Web site Usability Evaluation of Internet Banking in Taiwan
Bibliographic record
Abstract
With the proliferation of the Internet, banks are adopting technologies to build their own Web sites. The design of the Web site is a crucial determinant of whether visitors are likely to return to the site. Thus, the purpose of this study is to investigate the usability of Internet banking Web sites in Taiwan. The samples were classified into 3 groups: the old government-owned banks, the old private banks and the new private banks. The result indicates that there is a gap between user expectation and actual performance of Internet banking Web sites. Although o³¦o³¦contento³¦o³¦ and o³¦o³¦ease of useo³¦o³¦ are the most two important categories for Web site users, banks are devoted to promote themselves to entice customers to visit. Overall, the old private banks performed the best among 3 groups of banks, followed by old government-owned banks and new private banks. Conclusions and discussions are provided.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".