Socially Irresponsible Corporations and Choices of Consumers: Altruism, Retaliation, or Demand for Reparation?
Bibliographic record
Abstract
In this study we investigate consumers’ perceptions regarding corporate social irresponsibility (CSiR), perceived betrayal, and punishment behaviors (altruistic, retaliatory and demand for reparation behavior). This article examined empirically the relationship between CSiR and punishment behaviors with perceived betrayal as a moderator via PLS-SEM and PROCESS. The results supported three main hypotheses (a) consumers’ CSiR perception positively predicted their altruistic, retaliatory and demand for reparation behaviors as well as feelings of perceived betrayal; (b) Consumers’ feelings of perceived betrayal positively influenced their altruistic, retaliatory and demand for reparations behaviors; (c) Consumers’ feelings of perceived betrayal mediated the relationship between CSiR and punishment behaviors. Findings suggest that once consumers perceived CSiR events, they tend to perform punishment behaviors to penalize socially irresponsible corporations.
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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 | 0.006 | 0.032 |
| 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".