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Record W4226434339 · doi:10.5267/j.ijdns.2022.2.005

Analyzing the relationship between consumer trust, awareness, brand preference, and purchase intention in green marketing

2022· article· en· W4226434339 on OpenAlexvenueno aff
Eddy Junarsin, Christian Haposan Pangaribuan, Maria Wahyuni, Desman Hidayat, Okta Prihatma Bayu Putra, Putri Maulida, Wahyoe Soedarmono

Bibliographic record

VenueInternational Journal of Data and Network Science · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsnot available
Fundersnot available
KeywordsPreferenceBrand preferenceGreen marketingBusinessMarketingCorporate social responsibilityConsumption (sociology)Brand awarenessGreen consumptionAdvertisingProduction (economics)EconomicsPublic relations

Abstract

fetched live from OpenAlex

As part of their corporate social responsibility (CSR) and sustainable products, many big players in the industry have now reduced plastic through the design, manufacturing and packaging of products and their ultimate disposal. This paper investigates the direct and indirect relationships between awareness, trust, and brand preference on purchase intention in green marketing. Based on a review of the literature, a series of hypotheses are derived and tested using regression analysis. The research employs an online survey-based method to test a theoretically grounded set of proposed hypotheses. The data were collected from 348 young adults living in Jakarta, Indonesia. The results show that green awareness does not influence purchase intention directly. On the other hand, the indirect effect of green awareness through green brand preference on purchase intention was greater compared with the indirect effect through green trust. Therefore, this study draws attention to the importance of green brand preference and green trust on purchase intention. Given that the consumption of organic products has the potential to elicit awareness, trust, and preference of eco-friendly consumers, these findings have significant management implications for corporate managers when considering the production of organic commodities.

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)0.005
metaresearch head score (Gemma)0.001
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 score0.015
Threshold uncertainty score0.363

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.003
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 head0.062
GPT teacher head0.297
Teacher spread0.235 · 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

Citations21
Published2022
Admission routes1
Has abstractyes

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