A Qualitative Study of the Problems and Prospects of OnlineBanking in Developing Economies â Case of Nigeria
Bibliographic record
Abstract
The dawn of the new millennium brought with it a plethora of activities that has impacted strongly on the academic field especially consumers’ adoption of new technologies. This has continued to generate a great deal of interest in the academic arena and the business sector is not an exception. Researchers in these fields have been and are still formulating and extending various theories for online context. In an attempt to advance knowledge in these areas as well as build a concrete foundation which can serve as a spring board, various published literatures have been reviewed in different countries and at various times. The purpose of this paper is to qualitatively explore the problems and prospects of online banking in developing economies with Nigeria as a case study. The analysis of the data gathered produced various reasons for the non adoption of internet banking services in Nigeria. The findings provide a basis for financial managers to understand the reasons for non-adoption on this innovative services as well as paves ways to enhance the creation of awareness and promotion.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".