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 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 | 0.001 | 0.006 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".