A Framework for e-Commerce Implementation: Nigeria a Case Study
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
The advent of the Internet has transformed the business environment in no small measure and has influenced the ways and manner businesses are transacted. This platform has brought about enhanced electronic and mobile business transactions. However, the advent of e-Commerce, m-Commerce or i-Commerce has placed a premium on the participating organisations or nations in terms of provision of the basic infrastructure for a secure, seamless and trusted business environment through the electronic media. This paper presents an exploratory study of the prospects of e-Commerce implementation and the factors inhibiting its growth. A set of questionnaire was designed, administered and analysed based on political, economic, social and technological (PEST) analysis. The PEST analysis is to help review the current practices with a view to developing a framework for Nigeria and other developing nations in Africa. Findings revealed that the Automatic Teller Machine (ATM) is the most widely used medium of e-Payment in Nigeria, which is not very suitable for e-Commerce implementation. Similarly, the Internet penetration is still abysmally low and is one of the major threats to e-Commerce implementation. However, the nascent democracy enjoyed in Nigeria is faced with some teething problems, but it promised with time, relative political stability, direct foreign investment, improved economical atmosphere, improved social services and technological development more than ever witnessed in the country. Therefore, a viable framework for Nigeria and Africa would be such that involves the private and public partnership (PPP). This consortium is expected to provide the platform for access to the Internet and popularize the use of e-Payment among other things.
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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 | 0.000 | 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 it