Usability of digital wallets and e-commerce growth: Evidence from poultry shops in Huancayo, Peru
Bibliographic record
Abstract
This study explores how the usability of digital wallets affects the growth of e-commerce in poultry shops in the Huancayo district of Peru. The general hypothesis states that the usability of digital wallets significantly impacts the growth of e-commerce in this sector. The methodology used combines the general scientific method with the specific hypothetical-deductive method. A non-experimental and cross-sectional design is used. The research is explanatory in nature, seeking to establish causal relationships between variables. To collect data, a survey was conducted on a probability sample of 385 customers in 112 poultry shops in Huancayo that use digital wallets. The sampling technique was simple random, and data were collected using an attitude scale designed to measure user attitudes and opinions. Results: The usability of digital wallets positively impacts e-commerce, with a correlation coefficient of 0.76 (p < 0.01), indicating a strong and significant relationship. The effectiveness of digital wallets in e-commerce growth is evidenced by a regression coefficient of 0.68 (p < 0.01), suggesting a significant effect on online sales. The efficiency of digital wallets shows a coefficient of 0.62 (p < 0.05), indicating a notable improvement in transaction time and payment accuracy. Customer satisfaction with digital wallets has a coefficient of 0.74 (p < 0.01), reflecting an overall positive experience with these payment tools.
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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 | 0.001 |
| 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 | 0.001 | 0.014 |
| Open science | 0.001 | 0.001 |
| 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".