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Record W2992758325

An empirical study on taiwanese and canadian consumers’ purchase intention of green product

2012· article· en· W2992758325 on OpenAlexaboutno aff
Vincent Chang, Hector K. M. Kao, Benjamin J.C. Yuan

Bibliographic record

VenueInternational Journal of Business Economics and Management Research · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsnot available
Fundersnot available
KeywordsPurchasingTheory of planned behaviorLocus of controlMarketingProduct (mathematics)AdvertisingConsumer behaviourControl (management)BusinessPsychologyEconomicsMathematicsSocial psychologyManagement
DOInot available

Abstract

fetched live from OpenAlex

Consumers are showing the desire and willingness to purchase eco-friendly products in place of their traditional counterparts. This has resulted in an increase in business opportunities for the producers of green products and an increase in opportunity for policy makers hoping to capitalize on this trend towards “eco-friendliness”. This study examines the green purchase behavior in Taiwanese and Canadian cultural settings through the application of the Theory of Planned Behavior. To accomplish this, consumers in Hsinchu, Taiwan and Ottawa, Canada were surveyed and the relevant data was analyzed and showed the overall usefulness of the model to explain eco-friendly purchases. The analysis also showed that attitudes exert the strongest influence on behavioral intention in Canadian and Taiwanese consumers. The findings suggest the both Taiwanese and Canadian consumers perceive themselves as having a high degree of control over purchasing green products, suggesting the existence if internal locus of control in both samples.

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)0.003
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 score0.030
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.054
GPT teacher head0.338
Teacher spread0.284 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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