X-Scale: a new scale to measure consumer xenocentrism
Bibliographic record
Abstract
Purpose The purpose of this paper is to create and validate a scale that measures consumer xenocentrism in developing countries, where this phenomenon is furthermost prevalent. This study aimed for the conceptualization, construct development and validation of a new scale labeled X-Scale. The theoretical framework was based on the theories of social comparison, system justification and culture. Design/methodology/approach This study employed a mixed-method and multi-stage research approach to investigate the domain of xenocentrism in the context of consumer behavior and subsequently develop a scale (X-Scale), while assessing its dimensionality, reliability and validity. Qualitative and quantitative techniques were used for the development of the scale. Multi-stage data from five developing countries were collected for validation purposes: Mexico, Colombia, Peru, Ecuador and China. Findings Results indicate that the consumer xenocentrism construct has two dimensions: foreign admiration and domestic rejection. Each dimension is comprised of five items. The reliability tests, the goodness-of-fit measures and the psychometric properties indicate a reliable construct. In addition, this study shows that consumer xenocentrism is a key predictor of consumers’ preferences for foreign brands over domestic ones. Originality/value This is the first empirical study on consumer xenocentrism conducted in several developing countries. The X-Scale developed here is invariant across countries and, therefore, allows for comparison among them.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 source (direct Gemma or distilled Codex), 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".