Mobile Banking Adoption among the Ghanaian Youth
Bibliographic Data
| ID | 21737646 |
|---|---|
| Authors | Godfred Matthew Yaw Owusu (0000-0003-3495-434X, University of Ghana, corresponding author), Rita Amoah Bekoe (0000-0002-8363-5348, University of Ghana), Annice Amoasa Addo-Yobo (University of Ghana), James Otieku (University of Ghana) |
| Year | 2021 |
| Volume | 22 |
| Issue | 3 |
| Pages | 339-360 |
| Publication date | 2021-07-03 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of African Business (JOURNAL) |
| Journal identifiers | ISSN: 1522-8916 • E-ISSN: 1522-9076 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/15228916.2020.1753003 |
| OpenAlex | W3017550934 |
| Language | EN |
| Citations received | 4 |
| References cited | 62 |
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
Business · Economics · Management · Mobile banking · Mobile service · Statistics · Structural equation modeling · Technology Acceptance Model · Theory of planned behavior · Usability · Computer Science · Digital Marketing and Social Media · Innovation Diffusion and Forecasting · Mathematics · Psychology · Technology Adoption and User Behaviour · Marketing
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| Unique citing works | 4 |
|---|---|
| Citations per year | 1 |
| Citation span | 2022 - 2022 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |