Comparing advertising effectiveness in South-American and North-American contexts: testing Hofstede's and Inglehart's cultural dimensions in the higher education sector
Bibliographic record
Abstract
This research compares the effectiveness of advertising and relational marketing in two countries characterized by varying levels of both Hofstede's and Inglehart's cultural dimensions – Peru (high-power distance, high collectivism, survival and traditional values) and Canada (low-power distance, high individualism, self-expression and secular-rational values). Survey data from a high credence service sector (higher education) in both countries is used for the analysis. The results indicate that advertising and relational marketing have direct effects on choice in Peru, but do not have significant direct effects on choice in Canada. Advertising does, however, affect positively perceptual outcome measures (perceived marketing effectiveness) in Canada. Additionally, we find that advertising and relational marketing have an indirect impact on choice and perceived marketing effectiveness through the mediation of perceived informativeness and influencers in both countries. These results point to the need to account for mechanisms and mediating variables when building theoretical frameworks in cross-country studies.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".