MétaCan
Menu
Back to cohort
Record W2479027724 · doi:10.1509/jmr.14.0441

Turning off the Lights: Consumers' Environmental Efforts Depend on Visible Efforts of Firms

2016· article· en· W2479027724 on OpenAlexaff
Wenbo Wang, Aradhna Krishna, Brent McFerran

Bibliographic record

VenueJournal of Marketing Research · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsBusinessMarketingReactancePerceptionConsumer behaviourConsumer demandAdvertisingCommerceEconomicsMicroeconomics

Abstract

fetched live from OpenAlex

Firms can save considerable money if consumers conserve resources (e.g., if hotel patrons turn off the lights when leaving the room, if restaurant patrons use fewer paper napkins, if 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 (1) whether the firm asks consumers to conserve resources, (2) the firm's own commitment to the environment, and (3) the firm's price image. In addition, 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.

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)0.016
metaresearch head score (Gemma)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.271
Teacher spread0.253 · 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

Citations126
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Marketing ResearchSame topicEnvironmental Sustainability in BusinessFrench-language works237,207