Unravelling the path to retail CBDC adoption in India: insights from the technology acceptance model

Parveen Kumar et al.

International Journal of Electronic Banking2024https://doi.org/10.1504/ijebank.2025.143045article
ABDC C
Weight
0.39

What the paper says

The present research aims to identify the determinants for users' behavioural adoption of retail central bank digital currency in India. The study used the variables perceived usefulness and behavioural intention adopted from the technology acceptance model (TAM), and social influence from the unified theory of acceptance and use of technology (UTAUT), along with perceived risk and knowledge. A quantitative and exploratory approach was adopted utilising a structured online survey questionnaire. Data was collected from 265 respondents and analysed using AMOS 21 for confirmatory factor analysis and structural equation modelling. The study found a significant impact of the social influence of digital currency adoption on the perceived usefulness and knowledge of users. Moreover, knowledge and perceived risk were found to have a significant impact on perceived usefulness, with a direct influence of perceived usefulness observed on the behavioural intention of users to adopt CBDC. The model explains 44.5% of the variance in perceived usefulness and 58.1% of the behavioural intention. These findings offer an opportunity to better understand central bank digital currency.

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https://doi.org/https://doi.org/10.1504/ijebank.2025.143045

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@article{parveen2024,
  title        = {{Unravelling the path to retail CBDC adoption in India: insights from the technology acceptance model}},
  author       = {Parveen Kumar et al.},
  journal      = {International Journal of Electronic Banking},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.1504/ijebank.2025.143045},
}

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Evidence weight

0.39

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.23 × 0.4 = 0.09
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.