E-Business Strategy in an Online Banking Services: A Case Study
Bibliographic record
Abstract
Banks today are aware of both the threat and the opportunity that the Web represents. No traditional bank would dare face investment analysts without an Internet strategy. But even a detailed and thoughtful approach to the Web does not guarantee business success. The main purpose behind the launching of online banking services is to provide the customers with an alternative, more responsive and with less expensive options. With options just a click away, customers have more control than ever. They expect real-time answers and superior usability. They also want personal attention and highly customized products and services. The focus of e-business must always be on the customer. On the other hand, the technology and the business structure follow on form of the value you intend to provide to the customer. This paper evaluates the success of the e-business model and e-business strategy implemented by Citibank in the United Arab Emirates in offering its retail Internet Banking Service; Citibank Online.
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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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".