Local or Global Image? The Role of Consumers' Local–Global Identity in Code-Switched Ad Effectiveness Among Monolinguals
Bibliographic record
Abstract
Local and global brands alike have increasingly used code-switching to enhance advertising persuasion. Although this tactic is widely used, previous studies have focused on bilinguals but not monolinguals. Because of the emerging use of code-switching in advertisements in monolingual markets, more research efforts are required to understand its effectiveness and boundaries among monolinguals. This study investigated whether the consumers' local–global identity plays a moderating role in the effectiveness of code-switched advertisements among monolinguals. The consumers' local–global identity refers to the combination of local and global identities possessed by individuals that affect how they define themselves in relation to the social environment. Study 1 (manipulating consumers' local–global identity) demonstrated that the local–global identity moderated the effect of code-switched advertisements. The results indicated that the congruence between code-switching and the consumers' local–global identity enhanced persuasiveness, and that advertising involvement mediated this effect. Study 2 replicated the findings of Study 1 by using a local–global identity measure. These findings provide implications for branding and advertising strategies.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".