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Record W4319841371 · doi:10.1002/bse.3351

Employees' response to corporate greenwashing

2023· article· en· W4319841371 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBusiness Strategy and the Environment · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsUniversity of TorontoWestern University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsGreenwashingMisrepresentationBusinessMarketingExaggerationSustainabilityBusiness ethicsPerceptionPublic relationsHypocrisyCorporate social responsibilityPsychologyPolitical scienceEcology

Abstract

fetched live from OpenAlex

Abstract Research on corporate greenwashing has expanded rapidly in recent years. At the same time, emerging studies in related literatures have found that employees are seeking out firms that are social and environmental leaders, and employee activism within firms is growing. However, the effect of firms' exaggeration and misrepresentation of environmental claims, or greenwashing, on their own employees has been overlooked. 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. Using data collected at three separate time points from a sample of employees educated in environmental science/sustainability, our results show that greenwashing was positively related to perceptions of corporate hypocrisy, which in turn, resulted in higher turnover intentions. We also found that these relationships were moderated by employees' level of environmental education. By uncovering the deleterious effects greenwashing can have for employees, and by extension for their employers, these findings generate insights into the extent to which corporate environmental communications can backfire.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.668
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.042
GPT teacher head0.235
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it