Differences in Value Orientations of Coca Cola Drinkers and House Cola Drinkers: A Cross-National Investigation
Bibliographic record
Abstract
ABSTRACT Based on the overall research question, “Is there a cross-national Coca Cola and/or Hakon classic segment?” this empirical study examined differences in the personal value orientations of Coca Cola drinkers and House Cola brand drinkers across two Scandinavian cultures. In a field study, female subjects aged 18 to 29 years from Oslo and Gothenburg reported their personal values, purchasing behavior, and value and attribute associations with the two cola brands. Further, this quantitative study revealed that segmentation by values may be used to understand differences and similarities among soft drink segments across cultures, and why Coca Cola drinkers are different from consumers who favor house brands. This study provides further insight into cross-national segmentation in terms of concrete personal values that could be used by brand owners and retailers in planning brand communications for cross-national segments. Implications are drawn for cross-cultural marketing strategies and for future research.
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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 | 0.001 |
| 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 | 0.001 |
| 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 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".