Use of E-Banking and Customer E-Engagement in Developing Countries: Case of NFC Bank Cameroon
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Technology-based banking has become essential in developing countries. In these countries, the financial inclusion of populations and the development of banks’ portfolios depend intensely on valuable services like E-banking. This study aims to investigate the influence of some technological features of electronic financial services (Perceived personal information protection, Perceived transaction security) and service factors (Perceived time saving, Service quality, and Perceived cost-saving) on Trust and Use of e-banking. It also studies the impact of Use of E-banking on E-engagement through Usage continuance and Customer satisfaction. We use partial least squares structural equation modeling (PLS-SEM) to test a research model with a sample of 346 customers of NFC Bank in Cameroon. The study reveals that Perceived personal information protection and the service factors (Perceived time saving, Service quality, and Perceived cost-saving) influence Trust. However, Trust in E-banking does not necessarily lead to its use. On the other hand, Use of E-banking influenced by both technological features of electronic financial services (Perceived personal information protection, Perceived transaction security) and service factors (Perceived time saving, Service quality, and Perceived cost saving). The study brings managerial implications for the development of E-banking offers in developing countries.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it