Product‐country fit in the Canadian context
Bibliographic record
Abstract
Purpose This paper aims to show that the congruency between the source of a product being evaluated and the commonly held perceptions of that product's association with a country of origin (COO) leads to a more positive evaluation of that product. Design/methodology/approach This is an experimental study using two congruent product stimulus categories and two non‐congruent product categories, each associated with a Danish and a non‐Danish sounding brand name to elicit evaluation of product profiles from a sample of 187 young consumers. Findings Among all the variables included in the analysis of variance (ANOVA) tables, product‐country congruency performed the best. The second strongest main effect is attributed to familiarity with Danish products. The brand‐country congruence variable related only indirectly to the evaluation of products from Denmark through an interaction with product‐country congruence. Research limitations/implications Future research should seek to build data sets from a larger number of adult consumers from several countries with more product and brand stimuli associated with multiple countries. Practical implications Consumers who are familiar with products made in Denmark should be the prime target market for products congruent with Denmark. Because of their strong association with Denmark, these products may benefit from their association with country of design (COD) Denmark in promotional programs. Originality/value Using cognitive‐consistency theory, this paper extends the previous literature on the perceptions of product‐country‐fit by including the effects of brand‐country fit, technological complexity, three dimensional conception of COO, and two separate product evaluation measures, using product‐country familiarity, product involvement and product experience as moderators.
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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 | 0.003 | 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) | 0.001 | 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 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".