Decision of Purchase Based on Life Style and Brand Image through Interest in Buying Personal Care Products in PT Easton Klaeris Indonesia Branch of Padang
Bibliographic record
Abstract
This study aims to explain the effect of life style and brand image on purchasing decisions for personal care products. The analytical method uses descriptive and quantitative approaches in which data collection uses questionnaires. This questionnaire was delivered to respondents by interview. The sample size is 100 respondents. The results showed that life style simultaneously had no effect on purchasing decisions, brand image simultaneously had a positive and significant effect on purchasing decisions, buying interest influenced life style in a persial manner and had a significant effect. Brand image influenced buying interest in a persial manner and had a significant effect. Purchasing interest has a positive and significant influence on purchasing decisions, the influence of intervening buying interest on life style variables shows no significant effect and buying interest on brand image variables shows a higher influence. Thus it is recommended that marketers use brand image to build purchasing decisions and buying interest as a support for building customer mind shares.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".