Perceived Risk on Online Store Image Towards Purchase Intention
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
The main aim of this study is to identify purchase intention among Malaysian online consumer towards online store. A recent data provided by MCMC indicate that only 9.3 percent of Internet users in Malaysia admitted doing online purchasing despite huge number reflects Malaysian is heavy Internet users. This is due to the factors that the consumers are feared towards risk they may get during shopping online and this can affect their purchase intention activities. The finding identified that privacy risk and delivery risk are significant to purchase intention among online consumers in Malaysia. Meanwhile, financial risk, product performance risk, time risk, psychological risk, social risk and after-sale risk are not significant to purchase intention. This indicated that Malaysian online consumers tend to care their personal information has been misused by third parties within their permission in order to prevent privacy risk in online shopping activities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 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) | 0.006 | 0.009 |
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