A Conceptual Study on the Country of Origin Effect on Consumer Purchase Intention
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Country of origin has become a significant phenomenon in consumer behaviour studies. Hence, increasing the knowledge of customers about products makes research about factors that influence their decisions more worthwhile than before. The purpose of this paper is to review the country of origin literature and mention different variables that influence consumer purchase intention, and also highlight the relationship of variables and customer purchase intention based on the previous literature. This research is valuable for promoting the consumer behaviour literature and providing support for relationships between the variables and purchase intention. In addition, it also helps marketers who work on related topics according to the country of origin perspective. The existing literature shows that all of the variables mentioned in this paper have a relationship with customer purchase intention from the country of origin point of view. However, there are many factors for which it has not been determined whether they influence consumer purchase intention related to the country of origin issue and there is wide scope for future research and development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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 it