It’s Not You, It’s Me: The Joint Impact of Consumer Ethnocentrism & The Country-of-Origin Effect on Purchase Intention
Bibliographic record
Abstract
<p>Understanding consumer psychology has become more salient as the world becomes more connected due to globalization. Consumers have a plethora of choices regarding countries from all over the world and are subjugated to psychological phenomena such as Consumer Ethnocentrism and the Country-of-Origin Effect. This study will explore and measure the relationship between country-specific effects and consumer ethnocentrism, as well as, their impact on the likelihood of purchasing goods from the United States (U.S.), Canada, Mexico, Israel, China, and Saudi Arabia. On top of that, this study will explore how consumer demographics can influence the strength of effects. This study will first measure U.S. consumer attitudes and perceptions by conducting an original survey. Then by using the survey data, regressions are run using Statistical Package for the Social Sciences (SPSS) to predict a consumer&rsquo;s purchase intent and explore relationships between consumer ethnocentrism, country-specific quality perceptions, general attitudes, and consumer demographics. In the end, the study found that consumer ethnocentrism, country-specific effects, and consumer political affiliation all influence each other and have varying degrees of consideration in the decision-making process depending on the country. Overall, this study contributes to research concerning Consumer Ethnocentrism, the Country-of-Origin Effect, and the overall impacts of the globalized world. Creating a better understanding of psychological effects that affect the present-day consumer will help international marketers better target their consumers and will allow scholars of International Affairs to better comprehend how international relations and trade is shaped by consumer perceptions.</p>
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".