived ease of use while relative advantage was also found to impact positively on perceived usefulness. Taken together, these results confirm the applicability of the TAM and IDT models in predicting technology adoption in different contexts.

Suggested Citation

  • Godfred Matthew Yaw Owusu & Rita Amoah Bekoe & Annice Amoasa Addo-Yobo & James Otieku, 2021. "Mobile Banking Adoption among the Ghanaian Youth," Journal of African Business, Taylor & Francis Journals, vol. 22(3), pages 339-360, July.
    • Handle: RePEc:taf:wjabxx:v:22:y:2021:i:3:p:339-360
    DOI: 10.1080/15228916.2020.1753003
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    Cited by:

    1. Ashraf Hilal & Concepción Varela-Neira, 2022. "Understanding Consumer Adoption of Mobile Banking: Extending the UTAUT2 Model with Proactive Personality," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
    2. Kajol, K. & Singh, Ranjit & Paul, Justin, 2022. "Adoption of digital financial transactions: A review of literature and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 184(C).

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