The Influence of Shoppe on Consumer Behavior: A Case Study in Malaysia
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
‘9 out of 10 online’ indicates that Malaysia’s e-commerce industry has risen steadily throughout Southeast Asia. The increase in the number of Shopee apps in the second quarter of 2021, marks Shopee as a leading Malaysian e-commerce market. Shopee provides a good value, the best quality, convenience and security when consumers experience the app. This paper aims to look into factors that influence consumers' behaviours towards online shopping using the Shopee app. This paper also assesses customer satisfaction regarding the service that had been provided. A total of 100 respondents of Shopee users participated in the online survey via Google Form. From the analysis, the results depict the necessity of quality products, reliability, convenience and product price as good indicators of customer satisfaction that may lead to behavioural intention. These findings provide new insight into consumer behaviour towards Shopee.
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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 | 0.005 | 0.001 |
| 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 | 0.001 |
| 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 it