Consumer Value and Lifestyle as a Predictor of Herbal Medicine Purchase Intention in Surakarta-Indonesia
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 aims to examine the influence of consumer values and lifestyles partially or simultaneously to the purchase intention of herbal medicine in Surakarta-Indonesia. The type of this research is survey research. This study uses primary data collected using questionnaires. The population in this study were consumers who consumed various types of herbal medicine in Surakarta-Indonesia. The sampling technique used was purposive, respondents who already had experience in herbal medicine and had the goal of consuming herbs for personal gain. Techniques of data analysis in this study are to use multiple linear regression analysis. Based on data analysis, it can be concluded that consumer and lifestyle values partially or simultaneously have a significant effect on the intention of herbal medicine purchase in Surakarta-Indonesia. This means the higher the consumer value and lifestyle orientation of the consumer the higher the intention of the purchase of herbal medicine in Surakarta-Indonesia, on the contrary, the lower the consumer value and lifestyle of the consumer the lower the intention of the purchase of herbal medicine in Surakarta-Indonesia.
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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 | 0.007 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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