Attenuating double jeopardy of negative country of origin effects and latecomer brand
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
Purpose – The purpose of this paper is to examine the role of ethnocentrism in attenuating the negative country of origin effect and latecomer brands. The literature has established the importance of the “country of origin” effect, and this study compares consumers in the Asian emerging markets to developed consumers' response to cars from China, India and Russia. Design/methodology/approach – Data on consumers' willingness to purchase cars from emerging markets such as China, India and Russia were collected from 3,201 respondents in those three emerging markets and in the three most important Western car markets, the USA, the UK and Germany. The study employed a choice-based conjoint analysis. Findings – The results of this study confirmed the hypothesised ethnocentrism in the emerging markets with a strong preference for their own latecomer brands (Great Wall, Tata and AvtoVAZ, respectively). Developed markets in contrast are more sceptical of the Chinese, Indian and Russian car brands, but there is nonetheless substantial potential, especially with consumers who have previously bought latecomer brands from Asia. Utility values per brand, price, brand-partnership, product features, warranties and also place of manufacturing/assembly have been calculated in the study. Originality/value – This paper should prove valuable to academic researchers in establishing strong consumer preferences in emerging markets for their own products, and in establishing the potential of latecomer brands in developed markets.
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 | 0.001 |
| 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 | 0.000 |
| 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