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Record W3009988214 · doi:10.3390/su12051786

Are You Environmentally Conscious Enough to Differentiate between Greenwashed and Sustainable Items? A Global Consumers Perspective

2020· article· en· W3009988214 on OpenAlexaffabout
Mariusz Urbański, Adnan ul Haque

Bibliographic record

VenueSustainability · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsYorkville University
Fundersnot available
KeywordsGreenwashingPurchasingRanking (information retrieval)BusinessProduct (mathematics)MarketingStructural equation modelingEnvironmentally friendlyNonprobability samplingPerceptionAdvertisingSustainabilityPsychologyEnvironmental healthComputer scienceMathematics

Abstract

fetched live from OpenAlex

Environmentally sustainable (green) products are frequently advertised to consumers, yet it is debatable whether the consumers are aware whether these green labelled products are environmentally friendly or not. Greenwashing is a phenomenon used by companies to sell their products. Through stratified (probability) and purposive and convenience (non-probability) sampling techniques, an online survey was circulated to gather information from 768 participants from the UK, Canada, and Pakistan to determine consumers’ perspectives on subjects including awareness, trust, and effectiveness regarding greenwashed labelled products. The results were tested using the Chi-Square test for ranked data and structural equation modelling (SEM) for ordinal data. The study found that participants ranking themselves High environmentalists in comparison to Low and Moderate environmentalists, despite being skeptical, fall into the trap of identifying greenwashed products as sustainable. It has been proven that greenwashing negatively impacts the green purchasing behavior of the consumers. Participants reported that products are believed to be sustainable due to the overall perception of the product labelled as greenwashed. There is statistical evidence that purchase intent is not affected by greenwashing. It is also reported that younger people in comparison to older people have less trust and often believe greenwashing is problematic. Consumers were found to be vulnerable and more sensitive when their attention was drawn towards greenwashing. There is a need to educate consumers and improve policies to ensure consumers understand the real labels as greenwashed products are used in daily life.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.233
Teacher spread0.221 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations98
Published2020
Admission routes2
Has abstractyes

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