Employees’ Response to Corporate Greenwashing
Bibliographic record
Abstract
Although research has begun to investigate greenwashing, the effect of this phenomenon on employees has not yet been considered. Accordingly, we investigate greenwashing from an organizational psychology lens, exploring the impact it can have on employees, and whether these effects differ for different types of employees (i.e., those who have an educational background in environmental science and/or sustainability and those who do not). Using data collected at three separate time points from two distinct employee groups, our results show that greenwashing was negatively related to employees’ other-serving/genuine CSR attributions, pro-environmental work climate perceptions as well as their organizational trust and identification, but only for employees educated in environmental science and/or sustainability. Surprisingly, we found that greenwashing was positively related to self-serving CSR perceptions for both employee groups. These findings generate insights into the extent to which corporate environmental communications can backfire, by uncovering the deleterious effects greenwashing can have for certain employees.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| 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".