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Record W2970899492 · doi:10.1002/bse.2380

The effect of greenwashing on online consumer engagement: A comparative study in France, Germany, Turkey, and the United Kingdom

2019· article· en· W2970899492 on OpenAlexaboutno aff
İbrahim Topal, Sima Nart, Cüneyt Akar, Alptekin Erkollar

Bibliographic record

VenueBusiness Strategy and the Environment · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Marketing and Social Media
Canadian institutionsnot available
Fundersnot available
KeywordsGreenwashingSocial mediaAdvertisingQuarter (Canadian coin)BusinessKingdomPolitical scienceCorporate social responsibilityGeographyPublic relations

Abstract

fetched live from OpenAlex

Abstract The effect of the Volkswagen emission crisis in 2015, the biggest greenwashing event in recent years, on the online consumer engagement of Facebook brand pages was investigated in France, Germany, Turkey, and the United Kingdom. These countries have been selected for the reason that Volkswagen sales and diesel‐engine cars and the use of social media are quite common. For 6 years in these four countries, the likes, comments, and shares made by consumers on the Facebook brand page of Volkswagen have been examined. The monthly dataset covers January 2012 to December 2017. The obtained data were analyzed with autoregressive–moving average models. Despite a globally positive approach to green products, countries' attitudes toward greenwashing have been significantly different. The findings showed that online consumer engagement was negative in the United Kingdom and Turkey and in a positive direction in Germany, whereas there was no change in France in the fourth quarter of 2015.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.401
Threshold uncertainty score0.507

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.026
GPT teacher head0.289
Teacher spread0.263 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations73
Published2019
Admission routes1
Has abstractyes

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