The Effects of Acculturation on Consumers' Sensitivity to Prices
Bibliographic record
Abstract
ABSTRACT This study drew upon anthropological learning models, research in cross-cultural psychology, and research in pricing to understand how an immigrant population's learning of a new culture and its norms affects their evaluation of price information and price acceptability for products offered in the host culture. Specifically, this study used a survey methodology to examine the effects of acculturation on the price sensitivity of Asian-Indian consumers. The survey included measures of participants' acculturation levels (measured by the SL-ASIA scale), price acceptability and prior knowledge. Findings suggest that as Asian-Indians' acculturation levels increase, higher prices become more acceptable. In particular, this appears to be true more for Asian-Indian females than males. With increasing acculturation the range of acceptable prices of the highly acculturated Asian-Indian consumers started to resemble those of the U. S. sample, hence supporting thelearning modelsof acculturation.
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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 | 0.002 | 0.002 |
| 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) | 0.000 | 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 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".