Effect of Digitisation of School Fee Payment on School Fee Processing Time—A Comparative Study of Traditional and Digital Payment Systems
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
This study examines the factors influencing the efficiency of digital payment systems, focusing on payment methods, user continuity, and ease of navigation. Through logistic regression analysis, the research identifies significant associations between these factors and users’ perceptions of time efficiency. Key findings include the negative impact of certain payment methods on perceived efficiency, the delicate balance of factors influencing user continuity, and the positive influence of ease of navigation on time efficiency. The study underscores the importance of user-centric design and suggests recommendations for improving digital payment systems, such as user education, continuous system navigation improvement, and incentives for user continuity. Furthermore, it proposes avenues for future research, including cross-cultural analysis and longitudinal studies, to enhance our understanding of the evolving landscape of digital payments. By offering actionable insights for stakeholders, this research contributes to optimising digital payment systems, aligning with user expectations, and fostering enduring engagement in the digital finance ecosystem.
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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