Turning Off the Lights: Consumers’ Environmental Efforts Depend on Visible Efforts of Firms
Bibliographic record
Abstract
Firms can save considerable money if consumers conserve resources (e.g., if hotel patrons turn off the lights when leaving the room, restaurants patrons use fewer paper napkins, or airline passengers clean up after themselves). In two studies conducted in real-world hotels, the authors show that consumers’ conservation behavior is affected by the extent to which consumers perceive the firm as being green. Furthermore, consumer perceptions of firms’ greenness and consumer conservation behavior depend on (a) whether the firm requests them to conserve resources, (b) the firm’s own commitment to the environment, and (c) the firm’s price image. Additionally, firm requests to consumers to save resources can create consumer reactance and can backfire when firms themselves do not engage in visible costly environmental efforts. Such reactance is more likely for firms with a high price image. Finally, the authors show that by spending a little money to signal environmental commitment, firms can save even more money through consumers’ conservation of resources, resulting in wins for the firm, the consumer, and the environment.
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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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".