Beyond borders: how national culture and consumer ethnocentrism shape purchase intentions in Latin America
Bibliographic record
Abstract
This study examines the impact of cultural dimensions and consumer ethnocentrism on purchase intentions toward domestic brands in Latin America – a region characterized by high levels of migration and cultural hybridity. Grounded in Hofstede’s cultural framework and the Theory of Planned Behavior, data from 535 respondents across six countries were analyzed using structural equation modeling. Results show that consumer ethnocentrism is a strong and consistent predictor of purchase intention, while Hofstede’s dimensions did not have significant direct effects. These findings highlight the importance of contextualizing cultural values within dynamic social environments and underscore the role of attitudinal factors, such as perceived behavioral control, in shaping consumer behavior. The study offers a more comprehensive understanding of how macro-level culture and micro-level psychology intersect in shaping consumer behavior. Practical implications include designing segmentation strategies and marketing messages that resonate with local identities and generational traits across diverse Latin American markets.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".