The effect of decision to purchase on shop fashion product in Indonesia mediated by attitude to shop
Bibliographic record
Abstract
This research examines the relationship between consumer attitudes and decisions. By examining the attitude forming variables, among others, usefulness, ease of use and risk which directly influence attitudes and the direct influence of consumer attitudes on consumer decisions. The population in this study is a large number of consumers and the amount is not known with certainty, the researchers, for the sample using a random sampling method which is part of the non-probability sampling technique with the criteria of respondents who have shopped in offline retail and online retail, over 17 years old and domiciled in Jakarta. Samples taken amounted to 160 with 32 questions for each respondent. The results show that usefulness and ease of use affect consumer attitudes. While ease of use is the most powerful variable and has the biggest contribution that influences attitude. In this research hypothesis there is one hypothesis that is rejected, namely the effect of risk on attitude attitudes, the results of the study found that risk has no effect on attitude.
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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 | 0.000 | 0.002 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".