Roles of Regulation and Lifestyle on Indonesian Coffee Consumption Behavior Across Generations
Bibliographic record
Abstract
Coffee beverage consumption has become more important in the recent years and has touched the lifestyles of the old and young people. The research of coffee consumption, especially in relation to the lifestyles of the people, therefore needs to be intensified. The purpose of this study was to compare the contribution of regulation and lifestyle in determining coffee drink consumption among old and young consumers. The theory adopted was the SOR (stimulus-organism-response) theory and the AISAS (attention-interest-search-action-share) model approach. Data were collected online in April-May 2020, and obtained 413 valid respondent data, which consist of 207 old respondents and 206 young respondents. The results showed that the lifestyle variable had positive effects on attitude and search behavior of both young and old generations. The lifestyle variable also had significant effects on coffee consumption for both generations. The regulation variable had positive effects on attitude and action of young coffee consumers, but it had no effect on attitude, search and action of old consumers. The research suggests that, to increase coffee consumption, better regulation approach should consider the age of the consumer. Especially, more attention should be paid for the regulation on coffee marketing for older generation.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".