MétaCan
Menu
Back to cohort
Record W2804379246 · doi:10.5539/jsd.v11n3p9

Sources of Consumers Awareness toward Green Products and Its Impact on Purchasing Decision in Bangladesh

2018· article· en· W2804379246 on OpenAlexvenueno aff
Md. Zillur Rahman Siddique, Afzal Hossain

Bibliographic record

VenueJournal of Sustainable Development · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsnot available
Fundersnot available
KeywordsPurchasingBusinessLikert scaleGreen marketingMarketingConsumer awarenessPurchasing decisionMathematicsStatistics

Abstract

fetched live from OpenAlex

Consumers’ green products awareness is significant in indicating the way of the green products buying decision. This study aims to investigate the sources of consumers’ awareness toward green products and its impact on purchasing decision. The data is collected from 300 respondents by survey method through a structured questionnaire with five-point Likert scales & multiple items. Convenience and judgmental sampling method are used. Data are analysed using frequency analysis, mean, standard deviation and regression analysis. The study has found that promotional activities on eco-friendly products and reference groups significantly influence consumers green products awareness. Majority of the respondents are aware of green products. This study also reveals that green products awareness as the critical factor, which significantly affects consumers green purchasing decision. This paper can contribute to this green awareness issues. The company can be benefited knowing sources of green products awareness. Those it can aid green awareness development along with green products offer to consumers.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.254
Teacher spread0.238 · 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 source (direct Gemma or distilled Codex), 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

Citations51
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Sustainable DevelopmentSame topicEnvironmental Sustainability in BusinessFrench-language works237,207