Perceived deception and online repurchase intention: The moderating effect of product type and consumer regulatory orientation
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
Abstract Limited by e‐tailers' ability to present accurate information about their products, consumers often misunderstand and misinterpret product messaging, which can heighten their perception of deception among e‐tailers and result in unfavorable consumer behaviors and actions. Integrating perceived deception and existing consumer behavior theories, this research examines the intricate relationships between product type (hedonic vs. utilitarian), consumer regulatory orientation (promotion vs. prevention), and their interactive effect on the relationship between perceived deception and consumer repurchase intention in online settings. Across three studies, we identified a less negative impact due to perceived deception for online repurchase intention of hedonic products than for utilitarian products. After perceived deception occurs, promotion‐oriented individuals show a higher online repurchase intention compared to prevention‐oriented individuals. Furthermore, the fit between promotion orientation and hedonic products works best to attenuate perceived deception's unfavorable impact on online repurchase intention. In contrast, the fit between prevention orientation and utilitarian products leads to the lowest online repurchase intentions. Also, e‐tailers can increase repurchase intentions by emphasizing the hedonic attribute, and instigating promotion intention would help mitigate the negative effects of perceived deception.
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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 | 0.001 |
| 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